Automotive radar selection and placement

Abstract

The disclosure provides "automotive radar selection and placement". Systems and methods for monitoring and detecting unauthorized access to a vehicle are provided. The systems and methods may use sensors to receive monitoring data of a vehicle. The system and method may detect an intrusion of an entity to the vehicle from the monitoring data. The system and method may transition the sensor to a minimum power state when the intrusion to the vehicle is detected. The systems and methods may perform a scan of the vehicle using the sensor to obtain information indicative of the type of intrusion. The systems and methods may determine, from the scan, that a type of intrusion to the vehicle is a threat intrusion, and that the entity is performing an unauthorized action, by determining that the entity causing the intrusion is not authorized. The systems and methods may perform security actions to interfere with the threat intrusion.

Description

Technical Field

[0001] The present disclosure generally relates to the field of vehicle protection, and more particularly to systems and methods for automotive radar selection and placement to monitor and detect unauthorized access to a vehicle. Background Art

[0002] Automobiles can be used as a means of transportation for the public. Automobiles can include motor vehicles, cars, trucks, motorcycles, bicycles, scooters, mopeds, recreational vehicles, and other similar on-road or off-road vehicles. Automobiles can also include autonomous vehicles, semi-autonomous vehicles, and manual vehicles. Just as automobiles can be used to transport people, automobiles can also be used to store and transport other objects, which can be living (e.g., animals, insects, plants, etc.) and inanimate objects (e.g., furniture, clothes, books, electrical appliances, etc.).

[0003] Since automobiles are a major source of transportation, the security of automobiles and any objects and property stored therein may be important for ensuring public reliance on and use of automobiles. When an automobile is stationary, people may be more reliant on the security of the automobile to safeguard any objects and property left inside. Although most existing automobiles include security systems, most security systems do not have the components necessary to actively monitor and detect unauthorized access to the vehicle. This deficiency in most current security systems can lead to intrusion and theft incidents in stationary automobiles. Summary of the Invention

[0004] According to various aspects of the disclosed technology, systems and methods are provided for monitoring and detecting unauthorized access to a vehicle.

[0005] According to some implementations, a method for monitoring and detecting unauthorized access to a vehicle is provided. The method can include: receiving surveillance data of the vehicle via a sensor; detecting an intrusion of an entity into the vehicle from the surveillance data; switching the sensor out of a minimum power state when the intrusion into the vehicle is detected; performing a scan of the vehicle using the sensor to obtain information indicating the type of the intrusion; determining that the type of the intrusion into the vehicle is a threat intrusion based on the scan; and performing a security action to interfere with the threat intrusion.

[0006] In some applications, the sensor can be located on a device for monitoring and detecting unauthorized access to the vehicle.

[0007] In some applications, the device can be located on a vertical surface of the vehicle.

[0008] In some applications, the sensor may include at least one of a radar sensor, a camera, an image sensor, a light detection and ranging (LiDAR) sensor, a position sensor, an audio sensor, an infrared sensor, a microwave sensor, an optical sensor, a tactile sensor, a magnetometer, a communication system, and a global positioning system (GPS).

[0009] In some applications, detecting the intrusion of the entity into the vehicle may include determining that the entity is within a distance threshold from the vehicle based on the surveillance data.

[0010] In some applications, determining that the type of the intrusion is a threat intrusion may include: identifying the entity that causes the intrusion into the vehicle from the scan; determining that the entity is unauthorized based on the entity identification; and determining that the entity is performing an unauthorized action on the vehicle.

[0011] In some applications, determining that the entity is unauthorized may include: using a machine learning (ML) algorithm to analyze the entity identification; and determining that the entity identification does not match the identity of an authorized entity to access the vehicle.

[0012] In some applications, the unauthorized action may include at least one of the following: entering the vehicle, climbing on the vehicle, damaging the vehicle, removing an item from the vehicle, and putting an item into the vehicle.

[0013] In some applications, the security action may include at least one of the following: recording the intrusion, issuing a warning, flashing the vehicle lights, playing a sound, sending an alert, and projecting a flash.

[0014] In another aspect, a system for monitoring and detecting unauthorized access to a vehicle is provided. The system may include one or more processors; and a memory coupled to the one or more processors for storing instructions that, when executed by the one or more processors, may cause the one or more processors to perform operations. The operations may include: receiving, by a sensor, surveillance data of the vehicle; detecting, from the surveillance data, an intrusion of an entity into the vehicle; switching the sensor out of a minimum power state when the intrusion into the vehicle is detected; performing, using the sensor, a scan of the vehicle to obtain information indicating the type of the intrusion; determining, based on the scan, that the type of the intrusion into the vehicle is a threat intrusion; and performing a security action to interfere with the threat intrusion.

[0015] In some applications, the sensor may be located on a device for monitoring and detecting unauthorized access to the vehicle.

[0016] In some applications, the device may be located on a vertical surface of a vehicle.

[0017] In some applications, the sensor may include at least one of a radar sensor, a camera, an image sensor, a light detection and ranging (LiDAR) sensor, a position sensor, an audio sensor, an infrared sensor, a microwave sensor, an optical sensor, a tactile sensor, a magnetometer, a communication system, and a global positioning system (GPS).

[0018] In some applications, detecting the intrusion of the entity into the vehicle may include determining that the entity is within a distance threshold from the vehicle based on the surveillance data.

[0019] In some applications, determining that the type of the intrusion is a threat intrusion may include: identifying the entity that causes the intrusion into the vehicle from the scan; determining that the entity is unauthorized based on entity identification; and determining that the entity is performing an unauthorized action on the vehicle.

[0020] In some applications, determining that the entity is unauthorized may include: using a machine learning (ML) algorithm to analyze the entity identification; and determining that the entity identification does not match the identity of an authorized entity accessing the vehicle.

[0021] In some applications, the unauthorized action may include at least one of the following: entering the vehicle, climbing on the vehicle, damaging the vehicle, removing an item from the vehicle, and putting an item into the vehicle.

[0022] In some applications, the security action may include at least one of the following: recording the intrusion, issuing a warning, flashing the vehicle lights, playing a sound, sending an alert, and shining a projection.

[0023] In another aspect, a non - transitory machine - readable medium is provided. The non - transitory computer - readable medium may include instructions that, when executed by a processor, may cause the processor to perform operations including: receiving, via a sensor, surveillance data of the vehicle; detecting, from the surveillance data, an intrusion of an entity into the vehicle; switching the sensor out of a minimum - power state when the intrusion into the vehicle is detected; performing a scan of the vehicle using the sensor to obtain information indicating the type of the intrusion; determining, based on the scan, that the type of the intrusion into the vehicle is a threat intrusion; and performing a security action to disrupt the threat intrusion.

[0024] In some applications, the sensor may be located on a device for monitoring and detecting unauthorized access to the vehicle.

[0025] In some applications, the device may be located on a vertical surface of a vehicle.

[0026] In some applications, the sensor may include at least one of a radar sensor, a camera, an image sensor, a light detection and ranging (LiDAR) sensor, a position sensor, an audio sensor, an infrared sensor, a microwave sensor, an optical sensor, a tactile sensor, a magnetometer, a communication system, and a global positioning system (GPS).

[0027] In some applications, detecting the entity's intrusion into the vehicle may include determining that the entity is within a distance threshold from the vehicle based on the surveillance data.

[0028] In some applications, determining that the type of the intrusion is a threat intrusion may include: identifying the entity that causes the intrusion into the vehicle from the scan; determining that the entity is unauthorized based on entity identification; and determining that the entity is performing an unauthorized action on the vehicle.

[0029] In some applications, determining that the entity is unauthorized may include: using a machine learning (ML) algorithm to analyze the entity identification; and determining that the entity identification does not match the identity of an authorized entity accessing the vehicle.

[0030] In some applications, the unauthorized action may include at least one of the following: entering the vehicle, climbing onto the vehicle, damaging the vehicle, removing an item from the vehicle, and putting an item into the vehicle.

[0031] In some applications, the security action may include at least one of the following: recording the intrusion, issuing a warning, flashing the vehicle lights, playing a sound, sending an alert, and projecting a flash.

[0032] Based on the following detailed description in conjunction with the accompanying drawings, other features and aspects of the disclosed technology will become apparent. The drawings illustrate, by way of example, the features of applications in accordance with the disclosed technology. This summary is not intended to limit the scope of any invention described herein, the scope of which is defined only by the appended claims. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The present disclosure is described in detail below with reference to the following drawings. The drawings are provided for illustrative purposes only and depict only typical or exemplary applications.

[0034] Figure 1 is an exemplary illustration of a computing system for monitoring and detecting unauthorized access to a vehicle in accordance with an exemplary application described in the present disclosure.

[0035] Figure 2It is an exemplary illustration of a device that can be used to implement the applications of the disclosed technology.

[0036] Figure 3 It is an exemplary illustration of the design of a device for monitoring and detecting unauthorized access to a vehicle according to an exemplary application described in the present disclosure.

[0037] Figure 4 It is an exemplary illustration of a vehicle layout where a device for monitoring and detecting unauthorized access to a vehicle can be installed according to an exemplary application described in the present disclosure.

[0038] Figure 5 It is an exemplary illustration of a perspective of a device for monitoring and detecting unauthorized access to a vehicle according to an exemplary application described in the present disclosure.

[0039] Figure 6A and Figure 6B It is an exemplary illustration of a perspective of a device for monitoring and detecting unauthorized access to a vehicle according to an exemplary application described in the present disclosure.

[0040] Figure 7 It is an exemplary illustration of a computing component including one or more hardware processors and a machine-readable storage medium storing a set of machine-readable / machine-executable instructions, which when executed cause the one or more hardware processors to perform an illustrative method for monitoring and detecting unauthorized access to a vehicle according to an exemplary embodiment described in the present disclosure.

[0041] Figure 8 It is an exemplary illustration of a computing component that can be used to implement various features of the embodiments described in the present disclosure.

[0042] The drawings are not exhaustive and do not limit the present disclosure to the exact forms disclosed. Detailed Description

[0043] As described above, an automobile can be used as a means of transportation for the public. Just as an automobile can be used to transport people, it can also be used to store and transport other objects, which can be living (e.g., animals, insects, plants, etc.) and inanimate objects (e.g., furniture, clothes, books, electrical appliances, etc.). When an automobile is stationary, people may rely on the security of the automobile to safeguard any objects and property left in the automobile. Although most existing automobiles include security systems, most security systems do not have the components necessary for actively monitoring and detecting unauthorized access to the automobile, which may lead to intrusion and theft incidents in stationary automobiles.

[0044] Aspects of the technology disclosed herein can provide systems and methods configured to monitor and detect unauthorized access to a vehicle. The vehicle can be used as a tool for storing and transporting objects, which can be living (e.g., animals, insects, plants, etc.) and inanimate objects (e.g., furniture, clothes, books, electrical appliances, etc.), and can also be used as a tool for transporting people. The vehicle can include, for example, cars, trucks, motorcycles, bicycles, scooters, mopeds, recreational vehicles, and other similar on-road or off-road vehicles. The vehicle can include, for example, autonomous, semi-autonomous, and manual operations. The vehicle can include one or more devices that can be used to monitor the vehicle and detect any intrusion into the vehicle. The devices for monitoring surveillance and detecting intrusion can be implemented on the vertical-facing surfaces of the vehicle (including, for example, the surfaces of the vertical internal frame of the vehicle, the vertical external frame of the vehicle, the surface of the rear window, etc.). Many variations are possible.

[0045] The devices for monitoring surveillance and detecting intrusion can include one or more sensors that can be used to collect data for the surveillance of the vehicle. The sensors can include, for example, radar sensors, cameras, image sensors, light detection and ranging (LiDAR) sensors, position sensors, audio sensors, infrared sensors, microwave sensors, optical sensors, tactile sensors, magnetometers, communication systems, and global positioning systems (GPS). The radar sensors can include, for example, pulsed radar, continuous wave radar, frequency modulated continuous wave (FMCW) radar (e.g., Infineon 60GHz BGT60TR13C radar), bistatic radar, Doppler radar, monopulse radar, passive radar, measurement radar, mapping radar, search radar, etc. The data can be received by at least one sensor of the device. The data for the surveillance of the vehicle can include information about people, objects, and other vehicles in the vicinity of the vehicle (including inside and outside the vehicle). Many variations are possible.

[0046] The data for the surveillance of the vehicle can be analyzed by the device after being collected by at least one sensor of the device. Analyzing the data for the surveillance of the vehicle can detect one or more intrusions of one or more entities into the vehicle. An intrusion into the vehicle can include, for example, when an entity enters a specific vicinity of the vehicle. The specific vicinity of the vehicle can be within a distance threshold from the vehicle. The distance threshold can be preset. The distance threshold can vary according to the location of the vehicle, such as, for example, when the vehicle is stationary in a parking garage, by the roadside, in an open space, etc. The distance threshold can be updated according to algorithms and models using the safety data of the vehicle. The entity can include people, objects, and other vehicles that have not been associated with the vehicle. When the entity was included inside the vehicle before the device's surveillance of the vehicle, the entity can be associated with the vehicle. Many variations are possible.

[0047] When first starting a device for monitoring and detecting an intrusion into a vehicle, the device may implement a minimum power state for one or more of its sensors. The sensors being in the minimum power state may allow the sensors to be active and operate for a longer duration. The sensors being in the minimum power state may also limit the capabilities and functions of the sensors to reduce the amount of power being consumed by the sensors, thereby allowing the sensors to be active and operate for a longer duration.

[0048] The sensors may remain in the minimum power state until the sensors are awakened and transition out of the minimum power state. Detecting an intrusion by an entity into the vehicle may cause the device to transition one or more of the device's sensors out of the minimum power state. When the sensors are out of the minimum power state, the sensors may fully function with all of their capabilities and functions. The sensors may also consume more power and be active and operate for a shorter duration when out of the minimum power state. To conserve power and maintain an optimal usage duration of the sensors, when no longer detecting an intrusion and when it is determined that the intrusion is authorized, the device may transition the sensors back to the minimum power state.

[0049] After the sensors have transitioned out of the minimum power state, the sensors may have full functionality allowing the use of functions to perform a scan of the vehicle. The sensors may perform a scan of the vehicle as well as everything inside and outside the vehicle in the vicinity of the vehicle. The vicinity of the vehicle that the sensors' scan may cover may be preset. The vicinity of the vehicle may vary according to the position of the vehicle, such as for example the vehicle being stationary in a parking garage, by the roadside, in an open space, etc. The vicinity of the vehicle may be updated according to algorithms and models using the vehicle's safety data. The vicinity of the vehicle may be the same as a distance threshold from the vehicle for detecting the occurrence of an intrusion into the vehicle. Performing a scan of the vehicle may allow the sensors to obtain information about an intrusion occurring on the vehicle, including for example information about one or more entities causing the intrusion, information about the actions being performed by the one or more entities, etc. Many variations are possible.

[0050] The information about the intrusion may be analyzed to determine the type of the intrusion. The type of the intrusion may include for example a security intrusion and a threat intrusion. A security intrusion may be an intrusion caused by an entity authorized to access the vehicle. A security intrusion may be an intrusion caused by an entity identified as harmless to the vehicle. A threat intrusion may be an intrusion caused by an entity identified as not authorized to access the vehicle. A threat intrusion may be an intrusion caused by an entity identified as harmful to the vehicle. Many variations are possible.

[0051] When a sensor of a device used to monitor and detect an intrusion into a vehicle is performing a scan of the vehicle, the sensor can collect information about the intrusion occurring on the vehicle. Information about the intrusion can include, for example, information about one or more entities causing the intrusion, information about the actions being performed by the one or more entities, and so on. The information about the intrusion can be analyzed to determine the type of intrusion, such as, for example, a security intrusion or a threat intrusion.

[0052] To determine that the type of intrusion is a threat intrusion, the information about the intrusion obtained from the scan can be analyzed. The information about the intrusion can be analyzed to first identify one or more entities causing the intrusion into the vehicle. In one example, each of the one or more entities can be identified as a person, an animal, an object, etc. The entities can be identified by analyzing the information about the intrusion to obtain the identity of the entity (such as, for example, facial recognition of the entity). After the entities are identified, it can be determined whether the entities are unauthorized to access the vehicle. Determining whether the entities are unauthorized to access the vehicle can include using ML algorithms, models, databases, servers, etc. to analyze the identification of the entities to determine that the identification of the entities does not match the identity of the authorized entities to access the vehicle. Such ML algorithms, models, databases, servers, etc. can include information about the entities authorized to access the vehicle, such as, for example, facial recognition. In another example, the information about the intrusion can be analyzed to determine whether at least one of the one or more entities causing the intrusion is a person. If it is determined that at least one of the one or more entities causing the intrusion is a person, then it can be determined that all of the one or more entities causing the intrusion are unauthorized entities. Many variations are possible.

[0053] When it is determined that at least one entity is an unauthorized entity, the information about the intrusion can be further analyzed to determine whether the unauthorized entity is performing an unauthorized action on the vehicle. In one example, if it is determined based on the analysis of the identification of at least one entity that the entity is unauthorized, it can be determined whether the entity is performing an unauthorized action on the vehicle. Unauthorized actions can include, for example, entering the vehicle, climbing on the vehicle, damaging the vehicle, removing items from the vehicle, and putting items into the vehicle. When it is determined that the unauthorized entity is performing an unauthorized action on the vehicle, then the type of intrusion can be determined as a threat intrusion. If it is determined based on the analysis of the identification of the entity that the entity is authorized, then the type of intrusion can be determined as a security intrusion. If it is determined that the entity is unauthorized, but it is determined that the unauthorized entity is not performing an unauthorized action on the vehicle, then the type of intrusion can be determined as a security intrusion. Many variations are possible.

[0054] When it is determined that the type of the intrusion is a threat intrusion, one or more security actions may be performed. The security actions may include, for example, recording the intrusion, issuing a warning, flashing the vehicle lights, playing a sound, sending an alert, and shining a projection. Recording the intrusion may include, for example, recording at least one of a video, taking a photo, recording an audio, etc. The security actions may be performed by a device for monitoring surveillance and detecting intrusion into a vehicle. The security actions may be performed by a vehicle associated with the device for monitoring the surveillance and detecting the intrusion into the vehicle. The security action of the alert may also be sent to another device (e.g., a user device of the vehicle owner) and a network / system (e.g., a police network, a home network, a work network, a vehicle security network, etc.) to notify of the threat intrusion. The alert may include, for example, a message, a record, a sound, a GPS location, an identification, etc. of information about the threat intrusion into the vehicle. Many variations are possible.

[0055] In this way, active surveillance can be performed on the vehicle to correctly monitor and detect the occurrence of any intrusion into the vehicle. This may be beneficial to the vehicle owner by increasing the security and protection of the vehicle as well as any property, people, and objects left inside the vehicle. The active detection and response to unauthorized intrusion and access to the vehicle can also deter forced entry, theft, vandalism, and other improper acts that may be performed on the vehicle. The active detection and response to unauthorized intrusion and access to the vehicle may also increase the likelihood that a criminal will be arrested and punished for their crime.

[0056] It should be noted that terms such as "accurate", "accurately", etc. as used herein may be used to indicate making or achieving performance that is as effective or perfect as possible. However, as will be recognized by a person of ordinary skill in the art reading this document, it is not always possible to achieve perfection. Therefore, these terms may also cover making or achieving performance that is as good or effective or feasible as possible in a given situation, or making or achieving performance that is better than the performance that can be achieved using other settings or parameters.

[0057] Figure 1An example of a computing system 100 that can be internal to or otherwise associated with a device 150 is shown. In some embodiments, the computing system 100 can be a machine learning (ML) pipeline and model and use ML algorithms. In some examples, the device 150 can be a computing device such as a desktop computer, laptop computer, mobile phone, tablet device, Internet of Things (IoT) device, etc. The device 150 can input data into a computing component 110. The computing component 110 can perform one or more available operations on the input data to generate an output, such as monitoring and detecting unauthorized access to a vehicle. The device 150 can also display the output on a graphical user interface (GUI). The GUI can be on the device 150 or another computing device and can display the output as images, video recordings, and two-dimensional (2D) and three-dimensional (3D) layouts that show various outputs generated by algorithms (such as ML algorithms) based on various input data (such as sensor data for monitoring the vehicle).

[0058] The computing system 100 in the example shown can include one or more processors and logic 130 that implement instructions to perform the functions of the computing component 110, e.g., receive surveillance data of the vehicle, detect an intrusion of an entity into the vehicle, transition the sensors out of a minimum power state when the intrusion into the vehicle is detected, perform a scan of the vehicle to obtain information indicating the type of the intrusion, determine that the type of the intrusion into the vehicle is a threat intrusion, and perform a security action to disrupt the intrusion. The computing component 110 can store details of scenarios or conditions in a database 120 in which some algorithms, image datasets, and evaluations are executed and used to monitor and detect unauthorized access to a vehicle. Some scenarios or conditions will be shown in subsequent figures.

[0059] The processor can include one or more GPUs, CPUs, microprocessors, or any other suitable processing system. Each of the one or more processors can include one or more single-core or multi-core processors. The one or more processors can execute instructions stored in a non-transitory computer-readable medium. The logic 130 can contain instructions (e.g., program logic) executable by the one or more processors to perform the various functions of the computing component 110. The logic 130 can also contain additional instructions, including instructions for transmitting data to the device 150, receiving data from the device, and interacting with the device.

[0060] ML may refer to methods that can automatically extract intelligence or rules from a training dataset using algorithms and capture such intelligence or rules in an information model. Subsequently, these models can make predictions based on patterns or inferences gleaned from subsequent data fed into the trained model. Depending on the implementation of the disclosed technology, ML algorithms particularly include algorithms that implement, for example, Gaussian processes. Depending on the implementation, the ML algorithms disclosed herein can be supervised and / or unsupervised. The ML algorithms can emulate the observed characteristics and components of vehicles, people, and objects to better monitor vehicle surveillance and identify unauthorized entities and actions to accurately detect unauthorized access to a vehicle.

[0061] Although Figure 1 an exemplary computing system 110 is shown, in various embodiments, multiple computing systems 110 may be included. Additionally, one or more systems and subsystems of computing system 100 may include their own dedicated or shared computing components 110 or variants thereof. Thus, although computing system 100 is shown as a discrete computing system, this is for illustrative purposes only, and computing system 100 may be distributed among various systems or components. Computing component 110 may be, for example Figure 2 the monitoring and detection circuit 210 of Figure 7 the computing component 700 of Figure 8 the computing component 800 of.

[0062] Figure 2 An exemplary architecture of a device 200 for monitoring and detecting unauthorized access to a vehicle as described herein is shown. Now referring to Figure 2 , in this example, device 200 includes a monitoring and detection circuit 210, a communication circuit 201, a decision and control circuit 203, a power supply 211, and multiple sensors 220. Also included are various elements of vehicle system 230 and vehicle safety network 240 with which the monitoring and detection device 200 can communicate. It will be understood that vehicle safety network 240 can include various elements important in a vehicle safety network, such as vehicles, people (with or without devices that may include aspects of the monitoring and detection device 200 disclosed herein), or infrastructure (e.g., sensors such as radar, cameras, central servers, databases, etc.). Other elements of vehicle safety network 240 can include connected elements at a workplace or home (such as vehicle chargers, connected devices, appliances, etc.).

[0063] The monitoring and detection device 200 can be implemented as and include one or more components of a vehicle. Elements of the vehicle system 230 and the vehicle safety network 240 can communicate with the monitoring and detection circuit 210 via a wired or wireless communication interface. As previously mentioned, elements of the vehicle safety network 240 can correspond to connected or unconnected devices, infrastructure (e.g., sensors such as radar, cameras, central servers, databases, etc.), vehicles, persons, objects, etc. in the extensive or immediate vicinity of the vehicle or otherwise important to the vehicle safety network. Although the vehicle system 230 and the vehicle safety network 240 are depicted as communicating with the monitoring and detection circuit 210, they can also communicate with each other, as well as with other vehicle systems and directly with elements of the vehicle safety network.

[0064] Data as disclosed herein can be transmitted to and from the monitoring and detection circuit 210. For example, various infrastructure (exemplary elements of the vehicle safety network 240) can include one or more databases, such as vehicle infrastructure data or personnel identification data. This data can be transmitted to the circuit 210 and can be updated based on the results from one or more actions or changes to the vehicle safety network, vehicle systems, and safety data from sensors 220 of the vehicle (e.g., detecting an intrusion and unauthorized persons). All such data can be included in and contribute to the predictive analysis of the likelihood of an intrusion (e.g., via machine learning) and the determination of unauthorized persons and unauthorized access to the vehicle. Similarly, models, circuits, and predictive analysis can be updated based on various results.

[0065] The monitoring and detection circuit 210 can evaluate the surveillance data of the vehicle, the identification of persons, actions occurring to the vehicle, and determine that unauthorized access is occurring to the vehicle to perform a security response as described herein. As will be described in more detail herein, the detection of unauthorized access can have one or more contributing factors. Various sensors 220, vehicle systems 230, and elements of the vehicle safety network 240 can contribute to collecting data to evaluate a possible intrusion and detect unauthorized access to the vehicle. For example, the monitoring and detection circuit 210 can include at least one of a decision and control circuit 203 that can be used to evaluate the collected data. The monitoring and detection circuit 210 can be implemented as an electronic control unit (ECU) or a part of an ECU. In other applications, the monitoring and detection circuit 210 can be implemented independently of the ECU, for example, as another vehicle system.

[0066] The monitoring and detection circuit 210 can be configured to evaluate an intrusion, detect unauthorized access, and respond appropriately. The monitoring and detection circuit 210 can include a communication circuit 201 (in this example, including either or both of a wireless transceiver circuit 202 with an associated antenna 214 and a wired input / output (I / O) interface 204), a decision and control circuit 203 (in this example, including a processor 206 and a memory 208), a power supply 211 (which can include a power source or be connected to an external power source, such as, for example, the power source of a vehicle), and sensors 220. It should be understood that the disclosed monitoring and detection circuit 210 can be compatible with and support one or more standard or non-standard messaging protocols.

[0067] The components of the monitoring and detection circuit 210 are shown to communicate with each other via a data bus, but can include other communications in the interfaces. The decision and control circuit 203 can be configured to control one or more aspects of unauthorized access detection and response. The decision and control circuit 203 can be configured to perform one or more steps described in reference Figure 7 to.

[0068] The processor 206 can include a GPU, CPU, microprocessor, or any other suitable processing system. The processor 206 can include one or more single-core or multi-core processors. The processor 206 executes instructions 209 stored in a non-transitory computer-readable medium such as the memory 208. The memory 208 can contain instructions 209 (e.g., program logic) executable by the processor 206 to perform various functions of the monitoring and detection device 200, including functions of vehicle systems and subsystems. The memory 208 can also contain additional instructions, including instructions for transmitting data to, receiving data from, interacting with, and controlling one or more of the sensors 220, the AV control system, and the vehicle system 230. In addition to the instructions, the memory 208 can also store data and other information used by the monitoring and detection device 200 and its systems and subsystems for operation. For example, the memory 208 can include data that has been transmitted to the vehicle (e.g., via V2X communication), security data, vehicle dynamics data, computer vision recognition data, and other data that can be used to perform one or more intrusion detections, person identifications, and unauthorized access verifications.

[0069] The memory 208 may include one or more various forms of memory or data storage devices (e.g., flash, RAM, etc.), which may be used to store calibration parameters, images (analytical or historical), point parameters, instructions and variables for the processor 206, and any other suitable information. The memory 208 may consist of one or more modules of one or more different types of memory and may be configured to store data and other information as well as operation instructions 209 that may be used by the processor 206 to perform one or more functions of the monitoring and detection circuit 210. For example, the data and other information may include vehicle infrastructure data, such as parameters of the vehicle. The data may also include signal values of one or more sensors 220 that may be used to detect and verify unauthorized access to the vehicle. The operation instructions 209 may contain instructions for performing the logic circuits, models, and methods described herein.

[0070] Although Figure 2 the examples are shown using processor and memory circuitry, as described below with reference to the circuitry disclosed herein, the decision and control circuit 203 may be implemented using any form of circuitry (including, for example, hardware, software, or a combination thereof). By additional example, one or more processors, controllers, ASICs, PLAs, PALs, CPLDs, FPGAs, logic components, software programs, or other mechanisms may be implemented to constitute the monitoring and detection circuit 210. The components of the decision and control circuit 203 may be distributed between two or more decision and control circuits 203, executed on other circuits described with respect to the monitoring and detection circuit 210, executed on devices (such as radar, cellular phones) that are part of a cloud-based platform (e.g., infrastructure), executed on distributed elements of the vehicle safety network 240 (such as at multiple vehicles, devices, central servers), executed on an edge-based platform, and executed on combinations of the foregoing.

[0071] The communication circuit 201 may include either or both of a wireless transceiver circuit 202 having an associated antenna 214 and a wired I / O interface 204 having an associated hardwired data port (not shown). As this example shows, communication with the monitoring and detection circuit 210 may include either or both of the wired and wireless communication circuits 201. The wireless transceiver circuit 202 may include a transmitter and a receiver (not shown), such as a monitoring and detection broadcast mechanism, to allow wireless communication via any one of a variety of communication protocols (such as, for example, WiFi (e.g., IEEE 802.11 standard), Bluetooth, Near Field Communication (NFC), Zigbee, and any of a variety of other wireless communication protocols, whether standardized, proprietary, open, point-to-point, networked, or otherwise). The antenna 214 is coupled to the wireless transceiver circuit 202 and is used by the wireless transceiver circuit 202 to wirelessly transmit radio signals to and also receive radio signals from the wireless equipment connected thereto. These RF signals may include almost any kind of information sent by the monitoring and detection circuit 210 to / from other components of the vehicle, such as sensors 220, vehicle systems 230, infrastructure (e.g., server cloud-based systems), and other devices or elements of the vehicle safety network 240. These RF signals may include almost any kind of information sent or received by the vehicle.

[0072] The wired I / O interface 204 may include a transmitter and a receiver (not shown) for hardwired communication with other devices. For example, the wired I / O interface 204 may provide a hardwired interface to other components including sensors 220, vehicle systems 230, and the vehicle safety network 240. The wired I / O interface 204 may communicate with other devices using Ethernet or any one of a variety of other wired communication protocols, whether the other wired communication protocols are standardized, proprietary, open, point-to-point, networked, or otherwise.

[0073] The power supply 211 may include one or more batteries (such as, for example, lithium-ion, lithium polymer, NiMH, NiCd, NiZn, and NiH2, to name just a few, whether rechargeable batteries or primary cells), a power connector (e.g., to connect to vehicle-supplied power, another vehicle battery, an alternator, etc.), an energy harvester (e.g., solar cells, piezoelectric systems, etc.), or it may include any other suitable power supply. It should be understood that the power supply 211 may be coupled to the vehicle's power sources, such as batteries and alternators. The power supply 211 may be used to power the monitoring and detection circuit 210.

[0074] The sensor 220 may include one or more sensors, which may or may not otherwise be included on a standard vehicle (e.g., vehicle 400) implementing the monitoring and detection device 200. The sensor 220 may include radar sensors, cameras, image sensors, light detection and ranging (LiDAR) sensors, position sensors, audio sensors, infrared sensors, microwave sensors, optical sensors, tactile sensors, magnetometers, communication systems, and global positioning systems (GPS). The radar sensors among the sensor 220 may include, for example, pulsed radar, continuous wave radar, frequency modulated continuous wave (FMCW) radar (e.g., Infineon 60GHz BGT60TR13C radar), bistatic radar, Doppler radar, monopulse radar, passive radar, measurement radar, mapping radar, search radar, etc. Additional sensors may also be included, which may be suitable for a given implementation of the monitoring and detection device 200.

[0075] The vehicle system 230 may include any one of a plurality of different vehicle components or subsystems for controlling or monitoring various aspects of the vehicle and its performance. The vehicle system 230 includes, for example, a steering system, a throttle system, brakes, a transmission, an electronic control unit (ECU), a propulsion system, a vehicle hardware interface, and a vehicle safety system. The vehicle safety system of the vehicle system 230 may control components of the vehicle (such as sensors) to monitor and collect surveillance data of the vehicle.

[0076] The vehicle system 230 may be controlled by the AV control system in the autonomous, semi-autonomous, or manual mode of the vehicle. For example, in the autonomous or semi-autonomous mode, the AV control system may control the vehicle system 230 alone or in combination with other systems to operate the vehicle in a fully or semi-autonomous manner. When taking control, the computing system and the AV control system may provide a vehicle control system to the vehicle hardware interface for the controlled system (such as a steering angle, brakes, throttle, or other hardware interfaces (such as traction, turn signals, horn, lights, etc.)). This may also include an assist mode, in which the vehicle takes over partial control or activates ADAS controls (e.g., the AC control system) to assist the driver in vehicle operation. The vehicle system 230 may include GPS or other vehicle positioning systems.

[0077] During operation, the monitoring and detection circuit 210 can receive information from various sensors 220, vehicle systems 230, and vehicle safety network 240 to detect unauthorized access to the vehicle. Moreover, the driver, owner, and operator of the vehicle can manually trigger one or more of the processes described herein for detecting and verifying unauthorized access to the vehicle. The communication circuit 201 can be used to transmit and receive information between the monitoring and detection circuit 210, sensors 220, and vehicle systems 230. Moreover, the sensors 220 and the monitoring and detection circuit 210 can communicate directly or indirectly (e.g., via the communication circuit 201 or otherwise) with the vehicle systems 230. The communication circuit 201 can be used to transmit and receive information between the monitoring and detection circuit 210, one or more other systems of the vehicle, and other elements of the vehicle safety network 240, such as vehicles, persons, devices (e.g., mobile phones), systems, networks (such as communication networks and central servers), and infrastructure.

[0078] In various applications, the communication circuit 201 can be configured to receive data and other information from the sensors 220 and vehicle systems 230, the data and other information being used for monitoring and detecting unauthorized access to the vehicle. As an example, when data is received from an element of the vehicle safety network 240, such as from the user device of the vehicle owner, the communication circuit 201 can be used to send an activation signal and activation information to one or more vehicle systems 230 or sensors 220 to cause the monitoring and detection device 200 to detect unauthorized access to the vehicle. For example, it can be useful for the vehicle systems 230 or sensors 220 to provide data that can be used to monitor and detect an intrusion into the vehicle to determine whether unauthorized access to the vehicle is occurring. Alternatively, the monitoring and detection circuit 210 can continuously receive information from the vehicle systems 230, sensors 220, other vehicles, devices, and infrastructure (e.g., those that are elements of the vehicle safety network 240).

[0079] In some applications, when an intrusion is detected, the decision and control circuit 203 of the monitoring and detection device 200 can determine the type of the intrusion. Depending on the type of the intrusion, the decision and control circuit 203 can implement one or more operations. For example, when determining that the type of the intrusion is a threat, the decision and control circuit 203 can provide instructions to the sensor 220 to perform a scan of the vehicle to obtain data of all the persons and objects near the vehicle. The decision and control circuit 203 and other components (such as, for example, the vehicle system 230 and the vehicle security network 240) can analyze the scanned data to determine whether an unauthorized access to the vehicle is detected. When an unauthorized access to the vehicle is detected, the communication circuit 201 can send a signal to other components of the vehicle, infrastructure, user device, or other elements of the vehicle security network 240 based on the detection of the unauthorized access. For example, the communication circuit 201 can send a signal to the vehicle system 230, the signal indicating a control input for performing one or more security actions, such as, for example, issuing a warning, flashing the vehicle lights, playing a sound, sending an alert, and shining a projection. In another example, the communication circuit 201 can send a signal to a device (such as, for example, the user device of the vehicle owner) indicating that an unauthorized access to the vehicle is occurring. In another example, the communication circuit 201 can send a signal to the sensor 220 to perform one or more security actions, such as, for example, recording the unauthorized access, issuing a warning, flashing the vehicle lights, playing a sound, sending an alert, and shining a projection.

[0080] Figure 2 The example of is provided for illustrative purposes only as an example of the monitoring and detection device 200, with which the disclosed technology can be applied. Those of ordinary skill in the art reading this specification will understand how to implement the disclosed application with a vehicle platform.

[0081] Figure 3 An exemplary design of the monitoring and detection device 300 is shown. The monitoring and detection device 300 can be Figure 2 the monitoring and detection device 200. The monitoring and detection device 300 can be designed with a radome, which is constructed of a material that can allow the transmission of energy signals (such as, for example, radio waves). The radome can be a structural and weatherproof enclosure that protects the components of the monitoring and detection device 300, such as, for example, an antenna (such as, for example, antenna 214).

[0082] The radome of the monitoring and detection device 300 can be designed in a variety of different shapes, including, for example, conical, square, flat, etc. The shape of the radome can be determined according to one or more sensors used in the monitoring and detection device 300. The shape of the radome can be determined according to the degree of performance of a specific sensor allowed for the monitoring and detection device 300 for a specific radome shape. Radome designs 310 and 312 represent examples of conical radomes, where radome designs 310 and 312 each show different perspectives of the conical radome. Radome designs 320 and 322 represent examples of flat radomes, where radome designs 320 and 322 each show different perspectives of the flat radome.

[0083] The monitoring and detection device 300 can be designed with a variety of different materials, including, for example, polycarbonate. The material used for the monitoring and detection device 300 can be determined according to the type of sensor used with the monitoring and detection device 300. The material for the monitoring and detection device 300 can be determined based on the properties that the monitoring and detection device 300 may need to have to provide optimal results in vehicle surveillance and intrusion detection. The properties of the monitoring and detection device 300 that may contribute to providing optimal results in vehicle surveillance and intrusion detection can include, for example, material thickness, material durability, the intensity and ability of energy signal transmission (e.g., radar transmission), etc.

[0084] Figure 4 An exemplary illustration of the internal structure of a vehicle 400 that can include a monitoring and detection device 410 is shown. The monitoring and detection device 410 can be Figure 2 the monitoring and detection device 200 and Figure 3 the monitoring and detection device 300. The vehicle 400 can be, for example, an automobile, a truck, a motorcycle, a bicycle, a scooter, a moped, a recreational vehicle, and other similar on-road or off-road vehicles. The vehicle 400 can include multiple compartments, including, for example, an engine compartment 412, a passenger compartment 414, and a luggage compartment 416 (e.g., a truck bed). The passenger compartment 414 and the luggage compartment 416 can be separated by a vertical surface 420, which can include, for example, a rear window.

[0085] The monitoring and detection device 410 can be installed on any surface of the vehicle on the vehicle 400, including for example the vertical surface 420. The monitoring and detection device 410 can be installed on a surface of the vehicle that is either outside or inside the vehicle. For example, the monitoring and detection device 410 can be installed on the vertical surface 420 of the vehicle 400. The monitoring and detection device 410 can be installed on the side of the vertical surface 420 that is located in the passenger compartment 414, which side can be considered to be inside the vehicle 400. The monitoring and detection device 410 can be installed on the vertical surface 420 using components or materials (such as for example tape) that can allow the monitoring and detection device 410 to remain attached to the vertical surface 420. The monitoring and detection device 410 can be installed to the vertical surface 420 such that the sensors of the monitoring and detection device 410 face the luggage compartment 416 or the passenger compartment 414 of the vehicle 400. The monitoring and detection device 410 can be installed at any location on the vertical surface of the vehicle, such as for example, the center of the vertical surface 420 of the vehicle 400. Many variations are possible.

[0086] The monitoring and detection device 410 can also be interconnected to the vehicle 400 wirelessly or wired. The monitoring and detection device 410 can be interconnected to the vehicle 400 to connect to the power source of the vehicle 400, such as for example a battery and an alternator. The monitoring and detection device 410 can be interconnected to the vehicle 400 to communicate with one or more components of the vehicle 400, the one or more components such as for example sensors, vehicle systems (e.g., Figure 2 the vehicle system 230) and vehicle safety networks (e.g., Figure 2 the vehicle safety network 240). Many variations are possible.

[0087] Figure 5 An exemplary image 500 from the perspective of the monitoring and detection device is shown. When a monitoring and detection device (such as for example, Figure 4 the monitoring and detection device 410) is installed on a vertical surface of the vehicle 510 (such as for example, Figure 4 the vertical surface 420 of the vehicle 400), the image 500 can display the perspective from the device. The image 500 can display the passenger compartment 514 of the vehicle 510 from the perspective of the monitoring and detection device. The passenger compartment 514 of the vehicle 510 can be Figure 4The passenger compartment 414 of the vehicle 400. When performing surveillance and intrusion detection of the vehicle 510, the monitoring and detection device installed in the vehicle 510 can use one or more sensors to capture an image 500 of the vehicle 510. When an intrusion is detected, the monitoring and detection device can capture additional images of the passenger compartment 514 of the vehicle 510. The monitoring and detection device can monitor the passenger compartment 514 of the vehicle 510 to protect any property, people, and objects stored in the passenger compartment 514 of the vehicle 510. If the monitoring and detection device detects a threatening intrusion in the passenger compartment 514 of the vehicle 510, the monitoring and detection device can analyze the data of the passenger compartment 514 of the vehicle 510 to determine whether any property, people, and objects have been removed and added.

[0088] Figure 6A and Figure 6B Exemplary images 600 and 650 from the perspective of the monitoring and detection device 620 are shown. When the monitoring and detection device 620 is installed on the vertical surface 612 of the vehicle 610, Figure 6A and Figure 6B images 600 and 650 can respectively display the perspective from the device 620. The monitoring and detection device 620, the vertical surface 612, and the vehicle 610 can respectively be Figure 4 the monitoring and detection device 410, the vertical surface 420, and the vehicle 400. Figure 6A and Figure 6B Images 600 and 650 can respectively display the luggage compartment 616 of the vehicle 610 from the perspective of the monitoring and detection device 620. The luggage compartment 616 of the vehicle 610 can be Figure 4 the luggage compartment 416 of the vehicle 400. When performing surveillance and intrusion detection of the vehicle 610, the monitoring and detection device 620 installed on the vertical surface 612 of the vehicle 610 can use one or more sensors to capture images 600 and 650 of the vehicle 610. When an intrusion is detected, the monitoring and detection device 620 can capture additional images of the luggage compartment 616 of the vehicle 610. The monitoring and detection device 620 can monitor the luggage compartment 616 of the vehicle 610 to protect any property, people, and objects stored in the luggage compartment 616 of the vehicle 610. If the monitoring and detection device 620 detects a threatening intrusion in the luggage compartment 616 of the vehicle 610, the monitoring and detection device 620 can analyze the data of the luggage compartment 616 of the vehicle 610 to determine whether any property, people, and objects have been removed and added.

[0089] Figure 6BAn exemplary image 650 showing the perspective of the sensors of the display monitoring and detection device 620 relative to the luggage compartment 616 of the vehicle 610 is shown. The monitoring and detection device 620 may include a plurality of sensors. Each sensor of the monitoring and detection device 620 may be positioned to face a different direction from the monitoring and detection device 620. For example, the monitoring and detection device 620 may include at least a first sensor and a second sensor. The first sensor of the monitoring and detection device 620 may face 30 degrees to the left of the luggage compartment 616 relative to the center of the monitoring and detection device 620. The first sensor may have a field of view 630 of the luggage compartment 616 of the vehicle 610. The field of view 630 of the first sensor may be 120 degrees. The second sensor of the monitoring and detection device 620 may face 30 degrees to the right of the luggage compartment 616 relative to the center of the monitoring and detection device 620. The second sensor may have a field of view 640 of the luggage compartment 616 of the vehicle 610. The field of view 640 of the second sensor may be 120 degrees. The field of view 630 of the first sensor and the field of view 640 of the second sensor may have an overlap of 60 degrees with the luggage compartment 616 from the center of the monitoring and detection device 620. In this way, the combined field of view of the first sensor and the second sensor of the monitoring and detection device 620 may be 180 degrees, thus allowing the monitoring and detection device 620 to fully monitor and detect intrusions occurring at the luggage compartment 616 of the vehicle 610.

[0090] In another example, the monitoring and detection device 620 may further include two additional sensors, such as, for example, a third sensor and a fourth sensor, which may be used to monitor and detect intrusions occurring at the passenger compartment 614 of the vehicle 610. The third sensor of the monitoring and detection device 620 may face 30 degrees to the left of the passenger compartment 614 relative to the center of the monitoring and detection device 620. The third sensor may have a field of view of 120 degrees of the left side of the passenger compartment 614 of the vehicle 610. The fourth sensor of the monitoring and detection device 620 may face 30 degrees to the right of the passenger compartment 614 relative to the center of the monitoring and detection device 620. The fourth sensor may have a field of view of 120 degrees of the right side of the passenger compartment 614 of the vehicle 610. The field of view of the third sensor and the field of view of the fourth sensor may have an overlap of 60 degrees with the passenger compartment 614 from the center of the monitoring and detection device 620. In this way, the combined field of view of the third sensor and the fourth sensor of the monitoring and detection device 620 may be 180 degrees, thus allowing the monitoring and detection device 620 to fully monitor and detect intrusions occurring at the passenger compartment 614 of the vehicle 610. Many variations are possible.

[0091] The monitoring and detection device 620 can be installed at any position on a vertical surface of a vehicle, such as, for example, the center of the vertical surface 612 of the vehicle 610. Depending on the position and type of the vehicle surface to which the monitoring and detection device 620 is mounted and the position of the vehicle surface to which the monitoring and detection device 620 is mounted, one or more calibrations can be performed on the monitoring and detection device 620 to allow one or more sensors to adequately monitor and detect intrusions that may occur at all areas in and around the vehicle 610. One or more calibrations can also be performed on the monitoring and detection device 620 according to the specifications of the vehicle 610 to ensure that one or more sensors can adequately monitor and detect intrusions that may occur at all areas in and around the vehicle 610.

[0092] After the monitoring and detection device 620 is mounted to the vertical surface of the vehicle 610, one or more calibrations can be automatically performed by the monitoring and detection device 620. The monitoring and detection device 620 can determine one or more calibrations to be performed based on an analysis of the position of the monitoring and detection device 620 relative to the entire vehicle 610, which includes, for example, the passenger compartment 614 and the luggage compartment 616. The monitoring and detection device 620 can determine one or more calibrations to be performed based on an analysis of the specifications of the vehicle 610 by the monitoring and detection device 620, the specifications including, for example, the length, width, height, and overall dimensions of the passenger compartment 614, the luggage compartment 616, and the entire vehicle 610. The specifications of the vehicle 610 can be determined by the monitoring and detection device 620 by performing a scan of the entire vehicle. The specifications of the vehicle 610 can be determined by the monitoring and detection device 620 from a database of vehicle specifications. The specifications of the vehicle 610 can be determined by the monitoring and detection device 620 by retrieving input data of the vehicle from an application of the user device of the owner of the vehicle 610. Many variations are possible.

[0093] Figure 7 An exemplary computing component 700 is shown that includes one or more hardware processors 702 and a machine-readable storage medium 704 that stores a set of machine-readable / machine-executable instructions that, when executed, cause the hardware processor 702 to perform an illustrative method for monitoring and detecting unauthorized access to a vehicle. It should be understood that unless otherwise stated, additional, fewer, or alternative steps may be performed in a similar or alternative order or in parallel within the scope of the various examples discussed herein. The computing component 700 can be implemented as Figure 1 the computing component 110, Figure 2 the monitoring and detection circuit 210, and Figure 8 the computing component 800.

[0094] At step 706, the hardware processor 702 may execute machine-readable / machine-executable instructions stored in the machine-readable storage medium 704 to receive monitoring data of a vehicle. The vehicle can be used as a tool for storing and transporting objects, which can be living (e.g., animals, insects, plants, etc.) and inanimate objects (e.g., furniture, clothes, books, electrical appliances, etc.), and can also be used as a tool for transporting people. The vehicle can include, for example, cars, trucks, motorcycles, bicycles, scooters, mopeds, recreational vehicles, and other similar on-road or off-road vehicles. The vehicle can include, for example, autonomous, semi-autonomous, and manual operations. The vehicle can include one or more devices that can be used to monitor the vehicle and detect any intrusion into the vehicle. The devices can be implemented on the vertical-facing surfaces of the vehicle (including, for example, the surfaces of the vertical internal frame of the vehicle, the vertical external frame of the vehicle, the surface of the rear window, etc.). Many variations are possible.

[0095] The devices can include one or more sensors that can be used to collect data for monitoring the vehicle. The sensors can include, for example, radar sensors, cameras, image sensors, light detection and ranging (LiDAR) sensors, position sensors, audio sensors, infrared sensors, microwave sensors, optical sensors, tactile sensors, magnetometers, communication systems, and global positioning system (GPS). The radar sensors can include, for example, pulsed radar, continuous wave radar, frequency-modulated continuous wave (FMCW) radar (e.g., Infineon 60GHz BGT60TR13C radar), bistatic radar, Doppler radar, monopulse radar, passive radar, measurement radar, mapping radar, search radar, etc. The data can be received by at least one sensor of the devices. The data for monitoring the vehicle can include information about people, objects, and other vehicles near the vehicle (including inside and outside the vehicle). Many variations are possible.

[0096] At step 708, the hardware processor 702 may execute machine-readable / machine-executable instructions stored in the machine-readable storage medium 704 to detect an intrusion of an entity into the vehicle. The data of the monitoring of the vehicle may be analyzed by the device after being collected by at least one sensor of the device. Analyzing the data of the monitoring of the vehicle may detect one or more intrusions of one or more entities into the vehicle. An intrusion into the vehicle may include, for example, when an entity enters a specific vicinity of the vehicle. The specific vicinity of the vehicle may be within a distance threshold from the vehicle. The distance threshold may be preset. The distance threshold may vary according to the location of the vehicle, such as, for example, when the vehicle is stationary in a parking garage, by the roadside, in an open space, etc. The distance threshold may be updated according to algorithms and models using the safety data of the vehicle. Entities may include persons, objects, and other vehicles that have not been associated with the vehicle. An entity may be associated with the vehicle when the entity was included in the vehicle before the device monitored the vehicle. Many variations are possible.

[0097] At step 710, the hardware processor 702 may execute machine-readable / machine-executable instructions stored in the machine-readable storage medium 704 to transition the sensors out of a minimum power state when an intrusion into the vehicle is detected. When the device for monitoring the monitoring and detecting an intrusion into the vehicle is first started, the device may implement a minimum power state for one or more of its sensors. The sensors being in the minimum power state may allow the sensors to be active and operate for a longer duration. The sensors being in the minimum power state may also limit the capabilities and functions of the sensors to reduce the amount of power being consumed by the sensors, thus allowing the sensors to be active and operate for a longer duration.

[0098] The sensors may remain in the minimum power state until the sensors are awakened and transitioned out of the minimum power state. Detecting an intrusion of an entity into the vehicle may cause the device to transition one or more sensors of the device out of the minimum power state. When the sensors are out of the minimum power state, the sensors may fully function with all their capabilities and functions. The sensors may also consume more power and be active and operate for a shorter duration when out of the minimum power state. To save power and maintain an optimal usage duration of the sensors, when no intrusion is detected anymore and when it is determined that the intrusion is authorized, the device may transition the sensors back to the minimum power state.

[0099] At step 712, the hardware processor 702 may execute machine-readable / machine-executable instructions stored in the machine-readable storage medium 704 to perform a scan of the vehicle to obtain information indicating the type of intrusion. After the sensor has transitioned out of the minimum power state, the sensor may have full functionality and additional functionality that allows the sensor to perform a scan of the vehicle. The sensor may perform a scan of the vehicle as well as everything inside and outside the vehicle in the vicinity of the vehicle. The vicinity of the vehicle that the sensor's scan can cover may be preset. The vicinity of the vehicle may vary depending on the location of the vehicle, such as, for example, whether the vehicle is stationary in a parking garage, on the side of the road, in an open space, etc. The vicinity of the vehicle may be updated based on algorithms and models that use the vehicle's safety data. The vicinity of the vehicle may be the same as the distance threshold from the vehicle used to detect the occurrence of an intrusion into the vehicle. Performing a scan of the vehicle may allow the sensor to obtain information about an intrusion occurring on the vehicle, including, for example, information about one or more entities causing the intrusion, information about the actions being performed by the one or more entities, etc. Many variations are possible.

[0100] The information about the intrusion may be analyzed to determine the type of intrusion. The types of intrusion may include, for example, security intrusions and threat intrusions. A security intrusion may be an intrusion caused by an entity authorized to access the vehicle. A security intrusion may be an intrusion caused by an entity identified as harmless to the vehicle. A threat intrusion may be an intrusion caused by an entity identified as unauthorized to access the vehicle. A threat intrusion may be an intrusion caused by an entity identified as harmful to the vehicle. Many variations are possible.

[0101] At step 714, the hardware processor 702 may execute machine-readable / machine-executable instructions stored in the machine-readable storage medium 704 to determine that the type of intrusion into the vehicle is a threat intrusion. When the sensor of the device used to monitor and detect intrusions into the vehicle is performing a scan of the vehicle, the sensor may collect information about an intrusion occurring on the vehicle. The information about the intrusion may include, for example, information about one or more entities causing the intrusion, information about the actions being performed by the one or more entities, etc. The information about the intrusion may be analyzed to determine the type of intrusion, such as, for example, a security intrusion or a threat intrusion.

[0102] To determine that the type of intrusion is a threat intrusion, information about the intrusion obtained from the scan can be analyzed. The information about the intrusion can be analyzed to first identify one or more entities that caused the intrusion into the vehicle. In one example, each of the one or more entities can be identified as a person, an animal, an object, etc. The entity can be identified by analyzing the information about the intrusion to obtain the identity of the entity (such as, for example, facial recognition of the entity). After the entity is identified, it can be determined whether the entity is unauthorized to access the vehicle. Determining whether the entity is unauthorized to access the vehicle can include using ML algorithms, models, databases, servers, etc. to analyze the identification of the entity to determine that the identification of the entity does not match the identity of an authorized entity to access the vehicle. Such ML algorithms, models, databases, servers, etc. can include information about entities authorized to access the vehicle, such as, for example, facial recognition. In another example, the information about the intrusion can be analyzed to determine whether at least one of the one or more entities that caused the intrusion is a person. If it is determined that at least one of the one or more entities that caused the intrusion is a person, it can be determined that all of the one or more entities that caused the intrusion are unauthorized entities. Many variations are possible.

[0103] When it is determined that at least one entity is an unauthorized entity, the information about the intrusion can be further analyzed to determine whether the unauthorized entity is performing an unauthorized action on the vehicle. In one example, if it is determined based on the analysis of the identification of at least one entity that the entity is unauthorized, it can be determined whether the entity is performing an unauthorized action on the vehicle. Unauthorized actions can include, for example, entering the vehicle, climbing on the vehicle, damaging the vehicle, removing items from the vehicle, and putting items into the vehicle. When it is determined that the unauthorized entity is performing an unauthorized action on the vehicle, then the type of intrusion can be determined as a threat intrusion. If it is determined based on the analysis of the identification of the entity that the entity is authorized, the type of intrusion can be determined as a security intrusion. If it is determined that the entity is unauthorized, but it is determined that the unauthorized entity is not performing an unauthorized action on the vehicle, the type of intrusion can be determined as a security intrusion. Many variations are possible.

[0104] At step 716, the hardware processor 702 may execute machine-readable / machine-executable instructions stored in the machine-readable storage medium 704 to perform security actions to interfere with a threat intrusion. When it is determined that the type of the intrusion is a threat intrusion, one or more security actions may be performed. The security actions may include, for example, recording the intrusion, issuing a warning, flashing vehicle lights, playing a sound, sending an alert, and shining a projection. Recording the intrusion may include, for example, recording at least one of a video, taking a photo, recording audio, etc. The security actions may be performed by a device for monitoring surveillance and detecting an intrusion into the vehicle. The security actions may be performed by the vehicle associated with the device for monitoring the surveillance and detecting the intrusion into the vehicle. The security action of the alert may also be sent to another device (e.g., the user device of the vehicle owner) and a network / system (e.g., a police network, a home network, a work network, a vehicle security network, etc.) to notify of the threat intrusion. The alert may include, for example, a message, a record, a sound, a GPS location, an identification, etc. of information about the threat intrusion into the vehicle. Many variations are possible.

[0105] In this way, active surveillance can be performed on the vehicle to correctly monitor and detect the occurrence of any intrusion into the vehicle. By increasing the security and protection of the vehicle as well as any property, personnel, and objects left inside the vehicle, this may be beneficial to the vehicle owner. The active detection and response to unauthorized intrusion and access to the vehicle can also deter forced entry, theft, vandalism, and other improper acts that may be performed on the vehicle. The active detection and response to unauthorized intrusion and access to the vehicle may also increase the likelihood that a criminal will be arrested and punished for their crime.

[0106] As used herein, the terms circuit, system, and component may describe a given functional unit that may perform according to one or more applications of the present application. As used herein, a component may be implemented using any form of hardware, software, or a combination thereof. For example, one or more processors, controllers, ASICs, PLAs, PALs, CPLDs, FPGAs, logic components, software programs, or other mechanisms may be implemented to form a component. The various components described herein may be implemented as discrete components, or the described functions and features may be partially or fully shared among one or more components. In other words, as will be appreciated by one of ordinary skill in the art after reading this specification, the various features and functions described herein may be implemented in any given application. They may be implemented in various combinations and arrangements in one or more individual or shared components. Although various features or functional elements may be described or claimed separately as separate components, it should be understood that these features / functions may be shared among one or more common software and hardware elements. Such a description should not require or imply the use of separate hardware or software components to implement such features or functions.

[0107] In cases where components are implemented, in whole or in part, using software such as the user device applications described herein, these software elements can be implemented to operate with a computing or processing component capable of performing the functions described relative thereto. Figure 8 One such exemplary computing component is shown in Figure 8 . Various applications are described with respect to this exemplary computing component 800. After reading this description, those skilled in the relevant art will understand how to implement the present application using other computing components or architectures.

[0108] Now referring Figure 8 , the computing component 800 can represent, for example, the computing or processing capabilities found within a device (such as device 150), a vehicle (such as vehicle 400), a self-adjusting display, a desktop computer, a laptop computer, a notebook computer, and a tablet computer. They can be present in handheld computing devices (tablet computers, PDAs, smartphones, cellular phones, palmtop computers, etc.). They can be present in workstations or other devices having a display, a server, or any other type of special-purpose or general-purpose computing device, which may be desirable or appropriate for a given application or environment. The computing component 800 can also represent computing capabilities embedded within a given device or otherwise available for use by a given device. For example, the computing component may be present in other electronic devices, such as, for example, portable computing devices and other electronic devices that may include some form of processing capabilities. In another example, the computing component can be found in the components that make up device 150, device 200, vehicle 400, device 420, monitoring and detection circuit 210, decision and control circuit 203, computing system 100, device 620, etc.

[0109] The computing component 800 can include, for example, one or more processors, controllers, control components, or other processing devices. This can include a processor and any one or more of the components of device 150 that make up Figure 1 device 150, Figure 2 device 200, Figure 2 monitoring and detection circuit 210, Figure 4 device 420, and the components of device 620 of FIG. 6. The processor 804 can be implemented using a general-purpose or special-purpose processing engine (such as, for example, a microprocessor, a controller, or other control logic). The processor 804 can be specifically configured to execute one or more instructions for performing the logic of one or more circuits (such as monitoring and detection circuit 210 and decision and control circuit 303) described herein. The processor 804 can be configured to execute one or more instructions for performing one or more methods (such as the methods described in Figure 7 .

[0110] The processor 804 may be connected to the bus 802. However, any communication medium may be used to facilitate interaction with other components of the computing component 800 or communication with the outside. In an application, the processor 804 may extract, decode, and execute one or more instructions to control the processes and operations for implementing the monitoring and detection services as described herein. For example, the instructions may correspond to steps for performing one or more steps of the method described in Figure 7 The steps described in

[0111] The computing component 800 may also include one or more memory components, herein simply referred to as the main memory 808. For example, random access memory (RAM) or other dynamic memory may be used to store information and instructions to be extracted, decoded, and executed by the processor 804. Such instructions may include one or more instructions for performing one or more logic circuits described herein. The instructions may include Figure 2 Instruction 209, for example, as described herein. The main memory 808 may also be used to store temporary variables or other intermediate information during the execution of instructions to be extracted, decoded, and executed by the processor 804. The computing component 800 may also include a read-only memory (“ROM”) or other static storage device coupled to the bus 802 for storing static information and instructions for the processor 804.

[0112] The computing component 800 may also include one or more various forms of information storage mechanisms 810, which may include, for example, a media drive 812 and a storage unit interface 820. The media drive 812 may include a drive or other mechanism for supporting a fixed or removable storage medium 814. For example, a hard disk drive, a solid state drive, a tape drive, an optical disc drive, a compact disc (CD) or digital video disc (DVD) drive (R or RW), or other removable or fixed media drive may be provided. The storage medium 814 may include, for example, a hard disk, an integrated circuit assembly, a tape, a cartridge, an optical disc, a CD, or a DVD. The storage medium 814 may be any other fixed or removable medium that can be read, written, or accessed by the media drive 812. As shown in these examples, the storage medium 814 may include a computer-usable storage medium in which computer software or data is stored.

[0113] In alternative applications, the information storage mechanism 810 may include other similar tools for allowing a computer program or other instructions or data to be loaded into the computing component 800. Such tools may include, for example, fixed or removable storage units 822 and interfaces 820. Examples of such storage units 822 and interfaces 820 may include program cartridges and cartridge interfaces, removable memories (such as flash memories or other removable memory components), and memory slots. Other examples may include PCMCIA slots and cards, and other fixed or removable storage units 822 and interfaces 820 that allow software and data to be transferred from the storage unit 822 to the computing component 800.

[0114] The computing component 800 may also include a communication interface 824. The communication interface 824 may be used to allow software and data to be transferred between the computing component 800 and an external device. Examples of the communication interface 824 may include a modem or soft modem, a network interface (such as Ethernet, network interface card, IEEE 802.XX or other interfaces). Other examples include communication ports (such as, for example, USB ports, IR ports, RS232 ports interfaces or other ports) or other communication interfaces. The software / data transferred via the communication interface 824 may be carried on signals, which may be electrical signals, electromagnetic signals (which include optical signals) or other signals capable of being exchanged by a given communication interface 824. These signals may be provided to the communication interface 824 via a channel 828. The channel 828 may carry the signals and may be implemented using a wired or wireless communication medium. Some examples of channels may include telephone lines, cellular links, RF links, optical links, network interfaces, local area networks or wide area networks, and other wired or wireless communication channels.

[0115] In this document, the terms "computer program medium" and "computer usable medium" are generally used to refer to transient or non-transient media. Such media may be, for example, the memory 808, the storage unit 822, the medium 814, and the channel 828. These and various other forms of computer program media or computer readable media may be involved in carrying one or more sequences of one or more instructions to a processing device for execution. Such instructions embodied on the medium are generally referred to as "computer program code" or "computer program product" (which may be grouped in the form of a computer program or other groupings). When executed, such instructions may cause the computing component 800 to perform the features or functions of the present application as discussed herein.

[0116] As described herein, a vehicle may be a flying, partially submersible, submersible, automotive, boat, road, off-road, passenger vehicle, truck, tram, train, drone, motorcycle, bicycle, or other vehicle. As used herein, a vehicle may be any form of powered or unpowered conveyance. An intrusion into a vehicle may include the presence of at least one entity within a distance threshold of the vehicle. When at least one entity causing the intrusion does not match the identity of an authorized entity accessing the vehicle, the intrusion into the vehicle may be unauthorized and detected as a threat. An intrusion may be detected as a threat of an unauthorized entity performing an unauthorized action on the vehicle. The unauthorized action may include at least one of the following: entering the vehicle, climbing onto the vehicle, damaging the vehicle, removing an item from the vehicle, and placing an item into the vehicle.

[0117] As used throughout this specification, the terms "operably connected", "coupled", or "coupled to" may include direct or indirect connections, including connections without direct physical contact, electrical connections, optical connections, and the like.

[0118] As used herein, the terms "a" and "an" are defined as one or more than one. As used herein, the term "plurality" is defined as two or more than two. As used herein, the term "another" is defined as at least a second or more. As used herein, the terms "comprising" and "having" are defined as including (i.e., open language). As used herein, the phrase "at least one of... and..." refers to and encompasses any and all possible combinations of one or more of the associated listed items. By way of example, the phrase "at least one of A, B, or C" includes only A, only B, only C, or any combination thereof (e.g., AB, AC, BC, or ABC).

[0119] Aspects of the present disclosure may be embodied in other forms without departing from their spirit or essential characteristics. Accordingly, reference should be made to the appended claims rather than the foregoing specification to indicate the scope thereof. Although various applications of the disclosed technology have been described above, it should be understood that these applications are presented by way of example only and not by way of limitation. Similarly, the various figures may depict exemplary architectures or other configurations for the disclosed technology, and doing so is to assist in understanding the features and functions that may be included in the disclosed technology. The disclosed technology is not limited to the exemplary architectures or configurations shown, but rather various alternative architectures and configurations may be used to implement the desired features. Indeed, it will be apparent to those skilled in the art how alternative functional, logical, or physical partitioning and configurations may be implemented to achieve the desired features of the technology disclosed herein. Moreover, many different component module names may be applied to the various partitions in addition to those depicted herein. Additionally, with respect to flowcharts, operational descriptions, and method claims, unless the context dictates otherwise, the order in which steps are presented herein should not be required to implement various applications in the same order as shown for each step to perform the described functions.

[0120] Although the disclosed technology has been described above in terms of various exemplary applications and implementations, it should be understood that the various features, aspects, and functions described in one or more of the respective applications are not limited to their applicability to the particular applications in which they are described, but rather may alternatively be applied, individually or in various combinations, to one or more of the other applications of the disclosed technology, whether or not such applications are described and whether or not such features are presented as part of the applications described. Accordingly, the breadth and scope of the technology disclosed herein should not be limited by any of the above-described exemplary applications.

[0121] Unless otherwise expressly stated, the terms and phrases used in this document and their variants should be construed as open-ended rather than limiting. As examples of the foregoing: the term "including" should be considered to mean "including but not limited to" and the like; the term "example" is used to provide exemplary instances of the item under discussion, rather than an exhaustive or limiting list thereof; the term "a" or "an" should be considered to mean "at least one", "one or more" and the like; and adjectives such as "conventional", "traditional", "normal", "standard", "known" and terms with similar meanings should not be construed as limiting the item described to the items available at a given time period or given time, but rather should be considered to encompass conventional, traditional, normal or standard techniques that may be available or known now or at any time in the future. Similarly, where this document refers to techniques that would be apparent or known to one of ordinary skill in the art, such techniques encompass those that are or will be apparent or known to the skilled person at any time now or in the future.

[0122] In some cases, the presence of expansive words and phrases such as "one or more", "at least", "but not limited to", or other similar phrases should not be construed as meaning that a narrower case was intended or required in instances where such expansive phrases might not be present. The use of the term "module" does not mean that the components or functions described or claimed as part of the module are all configured in a common package. In fact, any or all of the various components of a module (whether control logic or other components) can be combined in a single package or maintained separately and can be further distributed in multiple groupings or packages or across multiple locations.

[0123] Additionally, various applications described herein are depicted according to exemplary block diagrams, flowcharts, and other illustrations. As will become apparent to those of ordinary skill in the art after reading this document, the described applications and their various alternatives can be implemented without being limited to the examples shown. For example, the block diagrams and their accompanying descriptions should not be construed as requiring a particular architecture or configuration.

[0124] According to the present invention, a method for monitoring and detecting unauthorized access to a vehicle includes: receiving surveillance data of the vehicle through a sensor; detecting an intrusion of an entity into the vehicle from the surveillance data; switching the sensor out of a minimum power state when the intrusion into the vehicle is detected; performing a scan of the vehicle using the sensor to obtain information indicating the type of the intrusion; determining that the type of the intrusion into the vehicle is a threat intrusion based on the scan; and performing a security action to disrupt the threat intrusion.

[0125] According to an embodiment, the sensor will be located on a device for monitoring and detecting unauthorized access to the vehicle.

[0126] According to an embodiment, the device will be located on a vertical surface of the vehicle.

[0127] According to an embodiment, the sensor includes at least one of a radar sensor, a camera, an image sensor, a light detection and ranging (LiDAR) sensor, a position sensor, an audio sensor, an infrared sensor, a microwave sensor, an optical sensor, a tactile sensor, a magnetometer, a communication system, and a global positioning system (GPS).

[0128] According to an embodiment, the detecting the intrusion of the entity into the vehicle includes determining that the entity is within a distance threshold from the vehicle based on the surveillance data.

[0129] According to an embodiment, the determining that the type of the intrusion is a threat intrusion includes: identifying the entity that caused the intrusion into the vehicle from the scan; determining that the entity is unauthorized based on entity identification; and determining that the entity is performing an unauthorized action on the vehicle.

[0130] According to an embodiment, determining that the entity is unauthorized includes: using a machine learning (ML) algorithm to analyze the entity identification; and determining that the entity identification does not match the identity of an authorized entity accessing the vehicle.

[0131] According to an embodiment, the unauthorized action includes at least one of the following: entering the vehicle, climbing on the vehicle, damaging the vehicle, removing an item from the vehicle, and placing an item in the vehicle.

[0132] According to an embodiment, the security action includes at least one of the following: recording the intrusion, issuing a warning, flashing the vehicle lights, playing a sound, sending an alert, and shining a projection.

[0133] According to the present invention, there is provided a device for monitoring and detecting unauthorized access to a vehicle, the device having: a sensor configured to: receive surveillance data of the vehicle; and perform a scan of the vehicle to obtain information indicating the type of intrusion; a processor configured to: detect an intrusion of the vehicle by an entity from the surveillance data; switch the sensor out of a minimum power state when an intrusion of the vehicle is detected; and determine that the type of the intrusion of the vehicle is a threat intrusion based on the scan; and a controller configured to: perform a security action to interfere with the threat intrusion.

[0134] According to an embodiment, the device will be located on a vertical surface of the vehicle.

[0135] According to an embodiment, the sensor includes at least one of a radar sensor, a camera, an image sensor, a light detection and ranging (LiDAR) sensor, a position sensor, an audio sensor, an infrared sensor, a microwave sensor, an optical sensor, a tactile sensor, a magnetometer, a communication system, and a global positioning system (GPS).

[0136] According to an embodiment, determining that the type of the intrusion is a threat intrusion includes: identifying the entity that causes the intrusion of the vehicle from the scan; determining that the entity is unauthorized based on the entity identification; and determining that the entity is performing an unauthorized action on the vehicle.

[0137] According to an embodiment, determining that the entity is unauthorized includes: using a machine learning (ML) algorithm to analyze the entity identification; and determining that the entity identification does not match the identity of an authorized entity accessing the vehicle.

[0138] According to an embodiment, the unauthorized actions include at least one of the following: entering the vehicle, climbing on the vehicle, damaging the vehicle, removing an item from the vehicle, and placing an item in the vehicle.

[0139] According to an embodiment, the security actions include at least one of the following: recording the intrusion, issuing a warning, flashing vehicle lights, playing a sound, sending an alert, and shining a projection.

[0140] According to the present invention, there is provided a system for monitoring and detecting unauthorized access to a vehicle, the system having: one or more processors; and a memory coupled to the one or more processors for storing instructions which, when executed by the one or more processors, cause the one or more processors to perform operations, the operations including: receiving surveillance data of the vehicle through a sensor; detecting an intrusion of an entity into the vehicle from the surveillance data; switching the sensor to a minimum power state when the intrusion into the vehicle is detected; performing a scan of the vehicle using the sensor to obtain information indicating the type of the intrusion; determining that the type of the intrusion into the vehicle is a threat intrusion based on the scan; and performing a security action to interfere with the threat intrusion.

[0141] According to an embodiment, determining that the type of the intrusion is a threat intrusion includes: identifying the entity that caused the intrusion into the vehicle from the scan; determining that the entity is not authorized based on the entity identification; and determining that the entity is performing an unauthorized action on the vehicle.

[0142] According to an embodiment, determining that the entity is not authorized includes: using a machine learning (ML) algorithm to analyze the entity identification; and determining that the entity identification does not match the identity of an authorized entity to access the vehicle.

[0143] According to an embodiment, the unauthorized actions include at least one of the following: entering the vehicle, climbing on the vehicle, damaging the vehicle, removing an item from the vehicle, and placing an item in the vehicle.

Claims

1. A method for monitoring and detecting unauthorized access to a vehicle, the method comprising: receiving monitoring data of the vehicle via a sensor; detecting intrusion of the vehicle by an entity from the surveillance data; transitioning the sensor out of a minimum power state upon detecting the intrusion into the vehicle; performing a scan of the vehicle using the sensor to obtain information indicative of a type of intrusion; determining, based on the scanning, that the type of the intrusion into the vehicle is a threat intrusion; as well as Security actions are performed to disrupt the threat intrusion.

2. The method of claim 1, wherein the sensor is to be located on a device for monitoring and detecting unauthorized access to the vehicle.

3. The method of claim 2, wherein the device is to be located on a vertical surface of the vehicle.

4. The method of claim 1, wherein the sensor comprises at least one of a radar sensor, a camera, an image sensor, a light detection and ranging (LiDAR) sensor, a position sensor, an audio sensor, an infrared sensor, a microwave sensor, an optical sensor, a tactile sensor, a magnetometer, a communication system, and a global positioning system (GPS). 5 . The method of claim 1 , wherein said detecting said intrusion of said vehicle by said entity comprises determining, based on said surveillance data, that said entity is within a distance threshold from said vehicle.

6. The method of claim 1, wherein determining that the type of the intrusion is a threat intrusion comprises: identifying from the scan the entity that caused the intrusion into the vehicle; determining, based on entity identification, that the entity is not authorized; as well as It is determined that the entity is performing an unauthorized action on the vehicle.

7. The method of claim 6, wherein said determining that said entity is not authorized comprises: Analyzing the entity recognition using a machine learning (ML) algorithm; as well as It is determined that the entity identification does not match the identity of an authorized entity accessing the vehicle.

8. The method of claim 6, wherein the unauthorized action comprises at least one of: entering the vehicle, climbing onto the vehicle, damaging the vehicle, removing items from the vehicle, and placing items into the vehicle, and / or the security action comprises at least one of: recording the intrusion, issuing a warning, flashing lights, playing a sound, sending an alarm, and flashing a projection.

9. A device for monitoring and detecting unauthorized access to a vehicle, the device comprising: A sensor, the sensor being configured to: receiving monitoring data of the vehicle; as well as performing a scan of the vehicle to obtain information indicative of a type of intrusion; A processor, the processor being configured to: detecting said intrusion of said vehicle by an entity from said surveillance data; transitioning the sensor out of a minimum power state upon detecting the intrusion into the vehicle; as well as determining, based on the scanning, that the type of the intrusion into the vehicle is a threat intrusion; and A controller, the controller being configured to: Security actions are performed to disrupt the threat intrusion.

10. The apparatus of claim 9, wherein the apparatus is to be located on a vertical surface of the vehicle.

11. The device of claim 9, wherein the sensor comprises at least one of a radar sensor, a camera, an image sensor, a light detection and ranging (LiDAR) sensor, a position sensor, an audio sensor, an infrared sensor, a microwave sensor, an optical sensor, a tactile sensor, a magnetometer, a communication system, and a global positioning system (GPS).

12. The apparatus of any one of claims 9 to 11, wherein the determining that the type of the intrusion is a threat intrusion comprises: identifying from the scan the entity that caused the intrusion into the vehicle; determining, based on entity identification, that the entity is not authorized; as well as It is determined that the entity is performing an unauthorized action on the vehicle.

13. The apparatus of claim 12, wherein determining that the entity is not authorized comprises: Analyzing the entity recognition using a machine learning (ML) algorithm; as well as It is determined that the entity identification does not match the identity of an authorized entity accessing the vehicle.

14. The apparatus of claim 12, wherein the unauthorized action comprises at least one of: entering the vehicle, climbing onto the vehicle, damaging the vehicle, removing items from the vehicle, and placing items into the vehicle, and / or the security action comprises at least one of: recording the intrusion, issuing a warning, flashing lights, playing a sound, sending an alarm, and flashing a projection.

15. A system for monitoring and detecting unauthorized access to a vehicle, the system comprising one or more processors and a memory coupled to the one or more processors for storing instructions, the instructions, when executed by the one or more processors, causing the one or more processors to perform operations including executing the method of any one of claims 1 to 8.

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