55 results about "Collision warning systems" patented technology

The invention belongs to the technical field of ocean detection, belongs to a multi-sensor fusion intelligent anti-collision method and system, comprises a sensing layer, a processing layer and an application layer, and provides an intelligent anti-collision and evidence recording ocean monitoring floating system integrating computer vision, target ranging, satellite positioning and ship automatic recognition system multi-sensor fusion. According to the invention, YOLOv8 target detection, Transform data fusion and a Kalman filtering algorithm are adopted, so that accurate detection and anti-collision early warning of ships and floating objects on the sea are realized. The system has an AIS failure processing mechanism and an evidence encryption storage function, and ensures reliable operation and data compliance under complex sea conditions.

The invention discloses a bridge ship collision early warning system based on artificial intelligence, and relates to the field of intelligent traffic infrastructure safety protection. The method is used for solving the problems of difficulty in multi-source data fusion and low risk identification accuracy in a complex water area. The method comprises the following steps: firstly, uniformly mapping a radar point cloud, an AIS signal and a visual trajectory to a coordinate system taking a pier as a center through a Lie group transformation algorithm, and constructing a ship motion state tensor; then, ship behavior characteristics are extracted through a space-time diagram convolutional network, and intention probability distribution and behavior deviation degree are output; thirdly, an orthogonal constraint variational auto-encoder is adopted to decouple the autonomous control behavior and the environment disturbance factor, and a collision risk quantized value is generated according to the norm ratio of the autonomous control behavior and the environment disturbance factor; and finally, constructing a dynamic alarm threshold value according to the behavior deviation degree and the disturbance characteristics, realizing graded early warning, and driving a behavior pattern library to update through a feedback mechanism to form a self-adaptive closed-loop early warning system.

The invention provides a vehicle control method and a vehicle, the method is applied to the technical field of vehicle safety, and the method comprises the following steps: obtaining a planned driving track of a target vehicle; on the basis of the planned driving track and the planned driving track of the current vehicle, under the condition that it is determined that the target vehicle will collide with the current vehicle, the collision time of the target vehicle and the current vehicle is calculated, and the minimum lateral collision avoidance distance for collision avoidance is calculated; and matching a protection action of the current vehicle according to the collision time and the minimum lateral collision avoidance distance, and executing the protection action before collision with the target vehicle. The method solves the problems that an existing collision early warning system cannot dynamically adjust the vehicle posture in a short time, a traditional chassis system cannot cooperate with a steering and suspension system to disperse impact energy before collision, the height of a vehicle is fixed, the living space of a passenger compartment is compressed, collision avoidance is difficult to achieve, and the safety is high. And the living space of the passengers cannot be optimized during unavoidable collision.

The invention discloses a vehicle collision early warning system and method based on multi-sensor fusion, and relates to the technical field of electric vehicles. According to the vehicle collision early warning system based on multi-sensor fusion, firstly, storage battery data and a power supply loop fluctuation state are collected through a storage battery and an electrical safety verification module, and electrical safety levels are divided, so that the influence degree of the power supply state on a multi-source sensor is comprehensively evaluated; then, through a collision early warning grade division module, target priority ranking and collision risk grade division are dynamically optimized according to different electrical safety grades, it is ensured that high-risk targets are processed preferentially, and priority ranking deviation caused by the power supply problem is effectively avoided; and finally, through a time drift correction and degradation operation verification module, carrying out drift correction on a sensor acquisition timestamp, and verifying the effectiveness of a simplified fusion strategy when part of sensor data is unreliable, thereby effectively improving the reliability of the collision early warning system.

The invention discloses a complex city environment sensing and collision early warning system based on an intelligent network connection automobile, and relates to the technical field of electric automobile control. The complex city environment perception and collision early warning system based on the intelligent connected automobile comprises an obstacle positioning identification analysis module, a data fusion synchronous analysis module and a collision risk early warning analysis module. According to the invention, in the obstacle sensing stage of the intelligent network connection platform, positioning identification analysis is carried out on the data sensing process to determine whether radar wave adjustment optimization is carried out, and then in the data processing stage, data fusion synchronous analysis is carried out to determine whether data capacity window optimization is carried out. And finally, collision risk assessment analysis is carried out in the collision risk early warning stage to judge whether filtering cache optimization is carried out or not. The problem that in the prior art, the collision early warning false alarm rate is increased due to the fact that corresponding obstacle sensing delay of the intelligent networked automobile in the peak period road section is caused is solved.

The application discloses a collision warning system for improving the accuracy of vehicle collision risk prediction. The application screens target vehicle pairs according to preset screening conditions. For each target vehicle pair: a collision time set of the target vehicle pair is determined based on the current position information of each vehicle in the target vehicle pair; whether a collision will occur in the vehicle in the target vehicle pair is determined based on the collision time set; and if it is determined that a collision will occur, an alarm indication is sent to the vehicle in the target vehicle pair. Before the vehicle is given a collision warning, the vehicle is screened through the preset screening conditions, and it is first determined whether the vehicle meets the triggering condition, thereby avoiding the waste of computing resources caused by giving all vehicles a collision warning. Whether a collision will occur in the vehicle is determined through the current position information of the vehicle, and the high-precision map information and the information reported by the vehicle are fully combined, so that the warning for the vehicle is more accurate.

The invention discloses an anti-collision early warning system for remote control operation of engineering machinery, and relates to the technical field of anti-collision early warning. A laser radar, a millimeter wave radar and a binocular camera are deployed to form a 360-degree sensing network, and data are synchronized through a GPS timestamp; an improved YOLOv5 algorithm and a density adaptive DBSCAN algorithm are adopted to identify engineering machinery, personnel and obstacles and extract parameters; calculating a collision risk index based on trajectory prediction, and dividing mild, moderate and high risk levels; the early warning decision module adopts a fuzzy control algorithm to generate three-level early warning from visual prompt to automatic deceleration; a 5G and WiFi (Wireless Fidelity) double-link redundancy framework is constructed, and data transmission is guaranteed; developing a console and a tactile feedback handle, presenting risks and providing tactile prompts. According to the method, blind areas are eliminated through source sensing fusion, and targets are accurately recognized; false alarm and missing alarm are reduced through dynamic risk assessment; the safety is improved through three-level early warning and automatic intervention; operation experience is optimized through tactile feedback, and scene adaptability is enhanced through self-learning.

The invention relates to the technical field of bird risk prevention and control, in particular to an anti-bird collision warning system based on a laser curtain wall. Comprising a sensing detection module, an intelligent judgment module, a laser curtain wall execution module, an auxiliary warning module and a guarantee and linkage module. Full-time monitoring of birds is achieved through multi-source sensor fusion, and the collision risk is accurately judged in combination with AI recognition and an LSTM prediction algorithm; the laser curtain wall execution module adopts an annular distributed array, selects a correlation cross or planar projection mode according to a protection scene, and has dynamic characteristics of pulse flicker, motion simulation, color switching and the like; the auxiliary warning module dynamically adjusts warning parameters based on the biological rhythm database; the guarantee and linkage module realizes multi-device cooperation through dual-mode power supply and LoRa networking. According to the method, the limitation of traditional bird prevention measures is effectively solved, and the prevention and control accuracy and ecological compatibility are improved.

Method for operating a collision warning system (82) in a vehicle (80) designed to warn of objects (16, 18, 20) in a detection range (12, 14, 90) approaching the vehicle (80), wherein the collision warning system (82), which is deactivated, is automatically activated due to an object (16, 18, 20) in the detection range (12, 14, 90), and wherein the collision warning system (82) is automatically activated when the vehicle (80) moves away from an object (16, 18, 20) whose approach was the reason for deactivation.

The utility model provides a multifunctional recyclable measurement control point protection device, which belongs to the technical field of engineering measurement control points or monitoring references and comprises a foundation connecting layer, a standard connecting layer, a control measurement layer, a rainproof energy storage ceiling and an anti-collision early warning system which are detachably connected. A protective ladder stand is arranged on the side face of the standard connecting layer and the side face of the basic connecting layer, a measuring instrument is erected in the control measuring layer, the anti-collision early warning system comprises a radar anti-collision system and a security monitoring system, and the basic connecting layer, the standard connecting layer, the control measuring layer and the rainproof energy storage ceiling are mechanically connected through bolts. A protection locking device is arranged at the joint of each layer, and the problems that a traditional measurement control point is long in dismantling period, cannot be recycled, pollutes the environment after being dismantled, and is incomplete in security and protection, and the levelness is not easy to master during platform installation are solved.

The invention discloses a highway guardrail collision alarm and accident evaluation device, system and method, and belongs to the field of highway traffic safety monitoring. The problem that an existing guardrail collision early warning system cannot judge the severity of an accident according to the damage degree of a guardrail in a low-cost and high-stability mode is solved. According to the technical scheme, the device comprises a plurality of stand columns, each stand column is provided with a collision inclination angle monitoring device, a first shell of each collision inclination angle monitoring device is internally provided with an early warning device, each early warning device comprises a second shell and a priority encoder, and a plurality of through holes are formed in the curved surface of each second shell; a plurality of accident level monitoring pieces connected to the input end of a priority encoder are fixedly connected into the second shell, the output end of the priority encoder is electrically connected to a CPU processor, the CPU processor is further electrically connected with a communication module, and the communication module is in network communication with a remote monitoring system through a communication base station; the method is applied to road traffic safety monitoring.

The invention discloses a vulnerable traffic participant collision early warning system and method based on vehicle and road cloud integration, and the method comprises the following steps: S1, collecting data related to a traffic scene through diversified perception means, including edge data, region data and center data; s2, perceptual fusion is carried out on the edge data, the area data and the center data; s3, collaborative decision making is carried out on the fused data through multiple levels, and an event is generated; and S4, converting the event into a specific and executable early warning instruction, and issuing the specific and executable early warning instruction to the target object. According to the invention, the timeliness and accuracy of front collision early warning of vulnerable traffic participants can be improved, and the accident rate is reduced.

A system for providing a stepwise forward collision warning by using V2X, according to the present invention, is a vehicle safety system for detecting a forward hazardous situation in real time and providing a customized warning in consideration of characteristics of an individual driver. The system utilizes V2X communication so as to detect risk factors such as a rapidly decelerating vehicle or an obstacle ahead and transmits same as a warning message to a following vehicle. The warning message is provided with different contents corresponding to a preset lane change zone and speed reduction zone, and each zone can be set according to the severity of a hazardous situation and the distance between vehicles. The present invention can increase road safety through real-time inter-vehicle communication and driver-customized stepwise warning messages and contribute to preventing collision accidents by means of stepwise warnings reflecting characteristics of an individual driver.

This invention belongs to the field of motor vehicle driving safety and discloses a rear-end collision warning system and method for roadside vehicles to avoid pedestrians. The warning system includes a pedestrian detection millimeter-wave radar and a vehicle detection millimeter-wave radar, which are electrically connected to the signal input terminal of a controller, and LED warning lights and a voice device, which are electrically connected to the signal output terminal of the controller. The warning system can determine the collision risk between the vehicle in front and the pedestrian, as well as the rear-end collision risk between the vehicle in front and the vehicle behind, based on the parameter information obtained by the pedestrian detection millimeter-wave radar and the vehicle detection millimeter-wave radar and the information preset in the controller. It then provides graded warnings to pedestrians and drivers of vehicles behind through the roadside LED warning lights and the voice device. The warning method solves the problem of the simultaneous occurrence of pedestrian collision and rear-end collision risks, and has high safety and high reliability.

The present invention relates to a rear side collision warning system and method, which can include a steering angle sensor detecting a steering angle of a vehicle, a first rear side radar detecting an object at a left rear side of the vehicle, a second rear side radar detecting an object at a right rear side of the vehicle, and a control unit judging a condition of changing a lane at an angle equal to or greater than a set angle based on steering angle and direction information detected by the steering angle sensor, and modifying an object position to be located at a direction opposite to a steering direction if the first rear side radar or the second rear side radar detects an object at a lane change direction to prevent an error warning from being issued.

A collision warning system for a host vehicle includes a wireless communication system and an electronic controller. The wireless communication system is configured to receive data transmissions from remote vehicles. The electronic controller is configured to receive data transmissions from a first remote vehicle. A travel path is determined based on positional information included in the received data transmissions from the first remote vehicle, and whether the host vehicle is on the travel path is determined. Whether the second remote vehicle is on the travel path of the host vehicle is determined based on data transmissions received from the second remote vehicle. Generation of a warning is prevented upon determining that the second remote vehicle is on the travel path of the host vehicle.

The invention relates to a method for estimating the distance of a blocked object in front of a vehicle, which is used for solving the problem that the known distance detection of the front vehicle is interfered by blocking to misjudge the distance. The method comprises the following steps: capturing an image in front of a vehicle; identifying a plurality of objects in the image and generating a plurality of corresponding object frames; selecting one of the plurality of object frames as a target object frame and a plurality of other reference object frames in turn; calculating a relative distance between an object corresponding to the target object frame and the vehicle according to the overlapping condition of each reference object frame and the target object frame; and selecting the next object frame as a new target object frame and calculating the relative distance. The invention further discloses a collision warning system. Therefore, the effects of avoiding misjudgment of distance and accurately preventing collision accidents can be achieved.

The invention relates to the technical field of vehicle control, in particular to an anti-collision early warning system and method for a vehicle at an intersection based on a radar and a front-facing camera, and the method comprises the following steps: monitoring the environment and speed of a road in front of the vehicle through the front-facing camera and a speed sensor; judging whether the vehicle is at an intersection and waits for green light passing; the speed of a rear vehicle and the relative distance between the rear vehicle and the vehicle are collected through a radar, and the real-time deceleration and the theoretical braking distance of the rear vehicle are calculated; if the theoretical braking distance is smaller than the actual relative distance, it is judged that the collision risk exists, early warning is triggered, and passengers in the automobile are reminded through a display screen and an alarm; and planning a right-turn escape track based on the left front vehicle information collected by the front camera, and controlling the vehicle to drive into the vertical lane to avoid collision. And measures are actively taken to avoid collision, so that a complete process from risk early warning to actual risk avoiding operation is formed, and the safety of the vehicle at the intersection is improved.

The invention discloses a collision early warning method and device, electronic equipment and a medium, and is applied to a collision early warning system.The method comprises the steps that in response to opening of a gate, the number of to-be-passed ships is obtained, then a collision early warning mode is determined, a camera shooting assembly is controlled to collect image data of a gate chamber according to the collision early warning mode, and the image data is sent to the gate chamber; extracting at least one reference ship body contour corresponding to at least one ship and a reference lock wall contour corresponding to the lock wall from the image data, and performing coordinate correction to obtain at least one target ship body contour and a target lock wall contour; and determining a first target distance between the ship and the lock wall and / or a second target distance between the ship and other ships according to the target ship body contour and the target lock wall contour, and carrying out collision early warning. The accurate ship body contour and lock wall contour can be obtained without image splicing, the accuracy of collision risk identification can be improved, the timeliness of collision early warning is ensured, and safe passing of a ship in a ship lock is ensured.

Device for a vehicle, comprising the following: a driver assistance system that monitors approaching objects around the vehicle and is configured to take a driver assistance action in response to a predicted collision with an approaching object according to a time-to-collision limit; a load monitor that detects whether a trailer is being towed by the vehicle and determines an initial offset in response to a result of the detection, the initial offset being essentially zero if no trailer is detected; a brake monitor that detects a braking force and a resulting change in vehicle speed, determines an expected change in vehicle speed in response to the braking force, and selects a second offset in response to a braking difference between the resulting speed change and the expected speed change, wherein the second offset is essentially zero if the braking difference is below a braking threshold; a steering monitor that detects a steering angle of the vehicle and a resulting change in the vehicle yaw rate, determines an expected change in the vehicle yaw rate in response to the steering angle, and selects a third offset in response to a steering difference between the resulting yaw rate change and the expected yaw rate change, wherein the third offset is essentially zero when the steering difference is below a steering threshold; an updater that determines an order of magnitude of the time-to-collision limit in response to the first, second, and third offsets.

The present disclosure relates to a hearing protection device (10, 10′, 10″) with an indication unit (40a, 40b) and a detection unit (30, 30′, 30″) to send a first detection signal, to assign a distance value based on a second detection signal of an external device (50, 50′) representing the physical distance to the external device (50, 50′) and to control the indication unit (40a, 40b) to provide an indication to the user (100) if the assigned distance value is at or below a predetermined threshold distance value. Thus, a collision may easily and reliably be prevented by providing an indication to the user (100), so that the risk of missing relevant sound of a moving person or object is overcome. A collision warning system comprising such a hearing protection device (10, 10′, 10″) and an external device is also provided. Furthermore, a method of retrofitting a hearing protection device (10′″) with such a detection unit (30, 30′, 30″) is provided.

The application discloses a non-motor vehicle collision warning system and method based on an automatic driving vehicle, and belongs to the field of automatic driving.The warning system comprises a data acquisition module, a data processing module, a control center module, an information communication module and an information response module.The application can provide the driving environment of the automatic driving vehicle through a positioning detection system, so as to determine whether it is necessary to start the collision warning system, and when the collision risk level is calculated, only the non-motor vehicle in the minimum safety distance of the automatic driving vehicle is calculated, so that the waste of computing resources and unnecessary deceleration behavior of the automatic driving vehicle caused by irrelevant non-motor vehicles are effectively avoided.

The invention provides a method and a system for preventing false alarm of a forward collision early warning system, relates to the field of automotive electronics, and solves the technical problem that an existing FCW system still triggers an alarm when a driver is aware of risks and takes countermeasures due to the fact that the existing FCW system does not effectively fuse state information of the driver, so that false alarm is caused. The method comprises the steps that basic reaction time, a fatigue time adjustment value, an accelerator reaction time adjustment value, a braking reaction time adjustment value and a driving reaction time adjustment value of a driver are analyzed, and actual reaction time of the driver is calculated; and based on the actual response time and the basic response time of the driver, analyzing a correction threshold value of the response time, and dynamically adjusting the alarm triggering opportunity of the FCW according to the correction threshold value. The method and the device are used in the process of preventing false alarm of the forward collision early warning system.

A vehicle side collision warning system based on information fusion is disclosed, comprising a signal acquisition module, a vehicle state estimation module, a vehicle trajectory prediction module, and a vehicle collision warning module. The signal acquisition module detects the relative position of the target vehicle relative to the vehicle itself and outputs it as a measurement variable to the vehicle state estimation module. The vehicle trajectory prediction module estimates the relative motion trajectory of the vehicle and sends it as input to the vehicle collision warning module. The vehicle collision warning module calculates the critical value of the square root of the sum of the squares of the lateral and longitudinal distances of the target vehicle relative to the vehicle itself within the safe collision warning time, thereby determining whether there is a risk of side collision.

This invention relates to the field of vehicle technology, specifically providing a vehicle collision warning method, system, storage medium, and vehicle, aiming to solve one of the problems of limited warning range, low accuracy, and poor warning effect in existing vehicle collision warning systems. The vehicle collision warning method provided by this invention includes: acquiring parameters related to the obstacle, the vehicle's motion state, and the air conditioning's operating state; determining, based at least on the relevant parameters, whether there is a collision risk between the vehicle and the obstacle; and, if a collision risk is determined to exist and the air conditioning is operating, issuing a warning to the driver via a warning medium, wherein the parameters related to the obstacle include distance. The vehicle collision warning method provided by this invention can improve the warning effect and accuracy, thereby enhancing the driving experience.

The application discloses a multi-source sensing-based anti-collision early warning system for power distribution network construction machinery, and relates to the technical field of image analysis, which comprises the following steps: obtaining laser radar point cloud data and camera image data, obtaining laser radar distance and visual distance respectively, and performing consistency determination; when there is inconsistency, determining the reference sensor and the sensor to be adjusted by analyzing the visual recognition influence value and the radar response influence value, performing dynamic parameter adjustment on the sensor to be adjusted, obtaining the target distance based on the re-measured distance value and the reference measured distance fusion, thereby constructing a dynamic envelope volume, calculating the net safety distance, and outputting an anti-collision early warning signal, which effectively solves the problem that multi-source sensing data deviates and is inconsistent under complex environmental interference in the prior art, resulting in a decrease in distance detection reliability and affecting anti-collision early warning precision.

This invention discloses a collision avoidance warning system for intelligent vehicles, comprising: an interaction module for interacting with a device in a target scene to acquire scene environment data; the scene environment data includes multiple collision nodes and collision markers corresponding to each collision node; a data acquisition module for real-time acquisition of driving data and driving environment data of the intelligent vehicle when entering the target scene; a data analysis module for obtaining the current collision node of the intelligent vehicle based on the driving data and driving environment data, combined with the scene environment data; and a collision warning module for real-time acquisition of collision avoidance warning information about the collision markers of the current collision node and issuing a warning when the intelligent vehicle is within the warning range of the current collision node. This invention solves the technical problem of limited collision avoidance warning functionality of intelligent vehicles in complex scenarios in existing technologies.

Collision warning system (12) for a vehicle, comprising: a vision system (20) attached to the vehicle, wherein the vision system (20) provides a video of an upcoming road segment which includes at least one object (14) located on the path; a control module (22) coupled to the vision system (20), wherein the control module (22) receives the video from the vision system (20) and provides an enhanced video of the upcoming road segment that includes the object (14) on the path, the object (14) on the path being highlighted according to collision data so that it stands out from the rest of the upcoming road segment; and a visual display (24) coupled to the control module (22), wherein the visual display (24) receives the enhanced video from the control module (22) and displays the enhanced video to a driver; wherein the control module (22) provides an enhanced video of the upcoming road segment, which includes the object (14) on the path, highlighted with a color selected according to the collision data, so that it stands out from the rest of the upcoming road segment, which is provided in black and white, the highlighted object (14) on the path being overlaid on a black and white version of the video originally received from the vision system (20).

An impairment analysis (“IA”) computer system for alerting a first driver of a first vehicle to a driving hazard posed by a second vehicle operated by a second driver is provided. The IA computer system is associated with the first vehicle, and includes at least one processor in communication with at least one memory device. The at least one processor is programmed to: (i) receive second vehicle data including second driver data and second vehicle condition data, where the second vehicle data is collected by a plurality of sensors included on the first vehicle; (ii) analyze the second vehicle data by applying a baseline model to the second vehicle data; (iii) determine that the second vehicle poses a driving hazard to the first vehicle based upon the analysis; and / or (iv) generate an alert signal based upon the determination that the second vehicle poses a driving hazard to the first vehicle.

Vehicle-independent, modular collision warning system with self-sufficient solar power supply for non-destructive retrofitting to vehicle front aprons, consisting of a sensor unit (20), a power supply unit (50) and a vehicle-internal signal unit (90), characterized in that the system is designed as a completely decoupled “plug-and-play” architecture, in which the sensor unit (20) is designed as an adhesive or clamp module that can be adapted non-destructively to the underside of the vehicle front apron (10), which communicates wirelessly via a signal path (70) and in real time with the signal unit (90) located in the vehicle interior (80).