19results about How to "Avoid traffic accidents" patented technology

The application discloses a path planning method and system of an autonomous vehicle, an electronic device and a medium. The method comprises the following steps: acquiring road surface environment information; perceiving traffic participants on the road surface based on the road surface environment information, and acquiring perception information of each traffic participant; determining the uncertainty of the category perception of the traffic participant based on the category information in the perception information, and acquiring perception uncertainty information for identifying the uncertainty; acquiring the first potential field weight of the traffic participant based on the position information, the category information and the perception uncertainty information; and generating a path planning scheme of the autonomous vehicle by using an autonomous driving system based on the first potential field weight. The method can avoid traffic accidents caused by category perception uncertainty factors, and is beneficial to improving the safety of the autonomous vehicle.

This utility model discloses a nighttime driving safety enhancement device at the nose of a highway, belonging to the field of highway traffic safety technology. This utility model uses nighttime vision guidance components deployed on the mainline and ramp guardrails in a designated area to continuously guide drivers in anticipating changes in traffic flow, preventing sudden accidents. Illuminated warning components behind the small nose point alert drivers to entering critical areas, while reflective guide components in front help predict road direction. Warm yellow and pure white guidance lights are respectively installed on the left and right sides to help determine road boundaries, with continuous lighting guiding the driver's line of sight along the road. A segmented guidance system is adopted: constant illumination at long distances provides stable guidance, flashing at medium distances enhances warnings, and constant illumination at close distances reduces visual fatigue. This effectively solves the problem of unstable visibility and warning effects of existing devices in the nose area at night and in low-visibility environments, and ensures guidance effectiveness under adverse conditions through a combination of active and passive illumination.

The utility model belongs to tire technical field, concretely relates to a kind of non-pneumatic tire buffer support and the non-pneumatic tire prepared by it. The buffer support is sequentially support outer ring, support spoke piece, support inner ring along tire ground side to inside, its characterized in that, the support spoke piece is located between support outer ring and support inner ring, support spoke piece is evenly distributed in radial along circumference, support spoke piece is in the shape of truncated cone, support spoke piece cross section gradually decreases from tire inside to outside, one end of section is fixedly connected with support inner ring, one end of section is fixedly connected with support outer ring. The non-pneumatic tire has the same support ability and buffering performance as pneumatic tire, completely solves the problem of tire burst of pneumatic tire, avoids traffic accident.

The utility model belongs to railway safety monitoring technical field especially relates to a kind of redundancy formula railway unmanned crossing alarm system, active magnetic steel is respectively installed in the two sides of unmanned crossing, passive magnetic steel is respectively installed in the outside of active magnetic steel, the active magnetic steel and passive magnetic steel are all connected controller, controller connects alarm sounder;The control mainboard in the controller includes two circuits, passive magnetic steel control circuit and active magnetic steel control circuit, the passive magnetic steel control circuit includes passive magnetic steel input J1 and current-limiting resistance R1, passive magnetic steel input J1 connects current-limiting resistance R1, current-limiting resistance R1 connects isolation photocoupler U1, isolation photocoupler U1 connects alarm sounder;Adapter plate is additionally installed on the control mainboard in the controller, to match interface, passive magnetic steel control circuit is connected on adapter plate. Train is detected by active magnetic steel and passive magnetic steel, no matter high speed or low speed of train, low magnetic car body or under extreme weather conditions, alarm system will not occur missed detection.

The invention discloses a vehicle headlamp control method and device, a vehicle and a computer readable storage medium, the vehicle headlamp comprises an illumination module used for illumination and a projection module used for projection, and the vehicle headlamp control method comprises the steps that when it is recognized that the vehicle drives into a tunnel road section, the driving track of the vehicle is obtained in real time; and based on the driving track, controlling a projection module to project a projection image matched with the driving track in front of the driving vehicle. According to the method, the driving track of the current vehicle can be visually known by observing the projection image projected on the ground, visual driving guidance is provided for a driver, attention of other vehicles can be improved, traffic accidents such as rear-end collision can be prevented, and therefore the safety of road driving is overall improved; meanwhile, by means of the control method of the vehicle headlamp, the problem that a traditional headlamp is poor in lighting effect at night or under the condition of poor sight is solved, and the overall science and technology feeling and intelligence feeling of the vehicle can be improved.

A pedestrian detection device for blind spots on buses with risk avoidance function includes a powered telescopic frame, a pedestrian recognition module, an audible and visual alarm, an environmental recognition module, a geographic location recognition module, an emergency avoidance module, and an embedded microcontroller. The powered telescopic frame is installed on the front roof of the bus. The pedestrian recognition module, environmental recognition module, and emergency avoidance module are all mounted on the powered telescopic frame. The audible and visual alarm and the embedded microcontroller are both installed on the interior ceiling of the bus, directly below the powered telescopic frame. The geographic location recognition module is mounted on the embedded microcontroller. The embedded microcontroller is connected to the powered telescopic frame, pedestrian recognition module, audible and visual alarm, environmental recognition module, geographic location recognition module, and emergency avoidance module via signals. This invention can effectively identify pedestrians in the blind spots of buses, alert the driver to driving safety through the audible and visual alarm to avoid traffic accidents, and also has risk avoidance and emergency avoidance functions.

The utility model belongs to tire technical field, concretely relates to a kind of non-pneumatic tire for passenger car, including tread layer, buffer support body and rim, the tread layer includes tread ring base rubber layer, the outer surface of tread ring base rubber layer is tread pattern, and the inner of tread ring base rubber layer is provided with tread ring framework;The first layer tread ring framework, the second layer tread ring framework are sequentially composed by the inner of the tread ring framework along tire ground side, and the tread ring framework is made of nylon cord material, the included angle of the first layer tread ring framework and tire circumferential direction is 23-25 °, and the included angle of the second layer tread ring framework and tire circumferential direction is 15-17 °.By optimizing the structure and material of non-pneumatic tire, it needs to have good shock-absorbing performance, handling performance and lightweight design, suitable for passenger car;It has the same supporting capacity and buffering performance as pneumatic tire, completely solves the problem of tire burst of pneumatic tire, avoids traffic accident.

The utility model discloses a kind of integrated monitoring system of sewer network inspection well, including first wireless data transmission module, first wireless data transmission module is electrically connected with liquid level sensor, flow sensor, water quality sensor and inspection well cover displacement monitoring sensor, first wireless data transmission module is connected with second wireless data transmission module by wireless communication protocol, second wireless data transmission module is connected with server by collector, server is connected with display screen.The utility model sets up inspection well cover displacement monitoring sensor, when inspection well cover appears displacement or the condition of lifting, will lead to the pressure data monitored by at least part pressure sensor change, by the terminal equipment comprehensive analysis of remote inspection well cover corresponding multiple pressure sensor monitored pressure data, can judge whether the displacement or lifting condition of inspection well cover appears, to be able to avoid traffic accident caused by inspection well cover anomaly in time.

A method for detecting pedestrians in the blind spot of a bus with risk avoidance function includes the following steps: (i) installing a pedestrian detection device with risk avoidance function in the blind spot of the bus above the front roof; (ii) collecting images of the blind spot of the bus while the bus is moving normally; (iii) detecting the blind spot images to obtain the real-time location information of the target pedestrian; (iv) outputting an alarm message when the target pedestrian is within the blind spot of the bus; (v) predicting the trajectory of the target pedestrian when the target pedestrian is not within the blind spot of the bus; (vi) outputting an alarm message when the trajectory of the target pedestrian enters the blind spot of the bus based on the predicted information. This invention can effectively identify pedestrians in the blind spot of a bus, remind the driver to pay attention to driving safety through an audible and visual alarm to avoid traffic accidents, and also has risk avoidance and emergency avoidance functions.

This invention provides a method and system for taking over autonomous driving in vehicles. The method includes the following steps: identifying the driver's fatigue level based on real-time acquired facial images; outputting corresponding reminders based on the driver's fatigue level, and selecting between maintaining vehicle operation through autonomous driving or controlling the vehicle to pull over through autonomous driving. This invention can provide safety reminders while automatically activating different levels of autonomous driving functions, effectively reducing vehicle safety accidents caused by sudden health issues of the driver.

The invention relates to a vehicle window living body detection method and system based on a vehicle-mounted camera, and the method comprises the steps: M1, obtaining the image data information in a vehicle in real time based on an in-vehicle camera, obtaining the image data information of a vehicle window region in real time based on an out-vehicle camera, and carrying out the preprocessing, the preprocessed image data information in the vehicle and the vehicle window area is obtained; and M2, based on the preprocessed image data information in the vehicle and the vehicle window area, adopting a yolov8n target detection model to identify the image of the living body in the vehicle and the obstacle image of the vehicle window area, and obtaining the identified data information of the image of the living body in the vehicle and the obstacle image of the vehicle window area. According to the invention, whether a child or other passengers stretch the head, the arms and other body parts out of the car window can be detected, and an alarm is automatically given or automatic intervention measures are taken when dangerous behaviors are identified, so that traffic accidents are effectively avoided.

The utility model discloses an anti-dazzle protective net for expressways, which comprises a net frame, a top frame and a net body, the top frame is fixedly connected with the net frame, one side of the net body is fixedly connected with the net frame, the other side of the net body is fixedly connected with the top frame, the net body comprises a fence body and a connecting point, and the connecting point is fixedly connected with the fence body. Diffuse reflection points are arranged on the outer side of the fence body and the outer side of the connecting point. Due to the fact that the top frame is fixedly connected with the net frame, one side of the net body is fixedly connected with the net frame, the other side of the net body is fixedly connected with the top frame, the net body comprises the fence body and the connecting points, and the diffuse reflection points are arranged on the outer sides of the fence body and the connecting points, when light irradiates the surface of the net body, specular reflection does not exist. The problem that the sight of a driver is disturbed by dazzling light to cause traffic accidents can be avoided.

This utility model belongs to the field of tire technology, specifically relating to a high-load-bearing non-pneumatic tire, including a tread layer, a buffer support body, and a rim. The tread layer includes a tread ring base rubber layer, the outer surface of which is the tread pattern, and a tread ring skeleton is disposed within the tread ring base rubber layer. The tread ring skeleton is composed of a first tread ring skeleton, a second tread ring skeleton, and a third tread ring skeleton sequentially from the side of the tire tread pattern inward. The three tread ring skeletons are made of steel cord material. The angle between the first tread ring skeleton and the tire circumference is 23-25°, the angle between the second tread ring skeleton and the tire circumference is 14-16°, and the angle between the third tread ring skeleton and the tire circumference is 14-16°. By optimizing the structure and materials of the non-pneumatic tire, it possesses high load-bearing capacity; it has the same support capacity and buffering performance as a pneumatic tire, completely solving the problem of tire blowouts of pneumatic tires and avoiding traffic accidents.

The application provides a control method and device of a vehicle-mounted recording equipment, a vehicle and a storage medium. The method comprises the following steps: in response to an opening instruction of a recording function on a multimedia host of the vehicle, determining a first steering control screen from two steering control screens on a steering wheel of the vehicle; controlling the first steering control screen to display a first interaction interface corresponding to the recording function, the first interaction interface comprising a plurality of controls; and in response to a triggering operation on any control in the plurality of controls, controlling the vehicle-mounted recording equipment. Through the above technical solution, the steering control screen can be used to control the vehicle-mounted recording equipment to record, without the need to use a recording software on a mobile terminal such as a mobile phone, thereby simplifying the recording process and effectively avoiding traffic accidents caused by distraction during recording while driving.

The invention discloses a safe head-up display method and system for a recorder, and relates to the field of intelligent driving assistance. The method comprises the following steps: collecting a real-time scene picture and GPS positioning data, and constructing an initial state set; performing physical identification on the initial state set to construct an image information set, and establishing a multi-dimensional data set in combination with the GPS positioning data and the image information set; performing data analysis on the multi-dimensional data set by using an algorithm, judging a driving state, and generating a driving state set; generating real-time feedback information according to the driving state set; an operation instruction state is collected, and instruction information is generated; and the instruction operation module is used for executing user operation according to the instruction information, and locking or photographing video segments recorded by the camera. According to the method and the system, multi-scene driving safety protection is realized, and the accuracy of driving early warning and the reliability of accident evidence collection are greatly improved.

The application discloses a kind of fatigue driving monitoring method, equipment and medium based on cloud intelligent learning, belong to the technical field of automobile monitoring.The method comprises: obtaining the monitoring video data of driver, and sends to cloud;Monitoring video data is handled based on image preprocessing algorithm, to extract multiple facial features of driver;Multiple facial features are handled based on fatigue identification model, to determine fatigue degree;Fatigue degree is sent to cloud based on early warning;Cloud database is handled based on cloud computing module, and iterative operation training identification model is operated, to obtain the deviation of training identification model, the training identification model of minimum output deviation;The weight factor of minimum training identification model of deviation is obtained by processing minimum training identification model of deviation based on reverse operation algorithm, and fatigue identification model is updated.The application improves the accuracy, popularity and stability of monitoring fatigue driving by the above method, while not affecting the normal driving of driver.

The utility model provides a lifter road stake, including control cabinet body, intelligent control machine, base column body, decorative cover, road stake column body, warning lamp pearl, fluorescent band, drain pipe, top cover, threading pipe and warning tape, the inside upper side position of control cabinet body is connected with screw of intelligent control machine, the one side of base column body is independently established to control cabinet body, the inside top end of base column body is connected with screw of decorative cover, the inside of road stake column body is inserted into the inboard of base column body and is passed decorative cover. The utility model discloses through the upper portion of fixed ring 54 and fixed hook 53 hang warning tape 11, can play the blocking current limiting from the middle, enhances the blocking protection effect, improves response speed: the 4G / 5G communication interface of this lifter road stake can be connected with wisdom parking system or public security inspection platform, cooperate warning lamp pearl 6 and fluorescent band 7 at night, can guarantee the good warning effect at night, avoids the occurrence of traffic accident.

A method for adjusting a position of a driver assistance device according to a driver state is provided. The method includes steps of: a position adjusting device, (a) inputting an upper and a lower body images of a driver, acquired after the driver sits and starts a vehicle, into a pose estimation network, to acquire body keypoints, calculate body part lengths, and adjust a driver's seat position; and (b) while the vehicle is traveling, inputting the upper body image into a face detector to detect a facial part, inputting the facial part into an eye detector to detect an eye part, and inputting the adjusted driver's seat position and 2D coordinates of an eye into a 3D coordinates transforming device, to generate 3D coordinates of the eye referring to the 2D coordinates and the driver's seat position, and adjust a mirror position of the vehicle referring to the 3D coordinates.

The application discloses a traffic accident prediction model training method, a traffic accident prediction method and device. The method comprises: obtaining a first historical traffic data set and a second historical traffic data set; extracting a plurality of traffic features of each traffic accident from the first historical traffic data set to form a training sample set, and extracting a plurality of traffic features of traffic safety data from the second historical traffic data set to form an accident-free feature set; in the process of training the prediction model based on the training sample set, the plurality of traffic features of each traffic accident are weighted and calculated to obtain a prediction result of each traffic accident; when it is determined based on the prediction result and a true value that the model does not meet a convergence condition, the weight value of the weighted calculation is adjusted by calculating the difference between the plurality of traffic features of each traffic accident and the corresponding traffic features in the accident-free feature set, until the prediction model required finally is obtained when it is determined based on the prediction result of the plurality of traffic accidents and the true value that the model meets the convergence condition.