Method for vehicle early warning and corresponding system

Abstract

The invention provides a method and a system for vehicle early warning. The method comprises the following steps: acquiring an image around a vehicle, and detecting a marker feature from the acquired image; and analyzing the marker features to judge whether the vehicle is driven into the risk area or not, and sending safety reminding information to the vehicle or vehicle personnel when judging that the vehicle is driven into the risk area. According to the scheme of the invention, the method can achieve the detection and analysis of the features of the markers in the images around the vehicle, can judge that the vehicle is driven into a risk region, such as an energy supplement station, and can timely send the safety prompt information to the vehicle or a person of the vehicle, so as to avoid potential risk accidents. Therefore, the safety of the vehicle personnel or the environment is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of vehicle early warning, and more particularly, to a method and system for vehicle early warning, a vehicle comprising the same, a corresponding computer device and a computer readable storage medium. BACKGROUND

[0002] When a vehicle enters a risk area, such as an energy supplement station, it is necessary to pay more attention to the safe driving of the vehicle or the safety of the environment in which the vehicle is located, so as to avoid potential risk failures or accidents such as energy supplement leakage, fire or explosion in the risk area caused by improper operation of the vehicle or the vehicle personnel. In addition, when the environment in which the vehicle is located contains explosive, flammable or toxic gases, it is necessary to remind the vehicle or the vehicle personnel to avoid dangerous conditions such as fire, explosion or poisoning caused by improper operation of the vehicle or the vehicle personnel.

[0003] Therefore, a corresponding solution for vehicle early warning is needed. SUMMARY

[0004] To at least solve the above technical problems, the present application provides a method and system for vehicle early warning, a vehicle comprising the same, a corresponding computer device and a computer readable storage medium.

[0005] According to a first aspect of the present application, a method for vehicle early warning is provided, the method comprising: acquiring an image around a vehicle, detecting a marker feature from the acquired image; analyzing the marker feature to determine whether the vehicle has entered a risk area; and when it is determined that the vehicle has entered the risk area, issuing a safety reminder information to the vehicle or the vehicle personnel.

[0006] In an embodiment, the method further comprises acquiring other environmental information around the vehicle, the other environmental information comprising a target gas concentration, a sound size, a temperature or a humidity around the vehicle.

[0007] In an embodiment, the method further comprises: comparing the other environmental information with a corresponding threshold value, and if the other environmental information is greater than the corresponding threshold value, enabling a first acquisition module to acquire the image around the vehicle, so that the detection of the marker feature from the acquired image is performed next.

[0008] In an embodiment, wherein the marker feature comprises a size of a marker representing a risk in the image, the method further comprises: when the detected marker feature gradually increases in proportion in the acquired image but has not yet exceeded a set threshold value, indicating that the vehicle is driving close to the risk area; and when the detected marker feature exceeds the set threshold value in proportion in the acquired image, indicating that the vehicle has entered the risk area.

[0009] In one embodiment, the risk area comprises an energy replenishment station, a chemical storage area, or a high-voltage electricity area, and the marker feature comprises an energy replenishment station marker feature, a chemical marker feature, or a high-voltage electricity marker feature.

[0010] In one embodiment, the safety reminder information comprises reminding the vehicle or the vehicle personnel to avoid the generation of fire source and static electricity, not to use mobile phone, close the window, and / or turn off the engine if necessary.

[0011] According to a second aspect of the present application, there is provided a system for vehicle early warning, comprising: a first acquisition module configured to acquire an image of surroundings of a vehicle; a detection module configured to detect a marker feature from the acquired image; a first judgment module configured to analyze the marker feature to determine whether the vehicle has entered a risk area; and a control module configured to issue safety reminder information to the vehicle or the vehicle personnel when the vehicle has entered the risk area.

[0012] In one embodiment, the system further comprises a second acquisition module configured to acquire other environmental information of the surroundings of the vehicle, the other environmental information comprising target gas concentration, sound size, temperature, or humidity of the surroundings of the vehicle.

[0013] In one embodiment, the system further comprises a second judgment module configured to: compare the other environmental information with a corresponding threshold value, and if the other environmental information is greater than the corresponding threshold value, enable the first acquisition module to acquire the image of the surroundings of the vehicle, so that the detection module subsequently performs the detection of the marker feature from the acquired image.

[0014] In one embodiment, the marker feature comprises a size of a marker representing a risk in the image, and the first judgment module is further configured to: when the size of the detected marker feature gradually increases in proportion in the acquired image but has not yet exceeded a set threshold value, indicate that the vehicle is driving close to the risk area; and when the size of the detected marker feature exceeds the set threshold value in proportion in the acquired image, indicate that the vehicle has entered the risk area.

[0015] According to a third aspect of the present application, there is provided a vehicle comprising the system for vehicle early warning as described above.

[0016] According to a fourth aspect of the present application, there is provided a computer device comprising a memory and a processor, said memory having stored thereon computer instructions that, when executed by the processor, cause the method for vehicle early warning according to any of the above embodiments to be performed.

[0017] According to a fifth aspect of the present application, there is provided a non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, causes the method for vehicle early warning according to the above to be performed.

[0018] The solution of the present application determines whether a vehicle enters a risk area by analyzing at least the features of the markers detected from the images acquired around the vehicle. When the vehicle enters the risk area, a safety reminder information is sent to the vehicle or the personnel of the vehicle. Moreover, the present application can also acquire other environmental information around the vehicle, such as gas concentration, sound size, temperature or humidity, by means of other sensors, to assist or make a risk prediction in advance. Advantageously, when the vehicle enters a risk area (e.g. an energy supplement station, such as a gas station or a charging station), a safety reminder information can be sent to the vehicle or the personnel of the vehicle in time, so that the vehicle or the user of the vehicle can pay attention to the relevant potential risks and take necessary actions to avoid potential risk failures or accidents, thereby improving the safety of the vehicle personnel or the environment in which they are located. BRIEF DESCRIPTION OF DRAWINGS

[0019] Non-limiting and non-exhaustive embodiments of the present application are described with reference to the following drawings, in which:

[0020] Figure 1A a schematic flow chart of a method for vehicle early warning according to an embodiment of the present application is illustrated;

[0021] Figure 1B a schematic flow chart of a method for vehicle early warning according to another embodiment of the present application is illustrated;

[0022] Figure 2 a schematic flow chart of a method for vehicle early warning according to an embodiment of the present application is illustrated;

[0023] Figure 3A a schematic block diagram of a system for vehicle early warning according to an embodiment of the present application is illustrated; and

[0024] Figure 3B a schematic block diagram of a system for vehicle early warning according to another embodiment of the present application is illustrated.

[0025] Those skilled in the art will appreciate that the elements in the figures are illustrated for simplicity and clarity and that the actual implementation can be provided with additional or different elements, as is readily apparent to one of ordinary skill in the art. Further, the depiction of commonly used or well-understood elements in conjunction with an example, as implicated by the description below, can be provided, but is not necessarily expressly depicted in order to facilitate a less obstructed view of these various embodiments of the present application. DETAILED DESCRIPTION

[0026] In the following description, numerous specific details are set forth to provide a thorough understanding of the present application. However, it will be apparent to one of ordinary skill in the art that the present application can be practiced without the specific details. In other instances, well-known methods have not been described in detail in order not to obscure the present application.

[0027] Reference throughout this specification to "one embodiment", "an embodiment", "another embodiment", "a further embodiment", "one example", "an example" and "another example" means that a particular feature, structure, or characteristic described in connection with the embodiment or example is included in at least one embodiment of the present application and the appearances of the phrase in various places in the specification are not necessarily referring to the same embodiment or example. Furthermore, the particular features, structures, or characteristics can be combined in any suitable

[0028] Figure 1A A schematic flow chart of a method 100 for vehicle warning according to an embodiment of the present application is illustrated; and Figure 1B A schematic flow chart of a method 100' for vehicle warning according to another embodiment of the present application is illustrated.

[0029] Reference Figure 1A As shown, the method 100 comprises a step S102, a step S104, a step S106 and a step S107.

[0030] In step S102, an image around the vehicle is acquired. For example, the image around the vehicle can be acquired via a first acquisition module (e.g. an image sensor such as a camera installed inside or outside the vehicle), which can comprise images within the camera's shooting range in front of, behind, or on the left and right sides of the vehicle.

[0031] In step S104, a marker feature is detected from the acquired image. The marker feature can comprise at least information of size, pattern, shape or color of a marker representing a risk area.

[0032] In some embodiments, the risk area can comprise a refueling station (e.g. a gas station, a charging station or a gas station), a chemical storage area (e.g. a chemical warehouse), a high-voltage electric area or other areas that can cause danger.

[0033] For example, when the risk area is an energy replenishment station (e.g. a gas station), the marker features can include the following: the sign of a gas station usually includes a large fuel pump icon or a graphic sign of a vehicle refueling; the trademark of an oil company and the corresponding prominent color are also common; in addition, there are also obvious text signs such as "gas station".

[0034] For example, when the risk area is a gas station, the marker features can include the following: the sign of a gas station usually includes a large fuel pump icon or a graphic sign of a vehicle refueling; the trademark of an oil company and the corresponding prominent color are also common; in addition, there are also obvious text signs such as "gas station".

[0035] For example, when the risk area is a gas station, the marker features can include the following: the sign of a gas station usually includes a large fuel pump icon or a graphic sign of a vehicle refueling; the trademark of an oil company and the corresponding prominent color are also common; in addition, there are also obvious text signs such as "gas station".

[0036] For example, when the risk area is a gas station, the marker features can include the following: the sign of a gas station usually includes a large fuel pump icon or a graphic sign of a vehicle refueling; the trademark of an oil company and the corresponding prominent color are also common; in addition, there are also obvious text signs such as "gas station".

[0037] It is conceivable that in other areas that can cause danger to occur, other corresponding marker features can be added to extend the recognition and analysis of marker features to other risk areas.

[0038] In step S106, the marker features are analyzed to determine whether the vehicle has entered the risk area. Specifically, for example, image recognition analysis can be performed on the marker features, and if the marker features are identified as belonging to the identification corresponding to the specified risk area, it is considered that the vehicle has entered the risk area. In one embodiment, entering the risk area can be defined only as the vehicle having entered the risk area; in another embodiment, entering the risk area can also be defined as the vehicle approaching the risk area. For example, when the actual risk area has a clear physical boundary, the vehicle within the boundary can be understood as the vehicle having entered the risk area, and the vehicle approaching the boundary can be understood as the vehicle approaching the risk area. For example, for some risk areas, such as an area with an energy transport vehicle in front, the area where the energy transport vehicle exists can have no strict boundary, and at this time, entering the risk area can be understood as approaching or having entered the risk area. It should be understood that entering the risk area can be regarded as a potential dangerous situation that can occur at this time.

[0039] In step S107, when the vehicle enters the risk area, a safety reminder information is sent to the vehicle or the personnel of the vehicle. In an embodiment, the safety reminder information can be provided via vision, hearing, or other means such as touch.

[0040] In an embodiment, the method 100 can further include obtaining other environmental information around the vehicle, the other environmental information including gas concentration, sound size, temperature, or humidity around the vehicle. For example, the gas concentration, sound size, temperature, or humidity around the vehicle can be obtained via a gas sensor (such as an odor sensor), a sound sensor, a temperature sensor, or a humidity sensor, respectively.

[0041] Reference is made to Figure 1B As shown, in an embodiment, the method 100' further includes Figure 1A In addition to the steps S102, S104, S106, and S107 shown in the method 100', the method 100' can further include a step S108. In step S108, the other environmental information is compared with a corresponding threshold value, and if the other environmental information is greater than the corresponding threshold value, the first acquisition module is enabled to obtain the image around the vehicle, so that the detection of the marker feature from the obtained image is performed next. In other words, in an embodiment, as a prerequisite for enabling the first acquisition module to obtain the image around the vehicle, the method as described in detail in steps S102, S104, S106, and S107 above can only be performed when any one or more of the target gas concentration, sound size, temperature, or humidity around the vehicle is greater than the corresponding threshold value. For example, when any one or more of the target gas concentration, sound size, temperature, or humidity around the vehicle is greater than the corresponding threshold value, the vehicle can be directly controlled to enable the first acquisition module installed thereon to obtain the image around the vehicle or to enable the first acquisition module to obtain the image around the vehicle while sending a corresponding reminder information to the personnel of the vehicle.

[0042] In an embodiment, the method 100, the method 100', or step S106 can further include: when the size of the detected marker gradually increases in the proportion in the real-time obtained image but has not yet exceeded a set threshold value, it indicates that the vehicle is driving close to the risk area; and when the size of the detected marker exceeds the set threshold value in the proportion in the real-time obtained image, it indicates that the vehicle has entered the risk area. The set threshold value can refer to the proportion of the size of the marker to the obtained image, and according to the actual size of the marker corresponding to a specific risk area, the set threshold value can be flexibly set for different markers.

[0043] In one embodiment, for the above setting threshold of the proportion of the size of the marker in the image, the following three key factors can be considered to select a suitable setting threshold: 1. Actual size of the marker feature: knowing the physical size of the marker feature can help to set a reasonable threshold relative to the perspective of the first acquisition module (e.g. camera); 2. Resolution and perspective of the first acquisition module (e.g. camera): different first acquisition modules (e.g. cameras) can have different resolutions and perspective widths, which can affect the representation of the size of the marker in the acquired image; and 3. Type and size of the vehicle: different sizes and types of vehicles can stop at different distances, so a threshold range can be set to accommodate different types of vehicles. Based on the above three factors, the threshold range can be set, for example, between 90% and 150%, where 90% means that the marker is entirely contained in the image space boundary and the size of the marker (i.e. the overall area of the marker) occupies 90% of the area of the image acquired by the first acquisition module (e.g. camera), and 150% means that a part of the marker (such as a key part of the marker, e.g. the center part) has completely covered the area of the image acquired by the first acquisition module and the size of the marker (i.e. the overall area of the marker, including the part not reflected in the image) is 150% of the area of the image acquired by the first acquisition module (e.g. camera). In one embodiment, based on the above three factors, the setting threshold can be set to, for example, 100%, 120% or 125%, etc.

[0044] As described above, in one embodiment, the risk area can be an energy replenishment station such as a gas station or a charging station, and the marker feature can be an energy replenishment station marker feature such as an identification of a gas station or a charging station. In another embodiment, the safety reminder information can at least include reminding the vehicle or the vehicle personnel to avoid the generation of fire sources and static electricity, not to use mobile phones (especially at gas stations), to close the windows and / or to turn off the engine if necessary (e.g. to turn off the fuel engine before refueling or to turn off the electric motor before charging).

[0045] Specifically, because the energy replenishment station is a place with potential risks, there are some potential dangers and problems when the driver drives the vehicle to the energy replenishment station and needs to know the relevant precautions, for example:

[0046] - About fire sources and static electricity: the energy replenishment station is a flammable and explosive environment, so stay away from any fire sources, including lit cigarettes, open flames, lighters, etc.; static electricity can also cause fires, so make sure to leave the vehicle and touch metal parts to dissipate static electricity when refueling;

[0047] - Regarding the use of mobile phones: the electromagnetic radiation of mobile phones can cause fires, so it is recommended not to use them, nor to answer calls or send messages, in the vicinity of the refueling station, especially gas stations;

[0048] - Regarding the engine off: before refueling, make sure that the vehicle's fuel engine is turned off to avoid gasoline splashes or accidental start of the car; or before charging, make sure that the vehicle's electric motor is turned off to avoid electric shock or accidental start of the car.

[0049] Figure 2 A schematic flowchart of the method 200 for vehicle warning according to an embodiment of the present application is illustrated. The method 200 comprises steps S201-S221. In this embodiment, the risk area is a gas station, and the landmark features are gas station landmark features.

[0050] With reference to Figure 2 In the embodiment of the present application, the method of vehicle warning based on gas sensors and cameras when the vehicle is driving close to or has entered a gas station will be described in detail. For example, based on the detection of gas sensors and cameras, the vehicle personnel (such as the driver) are reminded to pay attention to the above-mentioned dangers and problems after detecting that the vehicle has entered the gas station, preferably during the preparation for refueling or during the refueling process, to make safety warning reminders. However, the timing of the safety reminders is not limited to the preparation for refueling or during the refueling process, but can be as described above for the timing of the safety reminders (which will not be described again in this embodiment).

[0051] For the above-mentioned dangers and problems, the method 200 performs an innovative vehicle warning and identification method, which can be used to accurately detect and confirm the time when the vehicle enters the gas station. By skillfully combining the technology of the gas sensor and the camera (for example, a high-precision visual camera) outside the vehicle, the safety and identification efficiency are improved.

[0052] Firstly, the method 200 detects the concentration of gasoline in the surrounding environment through the gas sensors installed outside the vehicle. Once the sensors detect that the concentration of gasoline exceeds the preset safety threshold, the camera will be activated immediately to start observing the environment around the vehicle carefully.

[0053] Then, the camera will pay special attention to the landmarks specific to gas stations, such as fuel dispensers. When the camera identifies these gas station landmark features, it can accurately determine that the vehicle has approached or entered the gas station area. In addition, when the size of these landmarks gradually increases in the image captured by the camera but does not exceed the preset threshold, it can further determine that the vehicle is driving towards the inside of the gas station.

[0054] Most importantly, when the size of the gas station marker in the image exceeds another set threshold, it is determined that the vehicle has safely entered the gas station and is ready to start refueling. At this time, the method 200 automatically reports this detection result to the vehicle central control system or the vehicle warning system. Then, the vehicle warning system issues a safety reminder information for warning to remind the vehicle or the vehicle personnel (such as the driver) to pay attention to the relevant safety issues and potential dangers, such as avoiding the generation of fire sources and static electricity, not using mobile phones, and turning off the engine, and the like.

[0055] In general, in this embodiment, the gas sensor and the camera are used to detect and determine whether to enter the gas station scene according to the size of the gas station marker in the image, which can greatly improve the safety standard of the gas station and ensure the safety of the driver and the passengers.

[0056] Specifically, in step S201, environmental odor data collection can be performed. Specifically, a plurality of gas sensors are installed at key positions of the vehicle (such as the front bumper, the side) and are specially used to detect and analyze the gas composition in the environment, especially gasoline vapor. These sensors have high sensitivity and fast response time to accurately capture the changes in the environment.

[0057] In step S203, odor data preprocessing can be performed. Specifically, the collected gas data is first subjected to noise removal processing to eliminate the influence of environmental factors (such as temperature, humidity) on the sensor readings. Then, the data is standardized to ensure its comparability under different environments and conditions.

[0058] In step S205, specific calculation of odor data can be performed. Specifically, advanced chemical analysis algorithms, such as gas chromatography, are used to accurately calculate the proportions of various components in the gas sample. In particular, the concentration of gasoline vapor is accurately measured to facilitate subsequent analysis and judgment.

[0059] In step S207, gasoline odor concentration threshold judgment can be performed. Specifically, a safety threshold is set, and when the concentration of gasoline vapor detected by the gas sensor exceeds this threshold, it is considered that there is a potential danger in the environment, and step S209 is entered. This threshold should be set based on safety standards and experimental data. Conversely, if the concentration of gasoline vapor detected by the gas sensor does not exceed this threshold, it returns to step S205.

[0060] In step S209, image data collection can be performed using a camera. Specifically, after determining that the concentration of gasoline vapor exceeds the threshold, the cameras of the vehicle, especially the cameras in front and on the sides of the vehicle, are activated immediately. These cameras should be able to capture high-definition video or still images to facilitate subsequent image analysis.

[0061] In step S211, image data preprocessing can be performed. Specifically, the image data captured by the camera is preprocessed, including adjusting contrast and brightness, removing noise and blur, etc., to improve image quality. Ensure that the processed image is clear and easy to identify the objects in the image.

[0062] In step S213, target detection algorithm application can be performed. Specifically, efficient target detection algorithms, such as convolutional neural networks (CNN) based on deep learning, are used to identify and classify various objects in the image. In particular, the signs specific to the gas station (such as fuel dispensers, company logos) are accurately identified.

[0063] In step S215, gas station sign feature detection can be performed. Specifically, when the signs of the gas station are detected through image analysis, the algorithm will determine that the vehicle has approached or entered the range of the gas station. At this time, this event is recorded, and according to the type and position of the signs, the specific position of the vehicle is further analyzed, and proceeds to step S217. Conversely, if no signs of the gas station are detected, return to step S213.

[0064] In step S217, size change analysis of the signs can be performed. Specifically, the size change of the gas station signs in the image is continuously monitored. If these signs gradually increase in size in consecutive image frames but do not exceed a predetermined threshold, it is determined that the vehicle is driving towards the interior of the gas station.

[0065] In step S219, vehicle fueling preparation determination can be performed. Specifically, when the vehicle stops moving and the camera displays the size of the gas station signs exceeding the predetermined threshold, it is determined that the vehicle has stopped in the gas station and is preparing to fuel. At this time, the stopping state and time of the vehicle are recorded to prepare for the fueling process, and proceed to step S221. Conversely, if the vehicle does not stop moving or the camera displays the size of the gas station signs does not exceed the predetermined threshold, return to step S217.

[0066] In step S221, result reporting and safety warning can be performed. Specifically, after completing all the above steps, the detection results are reported to the central control system of the vehicle or the vehicle warning system. At the same time, safety warnings are issued to the vehicle or vehicle personnel (such as the driver) to remind them to be aware of potential dangers and take appropriate measures, such as turning off the engine, avoiding using mobile phones, paying attention to static electricity and fire sources, etc., to ensure safety during the fueling process.

[0067] Figure 3A A schematic block diagram of a system 30 for vehicle warning according to an embodiment of the present application is illustrated; and Figure 3B A schematic block diagram of a system 30' for vehicle warning according to another embodiment of the present application is illustrated.

[0068] Reference is made to Figure 3A As shown, the system 30 can comprise at least a first acquisition module 302, a detection module 304, a first judgment module 306 and a control module 307. The first acquisition module 302 can comprise at least one image sensor.

[0069] In one embodiment, the first acquisition module 302 is configured to acquire images of the surroundings of the vehicle. The detection module 304 is configured to detect a marker feature from the acquired images. The first judgment module 306 is configured to analyze the marker feature to determine whether the vehicle has entered a risk area. The control module 307 is further configured to issue a safety alert to the vehicle or a person of the vehicle when it is determined that the vehicle has entered the risk area.

[0070] In one embodiment, the system 30 can further comprise a second acquisition module (not shown). The second acquisition module is further configured to acquire other environmental information of the surroundings of the vehicle, which can include a target gas concentration, a sound size, a temperature or a humidity of the surroundings of the vehicle. The second acquisition module can comprise at least a gas sensor (such as an odor sensor), a sound sensor, a temperature sensor or a humidity sensor.

[0071] Reference is made to Figure 3B As shown, in one embodiment, the system 30’ can comprise, in addition to the first acquisition module 302, the detection module 304, the first judgment module 306 and the control module 307 as shown in Figure 3A the second judgment module 308. The second judgment module 308 is configured to compare the other environmental information with a corresponding threshold value, and if the other environmental information is greater than the corresponding threshold value, the first acquisition module 302 is enabled to acquire the images of the surroundings of the vehicle so that the detection module can subsequently perform the detection of the marker feature from the acquired images.

[0072] In one embodiment, the first judgment module 306 can be further configured to indicate that the vehicle is approaching the risk area when the size of the detected marker feature gradually increases in the acquired images but has not yet exceeded a set threshold value, and to indicate that the vehicle has entered the risk area when the size of the detected marker feature exceeds the set threshold value in the acquired images.

[0073] The system for vehicle pre-warning herein can be similarly extended using the method for vehicle pre-warning of any of the above embodiments or examples, which are not repeated here.

[0074] Advantageously, the vehicle pre-warning method based on the first acquisition module (e.g. camera) and the second acquisition module (e.g. environmental sensor such as gas sensor arranged outside the vehicle) has the following advantages:

[0075] - Improved safety: By timely detecting excessive concentration of, for example, gasoline vapors or accidental fires or electrical leaks in the environment, it is possible to warn before the vehicle enters a risky environment (such as a gas station or charging station), reducing the risk of accidents due to oil leaks or other dangerous conditions;

[0076] - Accuracy and reliability: The method combining the first acquisition module and the second acquisition module improves the accuracy and reliability of identification, which is crucial to ensure the safety and smooth operation of energy refueling stations;

[0077] - Preventive measures and warnings: When potential dangers are detected, the driver and passengers can be immediately reminded to take safety measures, such as shutting down the engine, not using mobile phones, etc., if necessary, to prevent possible accidents.

[0078] In addition, the above-mentioned vehicle pre-warning method can be applied to a variety of existing or future products, such as:

[0079] - Intelligent car safety system: The technology involved in this method can be integrated into the safety system of intelligent cars, which can automatically remind the driver to pay attention to safety when approaching a gas station or charging station. This is particularly useful for autonomous vehicles and can be part of their safety protocols.

[0080] - Emergency response system: The technology involved in this method can be combined with fire and emergency response systems to improve the speed and efficiency of response to potential fires or chemical leaks at gas stations or charging stations.

[0081] In summary, this vehicle pre-warning method based on the first acquisition module and the second acquisition module has broad application potential and can improve the safety of risk areas, environmental sustainability and vehicle traffic efficiency in various fields.

[0082] Another aspect of the present application provides a vehicle comprising the system for vehicle pre-warning according to the above. The vehicle can be an internal combustion engine vehicle with an internal combustion engine as a driving source, an electric vehicle with an electric motor as a driving source or a fuel cell vehicle, a hybrid vehicle with both of the above as a driving source.

[0083] Another aspect of the present application provides a computer device comprising a memory and a processor, the memory having computer instructions stored thereon, the computer instructions, when executed by the processor, causing a method for vehicle warning as described above to be performed. The computer device can be broadly a server, a vehicle terminal, or any other electronic device with necessary computing and / or processing capability. In one embodiment, the computer device can comprise a processor, a memory, a network interface, a communication interface, etc. connected by a system bus. The processor of the computer device can be configured to provide necessary computing, processing and / or control capability. The memory of the computer device can comprise a non-volatile storage medium and an internal memory. The non-volatile storage medium can have an operating system, a computer program, etc. stored therein or thereon. The internal memory can provide an environment for running of the operating system and the computer program in the non-volatile storage medium. The network interface and the communication interface of the computer device can be configured to connect and communicate with external devices through a network. The computer program, when executed by the processor, can implement the steps of any of the methods for vehicle warning as described above.

[0084] Another aspect of the present application also provides a computer readable storage medium having a computer program stored thereon, the computer program, when executed by a processor, implementing the method for vehicle warning as described in any of the embodiments or examples above.

[0085] It is understood by those of ordinary skill in the art that all or part of the steps of the method for vehicle warning as described above can be instructed by a computer program to be executed by relevant hardware such as a computer device or a processor, the computer program being stored in a non-transitory computer readable storage medium, the computer program, when executed, causing the steps of the method for vehicle warning as described above to be performed. Depending on the circumstances, any reference herein to a memory, storage, database or other medium can include non-volatile and / or volatile memory. Examples of non-volatile memory include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, magnetic tapes, floppy disks, magneto-optical data storage devices, optical data storage devices, hard disks, solid-state disks, etc. Examples of volatile memory include random access memory (RAM), external cache memory, etc.

[0086] The above description of illustrated embodiments of the application, including what is described in the abstract, is not intended to be exhaustive or to be limited to the precise forms disclosed. While specific embodiments of, and examples for, the application are described herein for illustrative purposes, various equivalent modifications are possible within the scope of the application, as those skilled in the relevant art will recognize.

Claims

1. A method for vehicle early warning, characterized in that, The method includes: Acquire images of the area surrounding the vehicle; Detect marker features from the acquired images; The characteristics of the markers are analyzed to determine whether the vehicle has entered the risk area; and When it is determined that a vehicle has entered a risk area, a safety warning message is sent to the vehicle or its occupants.

2. The method according to claim 1, characterized in that, The method further includes acquiring other environmental information around the vehicle, including target gas concentration, sound level, temperature, or humidity around the vehicle.

3. The method according to claim 2, characterized in that, The method further includes: The other environmental information is compared with the corresponding thresholds. If the other environmental information is greater than the corresponding threshold, the first acquisition module is activated to acquire the image around the vehicle, so that the detection of landmark features from the acquired image is then performed.

4. The method according to claim 1, characterized in that, The marker features include at least the size of the markers representing the risk region in the image, and the method further includes: When the size of the detected marker gradually increases in proportion to the acquired image but does not exceed a set threshold, it indicates that the vehicle is approaching the risk area; and When the size of the detected marker accounts for a proportion of the acquired image that exceeds the set threshold, it indicates that the vehicle has entered the risk area.

5. The method according to any one of claims 1-4, characterized in that, The risk area includes an energy replenishment station, a chemical storage area, or a high-voltage area, and the marker features include energy replenishment station marker features, chemical marker features, or high-voltage area marker features.

6. The method according to claim 5, characterized in that, The safety reminders include advising the vehicle or its occupants to avoid sources of fire and static electricity, not to use mobile phones, to close windows, and / or to turn off the engine if necessary.

7. A system for vehicle warning, characterized in that, The system includes: A first acquisition module, configured to acquire images of the area surrounding the vehicle; A detection module, configured to detect marker features from the acquired image; A first judgment module, configured to analyze the features of the marker to determine whether the vehicle has entered the risk area; and The control module is configured to issue a safety warning message to the vehicle or its occupants when it is determined that the vehicle has entered a risk area.

8. The system according to claim 7, characterized in that, The system further includes a second acquisition module, which is configured to acquire other environmental information around the vehicle, including target gas concentration, sound level, temperature or humidity around the vehicle.

9. The system according to claim 8, characterized in that, The system further includes a second determination module, which is configured to: The other environmental information is compared with the corresponding thresholds. If the other environmental information is greater than the corresponding threshold, the first acquisition module is activated to acquire the image around the vehicle, so that the detection module then performs the detection of landmark features from the acquired image.

10. The system according to claim 7, characterized in that, The marker features include at least the size of the markers representing risk in the image, and the first determination module is further configured to: When the size of the detected marker gradually increases in proportion to the acquired image but has not yet exceeded a set threshold, it indicates that the vehicle is approaching the risk area. as well as When the size of the detected marker accounts for a proportion of the acquired image that exceeds the set threshold, it indicates that the vehicle has entered the risk area.

11. The system according to any one of claims 7-10, characterized in that, The risk area includes an energy replenishment station, a chemical storage area, or a high-voltage area, and the marker features include energy replenishment station marker features, chemical marker features, or high-voltage area marker features.

12. The system according to claim 10, characterized in that, The safety reminders include advising the vehicle or its occupants to avoid sources of fire and static electricity, not to use mobile phones, to close windows, and / or to turn off the engine if necessary.

13. A vehicle comprising a vehicle warning system according to any one of claims 7-12.

14. A computer device comprising a memory and a processor, wherein the memory stores computer instructions, characterized in that, When executed by the processor, the computer instructions cause the method for vehicle warning according to any one of claims 1-6 to be performed.

15. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program causes the method for vehicle warning according to any one of claims 1-6 to be performed.

Images