29 results about "Vehicle accident" patented technology

This invention discloses a method for accurate identification of the moment of an accident in a new energy vehicle based on multimodal data fusion. The method acquires vehicle motion sensor data, dynamic parameters, and visual image data, and then performs the following parallel processing: The physical layer processes the data to obtain motion features and compares them with preset trigger conditions; when a suspected collision is detected, it outputs the physical layer trigger time and acceleration amplitude; the dynamic layer processes the data based on the deviation between the vehicle's dynamic model and its actual motion state, outputting a vehicle trajectory status label; the visual layer processes the data to detect targets and analyze their motion state; when visual evidence of a collision is detected, it outputs the visual layer trigger time and the type of collision object; the fusion layer performs spatiotemporal alignment of the three layers' outputs and makes a comprehensive judgment, outputting the fused accurate collision trigger time and accident scene classification information. This invention effectively filters false alarms and improves the detection rate of low-speed accidents through multimodal fusion, achieving accurate identification of the moment of an accident and scene reconstruction.

The application relates to a communication method and device. The method comprises the following steps: in response to an accident of a vehicle, selecting a target communication device from preset terminals and a public safety answering point (PSAP) according to a communication priority of the preset terminals and the PSAP; wherein the preset terminals are communication terminals of accident contacts associated with the vehicle; in response to the target communication device only comprising the PSAP, sending communication data to the PSAP to establish a communication connection with the PSAP, and recording a communication process with the PSAP to obtain communication audio data; in response to the communication with the PSAP being ended, sending a target communication request to the preset terminals to establish a communication connection with the preset terminals, and playing the communication audio data to the preset terminals. The method can enable the accident contacts associated with the vehicle to learn relevant information of the vehicle accident in time after the accident of the vehicle.

This disclosure relates to the field of data processing technology, providing a method, apparatus, electronic device, and vehicle for generating a body injury prediction model. The method includes: acquiring a curve showing the change in body acceleration of a driver or passenger during a simulated vehicle accident, and seat parameters; fitting the curve to obtain a fitted curve, determining the curve parameters of the fitted curve, and establishing a correlation between the curve parameters and the seat parameters; determining a computational relationship between body acceleration and the injury value of a target body part; and combining the correlation and the computational relationship to obtain a body injury prediction model, so as to determine the injury value of the target body part based on the seat parameters at the time of the vehicle accident using the body injury prediction model. Thus, it is not necessary to collect body acceleration data to calculate the injury value of the target body part; the body injury prediction model can directly determine the injury value of the target body part based on the seat parameters, achieving the prediction of the injury value of the target body part.

This application provides a method, device, equipment, and medium for alarming vehicle accidents, relating to the field of accident alarm technology. The method includes: acquiring a vehicle collision signal; if the collision signal exceeds a preset threshold, acquiring the status of the vehicle's communication module; if the vehicle's communication module status is abnormal, determining the status of the occupants and controlling the vehicle's drone to fly to a target observation location to collect external environmental data of the vehicle; controlling the drone's communication module to send vehicle accident alarm information to a target service device; the alarm information includes the collision signal, the status of the occupants, and the external environmental data. The vehicle accident alarm method, device, equipment, and medium provided by this application can enrich alarm information and improve the success rate of vehicle accident alarms.

The embodiment of the application provides a kind of headlamp adjusting method, device and electronic equipment.The headlamp adjusting method includes: obtaining the driver's line of sight direction and obtaining the driver's line of sight angle according to the driver's line of sight direction;Driver's line of sight angle is the angle between the driver's line of sight direction and the preset direction, obtain the direction to be driven of vehicle at current time and vehicle steering angle;According to the driver's line of sight angle and vehicle steering angle, the irradiation angle of headlamp is adjusted, and according to the driver's line of sight direction and the direction to be driven of vehicle at current time, the irradiation direction of headlamp is adjusted.Such can be adjusted according to the driver's line of sight angle and vehicle steering angle Irradiation angle of headlamp, so that in complex road, the irradiation angle of headlamp can take into account the area to be driven of vehicle and the area of driver's attention, to improve driving safety, reduce the probability of major vehicle accident.

This invention relates to a vehicle safety management method, system, and device, belonging to the field of vehicle safety management technology. The invention utilizes a hazard identification model to identify hazard situations in real time, thereby collecting environmental feature data around the vehicle. This data is then integrated with the hazard situation for analysis and judgment, generating a judgment result. Finally, relevant prompts are generated based on the judgment result, including prompts for unlocking or lowering windows. This invention can accurately identify hazards such as vehicles falling into water or accidents, allowing for more precise escape plans. Furthermore, during network training, data from certain modalities is randomly discarded, such as simulating a camera being obscured by mud or water, forcing the model to learn to accurately judge hazards using remaining modalities, such as relying solely on sudden increases in water pressure and sinking acceleration, thus solving the problem of sensor failure in real-world scenarios.

Device for preventing traffic accidents when an external object penetrates the space under the pedal assembly, comprising at least one cutting element designed to pierce a voluminous external object, characterized in that it has the form of a shaped cover plate, which is a semicircle with an outer and an inner edge, wherein the outer edge has the shape of the at least one cutting element and the inner edge is provided for mounting on the pedal lever of the vehicle.

This invention discloses a fault detection method, device, vehicle, medium, and product. The fault detection method includes: acquiring abnormal state data of a target vehicle; reporting the abnormal state data to a cloud server, so that the cloud server inputs the abnormal state data into a target fault detection model to detect potential faults in the target vehicle. This invention solves the technical problem in the prior art that it is impossible to detect vehicle faults before they occur. By predicting whether a target vehicle will malfunction in advance, it effectively reduces the likelihood of vehicle accidents, thereby improving vehicle driving safety.

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.

The application provides a smart networked vehicle accident evidence storage and responsibility determination system and a retrieval method. The system comprises a blockchain network module, an intelligent contract module, a blockchain gateway module, a traffic management department evidence collection module and an SCMS link value query module. The blockchain gateway module is used for obtaining communication messages of a vehicle-mounted unit, forming structured evidence storage data and uploading the data to a blockchain intelligent contract. When an accident occurs, the accident is reported to the blockchain intelligent contract, and an accident evidence collection request is sent to surrounding vehicles. After receiving the request, the surrounding vehicles upload their link values to the intelligent contract. After receiving the reported accident and the link values, the traffic management department transmits the link values into the SCMS system, obtains all the link values of the vehicle being collected within the same time period, combines the link values and the accident time, calculates the retrieval key of all possible messages within the space-time range of the accident, and transmits the retrieval key into the blockchain network through a filter and an on-chain mapping query to retrieve relevant evidence.

The application provides a multi-modal data-driven intelligent claim settlement risk control system, relates to the technical field of insurance services, and comprises a multi-modal data acquisition module, a multi-modal data fusion and correlation analysis module, a historical claim analysis module and a decision output module; the multi-modal data acquisition module acquires multi-modal data related to a vehicle accident claim settlement event; the multi-modal data fusion and correlation analysis module constructs a multi-modal fusion model and calculates a correlation index; the historical claim analysis module acquires metadata of a claim settlement event and calculates a claim settlement similarity index based on the metadata; the decision output module pre-sets a correlation threshold and a claim settlement similarity threshold, establishes an inspection mechanism, and determines whether to trigger a manual inspection process. The application realizes multi-dimensional evidence consistency verification and space-time context risk perception capability that cannot be achieved by a conventional system, locks high-risk cases through a double-threshold joint decision mechanism, and automatically triggers manual inspection, effectively solving the limitations of traditional risk control systems, such as dependence on a single data source, difficulty in identifying complex fraud patterns, and lack of dynamic adaptability.

This utility model relates to the field of vehicle accident detection technology and discloses a vehicle accident recognition device based on motion detection. When disassembly and maintenance are required, the two side blocks can be pressed inward to push the interior of the connecting block, and the connecting block can be pulled outward to complete the overall disassembly of the connecting component and the camera. After maintenance is completed, the connecting component and the camera can be fixedly installed under the action of the spring. The overall operation is simple and quick. At the same time, compared with the prior art, this device also has the advantages of high detection accuracy and fast response speed. By combining motion detection technology with a high-performance camera, it can realize rapid calculation of vehicle speed, rapid identification of license plates and accidents, accurately cover the monitoring of the entire road section at the hundred-meter level, and adapt to different road infrastructure conditions.

An object of the present application is to improve a technique for transporting an AED to a prescribed location. A notification device capable of making a notification when a vehicle accident occurs, the notification device performing processing of searching for an AED in the vicinity of an accident vehicle, searching for a nearby vehicle capable of transporting the AED in the vicinity of the AED, and transmitting a transport request to transport the AED to the accident vehicle to the nearby vehicle.

The application discloses a bridge rescue training facility and method, and belongs to the technical field of bridge rescue training facilities.The bridge rescue training facility has a bridge area and an under-bridge area, and a plurality of engineering elevators and a plurality of staircases are arranged on the sides of the bridge area, the engineering elevators are used for assisting in carrying instruments to the bridge surface, the bridge rescue training facility is provided with structural stress monitoring sensors at structural stress points, the structural stress monitoring sensors are used for monitoring the structural stability in real time, and an automatic alarm is given when a structural member is damaged or reaches a maximum set stress value; the bridge area is provided with a bridge intact section, a bridge damaged section and a traffic accident occurrence section; the under-bridge area is provided with a dangerous chemical tank vehicle accident occurrence section; the bridge damaged section is provided with bridge damage points and a bridge fracture zone; the bridge damaged section simulates the bridge superstructure damage, the bridge substructure damage, the foundation damage and the bridge fracture scene after an earthquake disaster, and the bridge damaged section is used for carrying out the training of rapidly rescuing and repairing a damaged bridge; and the bridge damage points are located at the bridge surface plate, the beam plate, the anti-falling baffle, the support seat, the pier column and the foundation part.

This application provides a vehicle control method and a vehicle. The method, applied in the field of vehicle chassis technology, includes: when the vehicle is on an uphill section of road, acquiring the slope angle of the road surface and the actual suspension height of each wheel; determining the actual pitch angle of the vehicle based on the actual suspension height of each wheel; determining a first adjustment torque based on the slope angle and the actual pitch angle; and adjusting the main power of each wheel to reduce the vehicle's front-end height based on the first adjustment torque. By reducing the vehicle's front-end height, this method allows the driver's view to remain on the road ahead, thereby reducing the driver's blind spot and thus lowering the risk of vehicle accidents.

The application discloses a kind of multi-source vehicle data fusion method, medium and computer equipment, wherein the method comprises: extracting multi-source vehicle data from the vehicle data storage device of the vehicle of traffic accident;Different data processing methods are provided for single-source time period data and single-source continuous data obtained from a single vehicle data storage device, efficient integration and accurate alignment of single-source data are realized to ensure the consistency of time series and the reliability of data source in subsequent analysis;Merge multiple single-source time period data and multiple single-source continuous data onto the same time axis.The application can automatically and systematically extract data from different electronic control units of the vehicle and merge them onto the same time reference data axis with high precision and high reliability to support high-quality vehicle accident data forensics analysis.

The application provides a vehicle accident emergency response method, an electronic device and a storage medium. The method comprises the following steps: obtaining a target driving path of a first vehicle for a preset cooperative task and an original driving path of a second vehicle, performing risk propagation on a dynamic risk field to obtain a first risk exposure degree of the first vehicle under the target driving path and a second risk exposure degree of the second vehicle under the original driving path, obtaining a first cooperative value of the first vehicle according to vehicle information of the first vehicle, obtaining a second cooperative value of the second vehicle according to vehicle information of the second vehicle, obtaining task allocation information according to the first risk exposure degree, the second risk exposure degree, the first cooperative value and the second cooperative value, and sending a task instruction to a corresponding vehicle to enable the corresponding vehicle to perform a target cooperative task. Thus, when an accident occurs to a target vehicle, surrounding vehicles can provide emergency cooperative response, thereby meeting the intelligent and accurate requirements of accident emergency response.

This invention provides a novel bracket-equipped vibration isolation device for use in electric vehicles that reduces or avoids the risk of damage to wire harnesses in the event of a collision between the body-side bracket and other components during an automobile accident. [Solution] A vibration damping device 10 with a bracket for vibration-damping support of an electric motor 68 relative to a vehicle body 66 in an electric vehicle, comprising a body-side bracket 14 fixed to the vehicle body 66, the body-side bracket 14 being provided with fixing parts 42, 44 fixed to the vehicle body 66 at multiple locations in the front-rear direction of the vehicle, the body-side bracket 14 having a front-end projection 46 that is biased toward the rear side of the vehicle and partially protrudes toward other members 70 on the vehicle body 66 side, the projection height of the front-end projection 46 is set so that even when the front-end projection 46 is in contact with the other members 70, space for wiring a wire harness 72 is secured between it and the other members 70.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, the operating status of the features, the identity of a vehicle operator, risk levels for operation of the vehicle by the vehicle operator, or damage to the vehicle may be determined based upon sensor or other data. According to further aspects, decisions regarding transferring control between the features and the vehicle operator may be made based upon sensor data and information regarding the vehicle operator. Additional aspects may recommend or install updates to the autonomous operation features based upon determined risk levels. Some aspects may include monitoring transportation infrastructure and communicating information about the infrastructure to vehicles.

The application relates to the technical field of artificial intelligence, and discloses an intelligent claim settlement method and device, computer equipment and a storage medium, which comprise the following steps: in response to detecting that a user triggers a self-service insurance claim settlement service on a client, taking a picture of a road surface at a vehicle accident site through the client to obtain a claim settlement photo; performing semantic segmentation on the claim settlement photo to obtain a target road surface texture fingerprint; performing slope calculation according to the claim settlement photo to obtain a target road surface physical inclination; obtaining target location information of the user through the client, and querying a map database based on the target location information to obtain reference road surface information; performing risk identification on the target road surface texture fingerprint and the target road surface physical inclination based on the reference road surface information to obtain claim settlement risk information; and performing insurance claim settlement for the user based on the claim settlement risk information and the claim settlement photo. The application can be applied to the insurance scene of financial technology and medical health, and the self-service insurance claim settlement safety is improved.

The present disclosure provides an information reporting method and device, and an electronic device, belonging to the technical field of emergency communication. The method comprises: obtaining vehicle state information of a target vehicle, determining whether an accident occurs to the target vehicle according to the vehicle state information; in the case of determining that the target vehicle has an accident, obtaining multi-modal perception data of the target vehicle; constructing a data frame according to the multi-modal perception data, performing encapsulation processing on the data frame according to preset information elements in control plane signaling to obtain target control plane signaling; and sending the target control plane signaling to a rescue center server to analyze the target control plane signaling based on the rescue center server to obtain accident state information of the target vehicle, and pushing the accident state information to a terminal device of a rescue personnel. The present disclosure can quickly and comprehensively report the accident information of the vehicle to the rescue center when the vehicle has an accident, so that the rescue center can respond to the vehicle accident in a timely manner.

This invention discloses a method, system, and vehicle for recording vehicle event data, belonging to the field of vehicle accident data recording technology. When a vehicle collision event is detected, the invention sends collision event information and storage synchronization strategy information to the data recording terminal. Based on the collision event information and storage synchronization strategy information, a first data set is stored in a first non-volatile storage area at a target time. At the same target time, a second data set is stored in a second non-volatile storage area. In response to a diagnostic read command sent by the data recording terminal, the vehicle event recording data in the second data set is sent to the data recording terminal for event diagnosis and recording of the vehicle collision event data. After a collision event occurs, the data recording terminal first completes the data recording, and then performs a diagnostic read command to retrieve and re-save the record, avoiding the problem of collision event data loss if the data recording terminal is damaged.

This invention discloses a multi-vehicle accident recognition method based on spatial clustering and static feature analysis. It obtains long-exposure images by accumulating video frames over a given time window. Based on these long-exposure images, it calculates cumulative confidence, pixel change rate features, and trajectory IOU scores. For each feature dimension of the three-dimensional feature vector, K-means clustering is performed based on the feature values ​​of the cluster centers to identify truly stationary vehicles and slow-moving vehicles. The detection boxes corresponding to truly stationary vehicles are expanded into multiple spatial cluster groups. Further analysis of the lane distribution of vehicles within these spatial cluster groups initially identifies multi-vehicle accidents. The bounding rectangles of all vehicle detection boxes within each cluster group are then calculated as cluster regions. On the long-exposure image, the number and location of vehicles within these cluster regions are detected. Finally, the cluster groups corresponding to multi-vehicle accidents, traffic congestion, and single-vehicle abnormal parking labels are determined, solving the problem of single-feature-based judgment failure in complex scenarios.

This disclosure relates to the field of vehicle control technology, providing a method, apparatus, device, and vehicle for adjusting vehicle seats based on bodily injury. The method includes: setting multiple sets of seat parameters through multiple simulated vehicle accidents, inputting these parameters into a pre-constructed bodily injury prediction model to obtain the target body part injury value corresponding to each set of seat parameters; determining the minimum injury value from the multiple target body part injury values; determining the target seat parameter corresponding to the minimum injury value from the multiple sets of seat parameters; and adjusting the vehicle seat according to the target seat parameter. In this way, through multiple simulated vehicle accidents, the target seat parameter that minimizes the injury value to the target body part can be accurately determined from multiple sets of seat parameters. By adjusting the vehicle seat according to the target seat parameter, the injury value to the target body part is minimized in the event of an accident, thus reducing the damage to the target body part to the greatest extent possible.

A vehicle accident detection and automatic reporting system is disclosed. The vehicle accident detection and automatic reporting system comprises: a vehicle terminal connected to an OBD connector mounted in a vehicle; and a user terminal owned by an occupant of the vehicle and configured to communicate with the vehicle terminal. The vehicle terminal includes: a driving information collection unit that collects driving data of the vehicle from the OBD connector; an inertial measurement sensor that measures acceleration data of the vehicle terminal; a processor that determines a vehicle collision on the basis of the acceleration data measured by the inertial measurement sensor, calculates a collision time point, and extracts pre-collision data acquired for a preset time period before the collision time point and post-collision data acquired for a preset time period after the collision time point; and a communication module that communicates with the user terminal and transmits the pre-collision data and the post-collision data to the user terminal. The user terminal includes: an accident determination unit that determines whether an accident has occurred by processing the pre-collision data and the post-collision data as input data using a pre-trained AI deep learning algorithm and comparing learning results with pre-stored accident pattern information; and an accident type and severity analysis unit that, using the pre-trained AI deep learning algorithm, divides the pre-collision data and the post-collision data into preset time units on the basis of the collision time point to generate a plurality of segments, compresses each of the plurality of segments to different sizes to generate segment compression signals, extracts feature points from each of the segment compression signals, and compares the extracted feature points with pre-obtained feature points corresponding to accident types and severities to determine an accident type and accident severity.

The application discloses a diamond breaking ring saw for new energy vehicle accident rescue, and belongs to the field of emergency rescue equipment. The diamond breaking ring saw comprises a ring saw blade base body, brazed diamond tool bits and an inner ring driving mechanism; the tool bits form carbide transition layers with diamond abrasive particles under vacuum by using nickel-based brazing filler metal, the height of the tool bits is 70%-80% of the diameter of the abrasive particles; the tool bits are laser deep fusion welded with the base body, the width of the heat affected zone is less than 0.5 mm; the inner circumference of the base body is provided with a driving inner gear ring, the driving inner gear ring is driven through gear meshing, the central rotating shaft is cancelled, and the diameter of the saw blade is 370 mm, and the radial cutting depth of the saw blade is more than 270 mm. A power module adopts a 72V lithium battery pack and a 6kW inverter unit, and has peak power compensation and progressive current rise starting functions. A cooling and protection module is integrated with directional water mist cooling, double-layer insulation handles, a ceramic insulation coupling and active leakage cutting. The application realizes efficient and safe breaking of super-high-strength components with edge driving configuration, microscopic interface design and multi-stage safety protection.

This invention provides a vehicle control method, a vehicle control terminal, and a storage medium. The method includes: determining whether there is an obstacle within a preset range of the vehicle; if there is an obstacle, acquiring the distance between the obstacle and the vehicle in real time, and determining a first torque safety factor based on the distance between the obstacle and the vehicle; acquiring the distance between the obstacle and the longitudinal centerline of the vehicle in real time, and determining a second torque safety factor based on the distance between the obstacle and the vehicle and the distance between the obstacle and the longitudinal centerline of the vehicle; determining the target torque of the vehicle based on the first torque safety factor, the second torque safety factor, and the vehicle's required torque; wherein the target torque of the vehicle is less than the vehicle's required torque. This invention, when an obstacle is detected around the vehicle, dynamically reduces the vehicle's torque based on the distance between the obstacle and the vehicle and the distance between the obstacle and the vehicle's longitudinal centerline, effectively reducing the occurrence of vehicle accidents.

The application provides a method for identifying bubble vehicles based on vehicle maintenance data, comprising the following steps: data collection and analysis preprocessing: collecting a large-scale data set comprising the vehicle maintenance data and vehicle accident data, and performing quality control on the large-scale data set, including data cleaning and abnormal value removal processing; data analysis: processing the description text in the large-scale data set to obtain corresponding risk types and levels. The application can capture subtle features, and the final identification accuracy is higher; can well process the complex correlation and nonlinear relationship in the vehicle data; improves the accuracy of the limit analysis method, and can find potential bubble accidents.

A device (200) for absorbing accident energy in an electric vehicle comprises at least one cross member (204) arranged above a battery housing (202) in a transverse direction of the vehicle, and a battery protection element (206) arranged below the battery housing (202) to prevent the transmission of impact forces from below to the battery housing (202). The device (200) comprises a pair of impact beams (208) arranged between the battery housing (202) and side sills (102) of the vehicle on two lateral sides of the battery housing (202). An upper side of the impact beams (208) is coupled to the at least one cross member (204), and a lower side of the impact beams (208) is coupled to the battery protection element (206) to prevent the transmission of lateral impact forces to the battery housing (202).