109 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 relates to the technical field of vehicle braking control, in particular to a self-adaptive error tolerance automatic emergency braking system and method, and provides a self-adaptive error tolerance automatic emergency braking system and a forward collision early warning system. The method aims at solving the accuracy problem caused by sensor errors in an existing system. The method specifically comprises the following steps: introducing a first-order error propagation model to quantify a key safety index error; comprising the steps of collision time real-time estimation based on a forward sensor, error propagation and tolerance analysis and FCW / AEB trigger logic design introducing a fault-tolerant band. In the design, the maximum tolerance error is set, and the sensor index requirement is reversely deduced, so that the robustness and safety of the system are improved, a quantifiable fault-tolerant boundary is provided for the AEB system, the application effect of the system in a complex road environment is improved, and the method is particularly suitable for high-risk scenes such as expressways and urban expressways and has wide application prospects. And the fault-tolerant capability and the practical application effect of the system are enhanced.

The invention discloses an intelligent driving collision monitoring method based on trajectory prediction, and the method comprises the steps: taking the following features of a vehicle, the interactive behavior features and the eye movement features of a driver as an LSTM-Attention deep learning model, inputting a predicted vehicle moving trajectory, and carrying out the prediction of the vehicle moving trajectory through employing a directed bounding box method on the basis of the predicted trajectory, and OBB) detecting whether there is a risk conflict possibility. According to the method, after the existence of the collision risk possibility is confirmed, a collision early-warning system based on TTC (Time to Collision) is adopted to perform early-warning grading on the severity of the risk collision, and corresponding early-warning measures are taken for different risk grades, so that a driver can timely obtain the potential collision risk condition to take corresponding risk avoiding measures, and the driving safety is improved. And the safety of road traffic is improved.

The invention relates to the technical field of electric tricycle safety, and discloses an electric tricycle safety collision early warning system and method, and the system comprises a multi-source sensor module, a feature extraction and fusion module, a collision risk assessment module, a path optimization module and a grading early warning control module. The method comprises the steps that the multi-source sensor module collects real-time environment and vehicle state data; the convolutional neural network extracts fusion environment data features to generate vectors, and the vectors are input into a Bayesian network model to output a collision risk probability value; constructing a multi-target path optimization model according to the probability value, and searching an optimal obstacle avoidance path by using an improved particle swarm optimization algorithm; and establishing a grading early warning control model according to the path data, and outputting brake pressure and sound-light alarm signals through a fuzzy logic controller. The system can accurately sense the environment, accurately evaluate the risk, optimize the obstacle avoidance path and perform graded early warning control, improves the driving safety of the electro-tricycle, also has sensor self-inspection and hot backup functions, and enhances the system reliability.

The invention discloses a hierarchical collision early warning system and method for cooperative operation of unmanned agricultural machinery, and the method comprises the steps: building a TGAP neural network model, carrying out the multi-modal trajectory prediction of the driving trajectory of the unmanned agricultural machinery in the future several seconds, firstly, roughly detecting whether the collision occurs or not through employing an AABB according to the predicted trajectory point, and if the collision occurs, carrying out the early warning of the collision of the unmanned agricultural machinery; and if the collision is determined to occur, detecting again by using an OBB algorithm, and if the collision is determined to occur, returning to the first time point when the collision occurs, and comparing the first time point with the safe collision time of the unmanned agricultural machine so as to carry out graded collision early warning. According to the invention, trajectory prediction is carried out by using the neural network model, and collision early warning of the unmanned agricultural machine cluster in the agricultural operation process can be carried out in real time in combination with the bounding box collision detection algorithm, and the early warning is timely and accurate.

The invention discloses an airport aircraft variable anti-collision protection area construction early warning method and system and electronic equipment. The method comprises the steps that S1, a multi-level anti-collision protection area basic standard model of an aircraft is constructed in an airport map model; s2, collecting motion sequence data of the aircraft in a time period t1 before the current moment, and inputting the motion sequence data into the LSTM data prediction model to predict motion sequence data of the aircraft in a time period t2 after the current moment; s3, extracting motion sequence data of the time period t1 to adjust the sizes of the emergency collision avoidance area, the early warning monitoring area and the adjacent risk area; collecting the vehicle speed in the vehicle motion sequence data and the speed and course data in the motion sequence data in the time period t2 to calculate the relative distance and the relative speed of the vehicle and the aircraft; and S4, the anti-collision early warning system judges and predicts whether falling into an adjacent risk area, an early warning monitoring area and an emergency collision avoidance area. According to the method, prospective anti-collision technical analysis is realized, and the airport safety operation margin is improved.

The invention belongs to the technical field of traffic intelligent perception, and particularly relates to a road area traffic perception and intervention low-speed operation vehicle collision early warning system and method, and the system comprises a data collection module, a data transmission module, a data processing module, a collision risk judgment module and an early warning information issuing module. Data used by the method are collected data of millimeter wave radar and camera detection equipment installed on a movable device, the method is convenient and rapid to use, real-time radar data is adopted, the method has the characteristics of high detection precision and high detection speed, real-time video data is adopted, the method has the characteristics of light weight and low deployment cost, and the method is suitable for popularization and application. And real-time sensing of vehicle position and size information, weather information and personnel position information can be realized through the edge calculation unit. And the constructor out-of-bound early warning module can judge the position information of the constructors according to the outer contour of the construction operation area and perform early warning prompt on the constructors exceeding the construction operation area, so that the possible interference of the constructors on traffic operation is reduced.

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 TBM tunnel locomotive positioning and anti-collision early warning system, which belongs to the field of tunnel construction safety, and comprises positioning equipment and early warning equipment, the positioning equipment is composed of a UWB positioning base station, a UWB ranging base station, a UWB positioning label and a ranging module on a locomotive, and the UWB positioning base station, the UWB ranging base station and the UWB positioning label are arranged on a tunnel wall. The early warning equipment comprises a local-level early warning module, an intersection-level early warning module and a platform-level early warning module; the UWB positioning base station is used for acquiring one-dimensional position information of the locomotive in the axial direction of the tunnel, and the distance measuring module comprises distance measuring sensors and UWB distance measuring base stations which are arranged at the head part and the tail part of the locomotive and is used for measuring the relative distances between the locomotive and the wall surface of the tunnel and between the locomotive and other locomotives; the local-level early warning module triggers sound-light alarm according to the relative distance between the locomotives collected by the distance measuring module; the intersection-level early warning module displays the track occupation state through a lane indicating lamp and prompts that the locomotive runs safely. The method has the advantage of being high in accuracy.

The invention discloses a scene aircraft collision early warning system and method based on real-time positioning, and belongs to the technical field of airport scene monitoring and safety protection, and the method comprises the steps: obtaining the three-dimensional space coordinates of an aircraft based on the real-time positioning technology, building a kinematic model through the fusion of a velocity vector and a course angle parameter, and carrying out the real-time positioning. Millimeter-level positioning of key parts of the aircraft is realized through three-dimensional point cloud data processing; a plurality of three-dimensional collision situation analysis models are established, and multi-dimensional risk assessment is realized in combination with an improved safety anti-collision time (TTC) algorithm. According to the method, a distributed computing platform is adopted, and through cooperative operation of a point cloud feature matching algorithm and a track prediction model, the problem of monitoring blind areas of a traditional method in complex scenes such as taxiway intersections is effectively solved, and the accuracy of aircraft collision early warning on the airport scene is remarkably improved.

The present invention relates to a blind-spot collision warning system and method, which may include a steering angle sensor for detecting a steering angle of a vehicle; a first rear-side radar for detecting an object on the left rear side of the vehicle; a second rear-side radar for detecting an object on the right rear side of the vehicle; and a control unit for determining a lane change situation at an angle greater than or equal to a set angle according to the steering angle and direction information detected by the steering angle sensor, and correcting the position of the object to the opposite side of the steering direction to prevent the generation of a false warning, when the object is detected by the first rear-side radar or the second rear-side radar in a lane change direction.

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 invention discloses an intersection traffic anti-collision early warning system based on AI identification. The system comprises a data acquisition module; the data acquisition module acquires multi-source traffic data in real time; an AI identification processing module; an early warning decision module which is in communication connection with the data acquisition module, processes and analyzes the acquired multi-source traffic data in real time based on an AI model constructed by a deep learning algorithm, and accurately identifies potential collision risks in a traffic scene; the early warning module receives an output result of the AI identification processing module, comprehensively considers the type of potential collision risk according to a preset collision risk assessment algorithm, and quickly makes an early warning decision; and an early warning information issuing module. According to the decision result of the early warning decision module, early warning information is issued to related traffic participants through multiple communication modes, all the modules are in close cooperation, the safety of the traffic participants at the intersection is comprehensively guaranteed from data collection to risk identification, decision making, early warning issuing and system optimization, and the collision accident rate is effectively reduced.

The invention relates to an anti-collision early warning system. The anti-collision early warning system comprises a distance sensor, an electric field sensor, an image acquisition device and a control module. The control module is used for determining a first safety distance corresponding to the electric field intensity information, determining a second spacing distance between an operation bucket of the high-altitude operation equipment and an obstacle according to the first image, and determining a target spacing distance based on the first spacing distance and the second spacing distance; when it is determined that the target interval distance exceeds the first safety distance, early warning information used for indicating that the interval between the high-altitude operation equipment and the obstacle is too close is output, and the target interval distance is jointly determined through the first interval distance obtained through direct measurement and the second interval distance obtained based on the first image; the accuracy of the target spacing distance is improved, and the first safety distance is determined through the electric field intensity information, so that the flexibility of the first safety distance in different scenes can be improved, and the accuracy of early warning information is improved.

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 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.

1. Name of the design product: Calibrator for automotive driving assistance system with electronic screen. 2. Use of the design product: A calibrator for calibrating various driving assistance systems on vehicles, such as blind spot monitoring systems, rear collision warning systems, etc. 3. Design key points of the design product: Lies in the shape. 4. Picture or photo that best shows the design key points: Perspective view 1 of Design 1. 5. Design 1 is designated as the basic design.

The utility model discloses a curve anti-collision warning system and a vehicle, and the system comprises a warning assembly which is arranged on a vehicle body of the vehicle; the positioning system is arranged on the vehicle body and used for acquiring curve information in front of the vehicle; the shooting assembly comprises a connecting base and an imager, the connecting base is installed in front of the vehicle body, and the imager is arranged on the connecting base and used for obtaining image information in front of the vehicle; the processor is arranged on the vehicle body, electrically connected with the positioning system, the shooting assembly and the warning assembly and used for driving the warning assembly to give out a warning when the curve exists in front of the vehicle and it is determined that the laser signal exists according to the image information. Therefore, the system can remind a driver of the vehicle or a driver on the other side of the curve of the vehicle in advance outside the sight, the probability of scratching and collision accidents is reduced, casualties and property losses are reduced to a certain extent, and the system cost is low.

The invention discloses a motor vehicle and non-motor vehicle collision early warning system and method based on an automatic driving vehicle, and belongs to the field of automatic driving. The early 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 driving environment of the automatic driving vehicle can be provided through the positioning detection system, so that whether the collision early warning system needs to be started or not is judged, and when the collision risk level is calculated, only non-motor vehicles within the minimum safety distance of the automatic driving vehicle are calculated, so that the collision risk level of the automatic driving vehicle is calculated. And therefore, the waste of computing power resources and unnecessary deceleration behaviors caused by irrelevant non-motor vehicles can be effectively avoided.

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 invention relates to a collision warning device (10) for persons, in particular athletes of a team sport, to a collision warning system (20), to an item of clothing or equipment, to an article, and to a use of a collision warning system (20). The collision warning device (10) has a warning unit (12) which is designed to output an optical and / or acoustic warning signal in the event of a risk of collision detected by a detection unit (15).