94 results about "Automobile Accident" patented technology

Techniques described herein relate to training and executing machine learning models configured to determine injury probabilities based on vehicle accident data. In some cases, a decision tree model may be constructed including various branching criteria based on particular vehicle accident data and injury ground truth data, including leaf nodes storing corresponding injury probabilities. A model execution component may execute the trained models to determine the probability of potential injuries associated with vehicle accidents. Based on the potential injury probabilities, a vehicle accident analysis system may identify target computer systems and / or target processes to be initiated on the target systems, based on the injury probabilities. In some example, the model execution architecture may be implemented using an event-driven system and / or cloud-based data storage and services to receive, store, and process data events associated with individual vehicle accidents.

The invention discloses an intelligent parking navigation system based on image recognition and the Internet of Things, and relates to the technical field of intelligent parking navigation, the system draws a three-dimensional electronic map of a parking lot, divides the parking lot into monitoring areas, deploys sensors and cameras to collect image data, and transmits the image data to a cloud through the Internet of Things. The intelligent regulation and control model module uses a convolutional neural network CNN to carry out parking space recommendation and path guidance. And the vehicle monitoring module monitors vehicles entering the parking lot in real time, calculates a geometric environment adaptation coefficient and evaluates a traffic risk. And the vehicle guiding analysis module calculates the traffic flow and the parking space idle index, and recommends a proper parking area for the vehicle. The parking space recommendation analysis module evaluates the comfort level of the parking space, ensures the safety of backing and parking, and avoids the risk of traffic jam or traffic accident through strategy adjustment. The system improves the parking efficiency and safety, and optimizes the parking experience.

The present disclosure relates to a method and apparatus for split liability assessment of a car accident video using deep learning. The method for split liability assessment of a car accident video using deep learning according to an embodiment of the present disclosure may include: (a) obtaining car accident video data; and (b) outputting accidental split liability information by applying the obtained car accident video data to an accidental split liability determination model.

Methods and systems described herein are directed to automatedly generating and issuing accident data gathering recommendations for a vehicle accident occurrence. In response to a recommendation system detecting an occurrence of a vehicle accident, the system can retrieve initial accident data for the occurrence. Using the initial accident data, the system can generate accident data gathering recommendations to obtain additional accident data via mapping to one or more characteristics for the vehicle accident occurrence. The recommendations, when executed, can yield additional accident data that can be compiled with the initial accident data into a vehicle accident evidence package.

A fog lamp induction warning control system comprises a data acquisition module, the data acquisition module comprises a vibration sensor, an acoustic sensor and a light sensor, and the vibration sensor is used for capturing vibration waveforms generated during vehicle collision and acquiring vibration data in real time; the signal processing module is used for processing signals of the data acquisition module, and the data processing module performs fusion by using weighted average; setting a threshold value to judge whether the fused features belong to abnormal conditions or not; the threshold value is determined through statistical analysis or experiment of historical data, and the output result exceeding the threshold value is output; the warning module comprises a fog lamp and a sound alarm arranged on the edge of the fog lamp; the invention aims to solve the problem that a secondary collision accident is easily caused because a traffic accident warning cannot be sent to a driver behind in time after a vehicle is collided.

Some implementations of the technology relate to anonymizing personally identifiable information (PII) by creating a quick response (QR) code linked to a website that can verify that driver's license information and insurance information of a driver is available and valid, without showing the PII itself. Some implementations can allow another driver in an automobile accident to scan the QR code, enter her own insurance information, and can push the driver's PII to her insurance company. Some implementations can allow the other driver to download an encrypted file with the PII that can be shared with his insurance company. The QR code can be used in other contexts outside of automobile accidents as well, such as when a driver wishes to test drive a car, rent a car, buy a new car, etc., and needs to provide proof of a valid driver's license and insurance coverage.

According to the traffic accident detection method, device and system, the terminal equipment and the vehicle-mounted equipment, the vehicle-mounted equipment and the terminal equipment which are located in the same vehicle perform dual detection on whether the driving is abnormal or not through the vehicle-mounted equipment and the terminal equipment, the detection results of the vehicle-mounted equipment and the terminal equipment on the driving abnormity are fully considered, and the traffic accident detection efficiency is improved. According to the technical scheme, the vehicle state detection of the vehicle-mounted equipment and the traffic accident detection and emergency rescue calling capability of the terminal equipment can be combined, the accuracy of traffic accident detection is improved, and false alarms for special situations such as skiing and roller coasters can be avoided.

The invention relates to an automatic driving generalization test scene construction method based on an accident report. According to the technology, an accident scene is preliminarily abstracted into three layers according to layer-based scene definition: a road network and traffic guide object, an environmental condition and a dynamic object. And then, information related to accident influence factors is extracted from the accident report systematically by using LLM, and the information is organized layer by layer. Then, constraints are established for the pre-accident driving behavior of the traffic participant, and a constraint solver is used to generate a trajectory conforming to the specified constraints in the accident report. And then, inputting a track generated by the extracted environment and road information into the driving simulator, and reconstructing a traffic accident scene. And finally, in an evaluation stage, the generated simulation scene is converted into test cases containing a test oracle, and the test cases are subjected to an automatic driving simulation test. The objective of the invention is to solve the problem of reappearing accident scenes on different roads so as to help an automatic driving system employee to carry out testing work in accident scenes of different road structures.

The invention discloses an auxiliary driving automobile accident risk cause chain mining method. The method comprises the following steps: 1) acquiring multi-source time sequence data including vehicle running state data, environment perception data and road condition data; 2) data preprocessing; 3) according to the obtained multi-source time sequence data, calculating a fusion risk index value of the vehicle at the t moment; 4) by taking the high-risk time sequence evolution time section as an analysis window, analyzing accident risk process influence factor variables based on correlation analysis and causality analysis to obtain a core dependent variable set; and 5) based on the identified core cause variable set, carrying out risk cause chain analysis in combination with a target risk event. According to the method, the risk field model fusing the vehicle kinetic energy field and the surrounding potential energy field elements is constructed, so that a high-risk evolution section before a potential collision event occurs can be identified more accurately, and the method has higher real-time response capability and environmental adaptability.

This disclosure relates to a central control physical button, a central control screen, and a vehicle, belonging to the field of automotive intelligent cockpit technology. The central control physical button includes a mounting base, an electronic control board, and at least one physical button. The electronic control board is mounted on the mounting base and has at least one trigger and a controller. The trigger and controller are signal-connected, and the controller is signal-connected to the central control screen. The physical buttons are mounted on the mounting base and correspond one-to-one with the triggers. When a physical button is pressed, the trigger transmits the triggered signal to the controller. The controller sends a control command corresponding to the physical button to the central control screen to execute the corresponding function of the physical button. The corresponding function of the physical button can be modified by a function customization command received by the central control screen. This disclosure allows for simple and quick use of corresponding functions by pressing the physical button, avoiding the risk of car accidents due to user distraction.

The invention provides a driving early warning method and device under a traffic accident condition, electronic equipment and a storage medium, and the method comprises the steps: obtaining the driving information of a current vehicle, and the driving information and the collision point location of the traffic accident vehicle under the condition that a traffic accident occurs on a driving route of the current vehicle, and obtaining a driving early warning result based on the driving information and the collision point location of the traffic accident vehicle; determining lost object information of the lost object in the traffic accident, and determining the driving influence of the lost object in the traffic accident on the current vehicle based on the driving information and the lost object information of the current vehicle; based on the driving influence, driving early warning is carried out on the current vehicle, the defect that large driving potential safety hazards exist due to the fact that effective safe driving measures are lacked in the current traffic accident scene is overcome, lost object estimation and driving influence evaluation are achieved through the driving information of the current vehicle and the driving information and the collision point position of the traffic accident vehicle, and the driving safety of the current vehicle is improved. Therefore, driving risks in a traffic accident scene can be avoided, and driving safety is protected.

The utility model discloses a traffic tool safety warning device, and relates to the field of automobile accident safety warning. The vehicle safety warning device comprises a triggering unit which can trigger a smoke warning unit to release smoke to the air; the smoke warning unit can be triggered by the triggering unit to release smoke for warning to the air, the smoke warning unit comprises a tank body, a smoke outlet guide pipe and a valve, the tank body is used for storing the warning smoke, the smoke outlet guide pipe is a warning smoke spraying channel, and the valve is used for controlling spraying of the warning smoke; the fixing unit is connected with the vehicle, the smoke warning unit and the triggering unit are fixed to the vehicle, and the fixing mode of the fixing unit is nut fixing and magnetic strip fixing; the vehicle safety warning device solves the problem that when a vehicle is difficult to move to a safe position after a fault or an accident occurs, a vehicle coming behind cannot be warned.

The invention relates to the technical field of digital twin platform video acquisition, in particular to a tunnel digital twin platform video acquisition device and method, and the device comprises a support frame, and also comprises two first cameras; the storage shell is fixedly installed at the bottom end of the supporting frame, two movable bearing tables are arranged at the bottom end of the interior of the storage shell in a sliding mode, and positioning claws are arranged at the tops of the two movable bearing tables; an aircraft; and a second camera. When the first camera or the second camera monitors a traffic accident in the tunnel or an abnormal structure in the tunnel, the aircraft carries the second camera to move to an abnormal event occurrence place to perform short-distance monitoring and video acquisition, and the aircraft and the second camera are located in the tunnel and can get close to each other in time, so that the safety of the tunnel is improved. A worker does not need to control an aircraft with a camera shooting assembly to fly remotely, and in-place monitoring can be conducted in time.

The invention relates to the technical field of expressway safety warning, in particular to a segmented flashing warning lamp system triggered at any point and a dynamic indexing method.The system comprises a central monitoring layer, a core control layer, an area control layer and a field equipment layer, and a PLC of the core control layer numbers warning lamps in sequence; after any trigger point i is triggered, the index 300 adjacent warning lamps are turned on, and the specific index number can also be set according to site requirements. The flash is divided into three sections according to the number and is divided into six times per second, four times per second and two times per second, indexes are updated for new trigger points in the same range, warning sections are newly added for new trigger points in different ranges, and resetting can be carried out after faults are removed; according to the segmented flicker warning lamp system triggered at any point and the dynamic indexing method, the first-time warning of an accident can be achieved, a driver can judge the distance from the accident point through the flicker frequency and rapidly brake, major serial traffic accidents are effectively restrained, casualties and economic losses are reduced, and the segmented flicker warning lamp system is suitable for multiple accident scenes and high in reliability.

The present invention belongs to the technical field of highway maintenance, and specifically relates to a highway maintenance monitoring device, including a water storage mechanism, a buffer mechanism, an impact mechanism, a water storage mechanism, a monitoring mechanism and a spraying mechanism, the impact mechanism includes an airbag, a water tank is provided with a fixing plate for fixing the airbag, the airbag is fixedly connected to the fixing plate, the side of the water tank is provided with a flexible material, a spiral rod is fixedly provided inside the shower head, the spiral rod is coaxially arranged with the spray pipe, and the shower head is rotatably connected with the spray pipe; the monitoring mechanism includes a spring, an alarm system and a push switch for alarm, a groove is provided on the inner wall of the spray pipe, a filter is provided at the connection between the groove and the spray pipe, the push switch for alarm is fixedly connected to the groove, one end of the spring is fixedly connected to the filter, and the other end cooperates with the push switch for alarm, and the push switch for alarm is electrically connected to the alarm system. This solution solves the problem of warning the rear vehicle of a car accident in front of the rear vehicle after the car hits the guardrail.

The invention discloses a traffic accident severity detection method based on wavelet frequency division enhancement and multistage feedback, a traffic accident severity detection model based on YOLOv11 is constructed, and a C3k2-DAWTConv module is designed to replace a C3k2 module in an original model structure, so that the sensitivity of the model to detail features is effectively improved while the parameter quantity and the calculation quantity are reduced, and the detection accuracy of the traffic accident severity is improved. According to the method, significant lightweight and performance balance are realized, the multi-scale receptive field attention convolution MSRFAConv is designed in the Neck network, and network parameters are improved while calculation cost and parameters are almost not increased. An original SPPF module is replaced with the FocalModulation technology, the method is suitable for processing small objects which are difficult to detect or objects in a complex background, through experimental verification, the detection precision of the method is superior to that of an original conventional target detection model, network parameters and the calculated amount are reduced, and the robustness of the model is improved. The method detects the severity of the traffic accident with low threshold and high precision, and has wide application potential.

The invention relates to the technical field of road traffic accident data processing, and discloses a construction method of an automobile accident case database. Accident case data are identified and extracted from an NAIS database, the accident case data are processed to obtain more complete accident case data tables, and then the accident case data tables are combined to form the accident case database, so that the centrality and integrity of automobile accident data are improved; meanwhile, by introducing a 3D multi-layer frame diagram including road sign information and obstacle information into the database, the types of accident case data are enriched, the requirements of more users can be met, the availability of automobile accident data is enhanced, and the practicability of the automobile accident data is improved. Therefore, a solid foundation is laid for subsequently establishing a high-quality test traffic accident scene library of the Chinese road automatic driving automobile.

The invention discloses a traffic intersection vehicle speed management method in an Internet of Vehicles mode, belongs to the technical field of vehicle management, and particularly relates to a vehicle speed management method in an Internet of Vehicles mode, which can be applied to a networked vehicle management system and is mainly used for carrying out dynamic speed monitoring management on vehicles at a traffic intersection. The vehicle speed management method comprises the following steps: collecting driving data of a driving vehicle, and networking a background control center and a terminal vehicle; wherein the acquired driving data of the driving vehicles mainly comprises the driving vehicle number and the vehicle distance within a certain mileage of a road, calculating the allowable maximum speed per hour in the time period according to a set algorithm based on the driving data, transmitting the allowable maximum speed per hour to the background control center, controlling the traffic velometer to test the terminal vehicle, and feeding back the tested terminal vehicle to the background control center. Overspeed vehicles are screened out through the background control center, and overspeed early warning is sent to terminal vehicles in advance to prompt the vehicles to decelerate in advance and pass through the traffic intersection at a low speed; by judging the vehicle to be overspeed in advance and sending the overspeed early warning, the probability of traffic accidents at the traffic intersection can be reduced, the safety awareness of a vehicle owner is improved, the traffic safety is promoted, and the management of a traffic department on networked vehicles is facilitated.

The invention discloses a lightweight expressway traffic accident scene recognition model construction method, a lightweight expressway traffic accident scene recognition model and an expressway traffic accident scene recognition method, and the method comprises the steps: obtaining a training set, generating an improved YOLOv8 model, training the improved YOLOv8 model through the training set, and obtaining an expressway traffic accident scene recognition model; a trained improved YOLOv8 model is used as the light-weight expressway traffic accident scene recognition model, the light-weight expressway traffic accident scene recognition model can be used for recognizing a traffic accident target in an expressway traffic accident scene, and real-time expressway traffic scene pictures are input into the light-weight expressway traffic accident scene recognition model. And obtaining a traffic accident target identification result in the traffic accident scene through the lightweight highway traffic accident scene identification model. The embodiment of the invention has the advantages of high detection precision and low requirement on computing resources, and can be well applied to expressway traffic accident detection.

This utility model relates to the field of lithium battery technology, and provides a battery housing including a support base and side beams. The side beams are disposed around the edge of the support base to form an accommodating space for installing battery cell modules within the support base. Both the support base and the side beams have internal cooling channels for coolant flow, and the support base and / or the side beams are provided with inlets and outlets, both of which communicate with the cooling channels to form a circulating flow path for coolant. This utility model, by integrating cooling channels into both the side beams and the support base, reduces thermal management costs and effectively prevents thermal runaway. Furthermore, the circulation of coolant in this circulating flow path significantly improves the safety protection level of the battery pack, enhances the overall vehicle safety factor, and greatly reduces the probability of spontaneous combustion of the battery pack due to external force damage in the event of a car accident, thus protecting the personal safety of passengers.

To solve a problem of reducing gazing while driving and decreasing the number of automobile accidents.SOLUTION: A system to reduce the number of automobile accidents includes means for reducing gazing while driving by incorporating a generative AI into the car navigation system, means for providing instructions through natural communication, and means for monitoring the condition of the car and the surrounding environment.SELECTED DRAWING: Figure 1

To provide an automobile accident prevention lamp having a function of calling attention, urging early warning, and preventing a traffic accident.SOLUTION: When a driver of an automobile comes to be in stupor due to a poor body condition, especially an intense mental shock to lose concentration, and the driving ability is impaired, a risk of allowing the driver to be more careless compared with a normal state has to be hedged by allowing an automobile and pedestrian in the periphery to be more careful compared with a normal state. Therefore, attention is to be called by a lamp and sound by kind consideration of the driver, early warning is urged to the periphery, so as to prevent a traffic accident by concentrating on avoidance of a collision and contact.SELECTED DRAWING: None

The invention relates to the field of traffic indication equipment, in particular to a vehicle-mounted traffic sign which comprises a panel, an adjusting assembly and a frame body capable of being installed on an automobile, the panel is rotationally connected to the frame body, a plurality of first installation holes are formed in the panel face at intervals, and two sets of second installation holes for installation of indicator lamps are formed in the panel face at intervals; the two sets of second mounting holes are located in the two ends of the rotating axis of the panel in a one-to-one correspondence mode, the second mounting holes and the first mounting holes in the same set are arranged to form arrows, the arrows formed by the two sets of second mounting holes are opposite in direction, and the adjusting assembly is connected to the panel and can shield the second mounting holes. According to the vehicle-mounted traffic sign, the panel, the adjusting assembly and the frame body are arranged, so that the vehicle-mounted traffic sign can change symbols formed by arranging the indicating lamps according to different road conditions, it is guaranteed that vehicles running on a road are guided, the probability of road traffic congestion or traffic accidents is reduced, and therefore the universality of the vehicle-mounted traffic sign is improved.

The invention relates to the technical field of automobile safety belts, in particular to a high-comfort automobile seat safety belt assembly. Comprising a locking shell, the locking shell is fixed to one side of an automobile seat through a seat fixing base rod, and a safety belt insertion tongue is arranged at the upper end of the locking shell in an inserted mode and used for being connected with a safety belt; the locking shell comprises a saddle fixing base rod, two end face shells, a plug shell and two side shells, the two end face shells are symmetrically arranged, and the front ends of the two end face shells are connected by inserting the plug shell; the safety belt locking device has the beneficial effects that the common defects that when a severe car accident occurs and a safety belt is locked and deformed, the safety belt cannot be opened, a safety belt system loses efficacy, meanwhile, a person is tightened, extra potential safety hazards are easily caused under unforeseen circumstances, and the safety belt locking device is worthy of popularization and application. And casualties caused by untimely escape of people are avoided.

The application provides a low-speed false acceleration power inhibition control method, system, medium and equipment, and belongs to the transmission technical field of electric vehicles. The method comprises the following steps: S100, judging whether the vehicle meets the precondition of entering the false acceleration prevention function, if yes, entering the false acceleration prevention function, and entering step S200; if not, not entering the false acceleration prevention function; S200, judging whether the false acceleration working condition occurs by detecting the change of the accelerator, if yes, inhibiting the output power to avoid abnormal acceleration of the vehicle; if not, not inhibiting the output power. The above method can realize the identification of the false acceleration scene without the distance sensor information such as radar and camera, and can effectively identify the false acceleration scene even when the sensor signal fails or the vehicle does not have the related sensor, so that the vehicle accident caused by the false acceleration condition can be avoided.

This invention discloses a remote emergency rescue command and dispatch system based on multi-network convergence, including a traffic accident scene perception module, a multi-network converged communication module, an intelligent information processing module, and a remote command and dispatch module. The traffic accident scene perception module is used to capture video, vehicle speed, and location information of the monitored scene in real time and identify whether a traffic accident has occurred at the monitored scene. The multi-network converged communication module is used to integrate communication networks to ensure the real-time and stable transmission of monitoring scene information to the remote emergency rescue command and dispatch system. The communication network includes mobile communication networks, satellite communication networks, and wired networks. The intelligent information processing module is used to quickly analyze, process, and identify the received information and extract key rescue information. The remote command and dispatch module is used to dispatch and command rescue resources based on the information provided by the traffic accident scene perception module and the intelligent information processing module. This invention has the characteristics of strong practicality and high rescue efficiency.

The invention relates to a self-power-generation type headlamp system with function safety and a control method thereof, belongs to an automobile intelligent lighting application technology, and relates to automobile lamp power generation, automobile lamp energy storage and function safety. The system comprises a vehicle lamp power supply module, a lamp circuit, an SBC module, an MCU module, a logic circuit module, a control circuit module, a voltage reduction module, a power supply storage module and a wind power charging module. In the running process of the vehicle, the vehicle lamp can be turned on through autonomous power generation of wind power, and meanwhile part of electric energy can be stored. The function safety strategy is realized under the condition that the original whole vehicle power supply end and the lamp end supply power normally, and meanwhile, the electric power stored by the power generated by the vehicle lamp is used, so that the lamp can be lightened for a certain time under the condition that an external power supply cannot be obtained, and the vehicle can be easily found by external vehicle personnel in time under an abnormal traffic accident, and the safety of the vehicle is ensured. And the safety is improved.

Provided in the present application are a vehicle accident detection method, apparatus and system, and a terminal device and a vehicle-mounted device. By means of the vehicle-mounted device and the terminal device, which are located in the same vehicle, performing dual detection on whether traveling is abnormal, the result of the vehicle-mounted device and the terminal device detecting whether the traveling is abnormal is taken into full consideration; and the detection of a vehicle state by the vehicle-mounted device can be combined with the capability of the terminal device in vehicle accident detection and emergency rescue calling, thereby improving the accuracy of vehicle accident detection, and also preventing false alarms for special situations such as skiing and roller coaster rides.

The invention discloses a car accident event monitoring and early warning system and method based on star flash, and the system comprises a car accident monitoring host, an audio collection device, a deceleration warning lamp and an alarm broadcast, and all devices are connected through a star flash communication module. During working, the audio acquisition device continuously acquires road environment sound and sends the road environment sound to the host, and the host performs framing, feature extraction and classification recognition on the audio, judges whether braking or collision sound occurs or not, and further judges the occurrence of a traffic accident according to a continuous or combined acoustic event; once confirmed, the deceleration warning lamp is controlled to flicker and broadcasts voice to warn vehicles behind. According to the invention, acoustic monitoring is utilized to get rid of dependence on visual conditions, and all-weather traffic accident perception is realized; low-power-consumption, long-distance and multi-device reliable networking is realized through star flash communication, and large-scale deployment of roads is supported; and secondary accidents are effectively prevented by means of real-time acousto-optic early warning, and the active protection capability of road traffic safety is improved.