7746 results about "Traffic accident" patented technology

The method and device help avoid traffic accidents and violations through significant enhancing safety and convenience of driving by providing a far better rear and side observation including in darkness, and reliably prevent, if an accident/violation occurs, from misjudging, owing to an unbeatable legal evidence through recording the objective pattern of the accident/violation . It is accomplished by positioning into a vehicle an onboard digital camera having at least one lens with a photo-receiver, shooting permanently the surroundings at an predetermined frequency, showing images captured on at least one onboard screen, and making the running sequence of images through digital memory so that a latest image captured is recorded and stored in digital memory expelling an oldest one and the overall amount of the images and, hence, duration of time recorded does not change. When responding to an accident/violation, at the instant of occurrence plus a predetermined delay, shooting stops (either automatically by an impact of a collision, or manually), and digital memory retains the congealed sequence of images just before, during, and shortly after the event.

A drowsy driving prevention apparatus employing a facial recognition technology and a drowsy driving prevention system employing the same is provided. A GPS and a communication unit for informing a central control center or a traffic accident prevention management institute of information about a drowsy driving state and the position of a vehicle are mounted in the drowsy driving prevention apparatus. Thus, traffic accidents can be prevented. A management server is informed of a driver's drowsiness and a driver can access a portable telephone of an external helper over a network using wireless Internet communication technologies, such as Wibro (also called Mobile WiMAX), HSDPA & HSUPA, Long Term Evolution (LTE), Ultra Mobile Broadband (UMB), TD-SCDMA, TRS, GPRS GSM and CDMA. It is therefore possible to prevent traffic accidents caused by drowsy driving in synthetic and multidimensional ways.

The invention discloses an early warning method and a device for vehicle collision. The early warning method is characterized in that the method comprises the following steps: after a vehicle is fired, colliding an early warning system to begin initializing each parameter, using an OBD information collection module, a sensor information collection module and a GPS information collection module to collect information of the vehicle, using an inter-vehicle information exchange module to collect peripheral vehicle information, sending the information of the vehicle to the peripheral vehicles, calculating individualized collision probability according to self state of a driver, and warning the driver; and the device consists of the OBD information collection module, the sensor information collection module, the GPS information collection module, the inter-vehicle information exchange module, an information exchange module in the vehicles, a collision detection module and a vehicle collision warning module. Each module exchanges information in the vehicle through a wireless local area network in the vehicle, does not change an electric line of the vehicle and does not increase wire harness inside the vehicle, and can effectively reduce occurrence of traffic accidents, so as to reduce casualties.

The invention discloses an area road network traffic safety situation early warning system and a method thereof. The system comprises monitoring equipment, a data transmission system, a data process system and an early warning system. The method comprises the following steps: acquiring data information of road traffic, meteorology, illegal behaviors, and accidents through the monitoring equipment; sending the data information through the data transmission system; carrying out a multiple heterogeneous treatment on the acquired data information through the data process system, and merging data of the same kind; analyzing and assessing early warning grade through the early warning system, and determining and publishing a early warning scheme. Thereby road network traffic safety situation information can be comprehensively grasped, and dangerous source existing in the road network can be discovered timely to determine an early warning grade and generate an intelligent early warning countermeasure. Pertinence, instantaneity and validity of a measure of a road traffic management department actively preventing traffic accidents are improved. Technology support is provided in the invention to reduce area road network traffic risk factor and prevent major and extraordinarily serious road traffic accidents.

The invention discloses a traffic video behavior analyzing and alarming server, comprising a video source input unit, a central processing unit, an alarm unit, a display unit and a storage unit, wherein the video source input unit provides a plurality of paths of traffic video data streams to the central processing unit, the central processing unit simultaneously analyzes various traffic behavior violation on the plurality of paths of video data streams and triggers the alarming unit according to a traffic behavior violation analysis result, the alarm unit alarms in a set mode, the display unit displays the traffic videos and the traffic behavior violation analysis process and results in real time, and the storage unit stores the traffic video streams including whole vehicle violation processes, and the records of the violation analysis results. By means of the invention, various traffic behaviors (such as line crossing, retrogradation, illegal parking, traffic accidents and traffic flow statistics) in a plurality of paths of traffic video streams can be analyzed simultaneously and independently in real time, vehicle violation can be found out in all paths of traffic video streams in real time, and alarm treatment can be carried out in a very short time.

The invention belongs to the field vehicle active safety, and particularly discloses a detection method and system, based on laser radar and binocular camera, for a pedestrian in front of vehicle. The method comprises the following steps: collection data of the front of the vehicle through the laser radar and the binocular camera; respectively processing the data collected by the laser radar and the binocular camera, so as to obtain the distance, azimuth angle and speed value of the pedestrian relative to the vehicle; correcting the information of the pedestrian through a Kalman filter. The method comprehensively utilizes a stereoscopic vision technology and a remote sensing technology, integrates laser radar and binocular camera information, is high in measurement accuracy and pedestrian detection accuracy, and can effectively reduce the occurrence rate of traffic accidents.

The invention discloses a driver fatigue monitoring device based on multivariate information fusion and a monitoring method thereof. The device comprises a digital signal processor, a camera head with a filter, a rectangular ultrared LED light source module mounted on a car windshield, a speaker module and a sensor module comprising an angular sensor and a pressure sensor, wherein the camera head, the rectangular ultrared LED light source module, the speaker module and the sensor module are respectively connected with the digital signal processor. The monitoring method comprises four procedures, namely eye characteristic identification, view line track, driving activity monitoring and fatigue characteristic judgment which merges the fatigue judgment results of the eye characteristic identification, the view line track and the driving activity monitoring to accurately judge the fatigue states of a driver. The invention utilizes an information merging technology to further develop and improve a fatigue driving detection technology, can objectively, rapidly and accurately judge the fatigue state of the driver in real time and avoids traffic accidents caused by fatigue driving.

The invention relates to a control method of a bus arrival time prediction model, comprising the following steps: (1) firstly establishing a historical database of the bus operating state; (2) training historical data by a BP (backpropagation) neural network method to derive the optimal mean travel time of a bus from a departure point to an electronic stop board; and (3) introducing dynamic operating information of the bus to modify the optimal mean travel time derived by the BP neural network method. Compared with the prior art, the invention not only can accurately predict the bus arrival time under a normal operating condition of the bus, but also can accurately predict the bus arrival time under complex operating conditions of traffic jam, traffic accidents, bad weather conditions, crossing of more traffic light intersections, operation in rush hours or slack hours and the like, and also can automatically update parameters in the prediction model according to the latest historical data of bus operation.

The invention relates to a driver fatigue detection method based on face video analysis, belonging to the field of vehicle active safety and mode recognition. The method comprises the steps of: carrying out face detection on a face image to be detected for primarily positioning local organs, such as eyes, nose and mouth; further obtaining face characteristic points positioned accurately; and finally, on the basis of an accurate positioning result of multiple frames of face characteristic points to be detected, carrying out quantization description on a face motion characteristic, and obtaining the result of fatigue detection on a driver to be detected according to a face motion statistical indicator. The driver fatigue detection method has high reliability, has no special requirements on hardware, does not involve complex operation, and has good instantaneity so as to be applied in real time in practice. The driver fatigue detection method has better robustness on the aspects of eyeglasses wearing, face angles, nonuniform illumination and the like, and can be suitable for various types of vehicles for reminding a driver of being in a fatigue state so that traffic accidents are avoided.

The invention discloses a device and method for the detection of violation of a front vehicle and the early warning of violation of a vehicle on a road, and the device comprise a video reading module which is used for obtaining a video image of a road; a road detection and recognition module which is used for detecting a lane line of the vehicle during running, and recognizing whether the lane line is a solid line or a dotted line; a front vehicle violation detection unit which is used for judging the lane changing condition of the front vehicle, judging whether the vehicle changes the lane illegally or not according to the type of the lane line and the steering lamp information, giving an alarm to a driver when the front vehicle changes the lane illegally, and extracting the license plate information of the front vehicle' and a vehicle violation early warning unit which is used for predicting whether the vehicle changes the lane illegally or not, and giving an alarm to a driver when the vehicle changes the lane illegally. The device is low in cost, facilitates the standardization of the driving habits, facilitates the reduction of traffic accident rate, and is great in social value.

The monitoring equipment includes microprocessor, video sensor in use for monitoring site of tunnel, and communication module for communication outside. Microproceesor includes following modules: reading module for image dada in use for reading information of video image transferred from video sensor; file storage module in use for storing data collected by video sensor to storage device; real time playing module on site connected to external display device is in use for playing monitored image on site in real time. Output of the video sensor is connected to microprocessor through communication. Using all directional computer vision sensor monitors tunnel site, processes and analyzes images. Using detected variation character for fire flame in early phase, the invention finds early fire in tunnel as well as obtains traffic data including vehicle flowrate, and occupancy ratio, speed, and traffic accident etc.

The invention relates to the field of the car electronic and artificial intelligent field, and particularly discloses an active-mode intelligent safety monitoring instrument for a car and a monitoring method thereof. The active-mode intelligent safety monitoring instrument for the car comprises an embedded system (comprising a microprocessor, a monitoring program and relevant algorithm, which are cured inside a chip), a GPS module, a GSM module, an SIM card reader, an alarming device, a CCD camera, a multi-axis acceleration sensor, a power supply system (a lithium battery, a solar battery and a power supply adapter interface), an integrated circuit board, a shell (comprising a functional plate and a battery cover), an antitheft remote controller, a buckling-type rubbery-prevention remote controller and a power supply adapter. The instrument utilizes the GPS to realize the positioning, displacement bulgur prevention, speed measurement and timing, utilizes GSM to realize the auxiliary positioning and the SMS automatic alarming, utilizes the CCD combination mode to identify and monitor the fatigue driving, robbery and accident state and utilizes the acceleration sensor to detect the accident state. The instrument can realize the functions such as mobile positioning, over-speed alarming, positioning antitheft automatic alarming, positioning robbery-prevention alarming, fatigue driving prevention and warning, traffic accident automatic positioning, alarming and help, and the like.

The invention relates to a fatigue driving estimation and early-warning method and device of multi-sensor information fusion. The method comprises the following steps of: detecting the state of the face and eyes of the driver to obtain the face image information of the driver, and acquiring the driveway image information; performing fatigue estimation of the driver according to the obtained face image information of the driver; establishing a mathematical model according to the driveway image information, and judging whether the vehicle is over the line; establishing a mathematical model according to the driveway image information, and judging whether the vehicle deviates for a large angle; estimating the driving safety level according to the information obtained by the abovementioned steps; and making a decision and performing early warning according to the driving safety level. The device comprises a first image acquisition unit, a driver fatigue estimation unit, a second image acquisition unit, an over-line judging unit, a deviation judging unit, a driving estimation unit and a central processing unit. Through the invention, the traffic accidents caused by fatigue driving can be effectively reduced.

The present invention discloses a driving behavior decision system of an automatic driving public traffic vehicle. The system comprises an external environment perception module, an information fusion processing module, a driving scene determination module and a driving behavior decision module. The external environment perception module comprises a vision sensor, a laser radar, a millimeter wave radar, a GPS location module and a high-precision map. The driving behavior decision module employs a limitation state machine model, and the driving behavior decision module employs a driving behavior determination decision model based on an ID3 decision tree; and the information fusion processing module performs fusion processing of the environment information sent by an external environment perception module and sends the information after fusion processing to the driving scene determination module and the driving behavior decision module. The driving behavior decision system of the automatic driving public traffic vehicle can improve the driving safety of the automatic driving public traffic vehicle and effectively reduce the probability of traffic accidents.

The invention discloses a vehicle alarm method and device, and belongs to the field of electronic control. The method comprises: acquiring driving state information of a local vehicle, the state information indicating the driving state of the local vehicle at current time; sending the state information to other vehicles, other vehicles being any vehicles distanced within a preset distance scope from the local vehicle; receiving state information of other vehicles, sent by other vehicles; according to the state information of the local vehicle and the state information of other vehicles, determining whether the local vehicle is at a dangerous state; and when the local vehicle is at the dangerous state, emitting alarm information to indicate that the local vehicle is at the dangerous state. The vehicle alarm method and device can solve the problem of quite high traffic accident frequency, can realize the effect of reducing the traffic accident frequency, and is applied to vehicle alarm.

The invention is applicable to the technical field of communication and provides a method and a system for achieving driving safety early warning. The method for achieving the driving safety early warning includes the following steps: after being collected by an intelligent mobile unit of each vehicle, first vehicle driving information is uploaded to a cloud server; the cloud server first grades driving behaviors of each driver in a preset time period according to the first vehicle driving information, so that driving grading data of the vehicle driven by each driver are obtained; then driving grading data of other vehicles in a current vehicle peripheral preset range in a previous preset time period are obtained according to received longitude and latitude data of the current vehicle location; finally, when the driving grading data are lower than a preset driving grading value, second vehicle driving information of a vehicle with unsafe driving behaviors is sent to the intelligent mobile unit of the current vehicle to warn the driver of the current vehicle to drive carefully. The method and the system for achieving the driving safety early warning are simple in implementation and capable of effectively reducing traffic accident risks.

The invention discloses a driving path planning method for vehicle navigation. The method comprises a road cutting system, a driving time computing system and a driving path optimization system. The method is characterized in that the road cutting system comprises a data analysis system and a driving scheme planning system, and cutting the driving path into traffic lights, crossroads and road sections which are formed by using places where the speed limit, driveway number and road name change as the nodes; the vehicle driving path is composed of the road sections, and the road sections in the driving path are numbered; when traffic jams, traffic accidents, road blocks and other conditions appear in the driving path, the real-time traffic conditions change, and the original planned path is possibly not the fastest path; and the path is replanned to select the fastest path as the optimal driving path, thereby enhancing the navigation efficiency and saving the time.

The invention relates to a device and a method for automatically monitoring a telephone call behavior of a driver when driving and belongs to the fields of intelligent traffic and aided driving. The device comprises an image acquisition device, a calculating device, a warning device and a wireless transmission device. The method comprises the following steps of firstly acquiring a head and nearby area image of the driver, secondly, obtaining the positions of the face and both hands of the driver in the image by skin color detection, and classifying by a support vector machine to determine whether the driver makes a telephone call or not; warning the driver if the driver makes the telephone call; uploading the image that the driver makes the telephone call to the monitoring center of the road transport bureau through a wireless network if the warning is useless to be used as an evidence that the driver breaks the law. According to the device and the method for automatically monitoring the telephone call behavior of the driver when driving disclosed by the invention, the unlawful act of the driver can be effectively monitored, the working strength of law enforcement personnel is relieved, the working efficiency is improved, and the occurrence rate of traffic accidents is reduced.

The invention provides a driving behavior safety evaluation method based on human-vehicle-environment multiple data sources and belongs to the field of automobile safety driving research in the aspectof road transportation application. The method comprises the steps that information data of a driver, driving data of a vehicle and environmental factor data are acquired as automobile driving sourcedata; according to the automobile driving source data, related factors which influence the driving safety are analyzed, and a driving risk evaluation index system is built; through statistical analysis, an evaluation value corresponding to an evaluation index is extracted in the source data, a driving risk score of a vehicle to be evaluated is calculated and obtained, and finally the driving behavior safety grade of the vehicle is determined. The driving behavior safety evaluation method has reliable evaluation results, can prevent dangerous driving behaviors, reduces traffic accidents and improves the traffic flow.

The invention provides an inducing device and an inducing method of vehicle confluence at an intersection based on vehicle and road collaboration. The device consists of a video detector set, a roadbed computer module, a wireless router, a ring road side traffic information prompting screen and a traffic inducing band, wherein the video detector set is used for sending real-time collected video data of the vehicles on a high speed arterial road to the roadbed computer module; and the roadbed computer module is used for processing the video data to generate a control signal; and the control signal is sent to the ring road side traffic information prompting screen by the wireless router to respectively display and convert the modes of an LED lamp. The inducing method comprises the followingsteps of: obtaining the real-time speeds and real-time distances of the moving vehicles by processing the traffic video flow of the vehicles on the high speed arterial road; and generating the control signal, wherein the control signal is displayed by the traffic information prompting screen and is used for controlling the mode conversion of the LED lamps of the traffic inducing band. The invention is capable of effectively avoiding the traffic accidents on the intersection of the ring road and the high speed arterial road.

The invention discloses a communication device for avoiding risks among vehicles and a data processing method thereof, belonging to the vehicular communication field. The device comprises a sensor unit, a control unit, a memory unit, a wireless data transmit-receive unit, a display unit, a pre-warning unit, a power supply, a power interface and a reserving communication interface; each unit is connected through data lines and power lines. The sensor unit collects the driving state data of vehicles and transmits the driving state data to the control unit; the data transceiving unit transmits the driving state information to the flank vehicles in real time and synchronously receives driving state information of vehicles; the control unit comprehensively judges the driving state date betweenvehicles to form judging results according to preset conditions, categories of danger and threshold value scope, and sends out control information to the pre-warning unit, and controls the informationtransmission to an opposite side device. In the invention, real time wireless communication among vehicles can be realized; and driving state information of vehicles and dangerous information can bereceived and transmitted mutually. The device can actively remind a driver to avoid danger in advance, thus avoiding traffic accident occurring.

The invention discloses an automatic recognition method of the congested traffic state and the position of a congested point of a city expressway. The method comprises the following steps that 1, threshold values of traffic parameters of divided lanes of all monitored sections are set; 2, videos/images of vehicles in a field of view are collected and converted to generate traffic data informationof the divided lanes, and the traffic data information of the divided lanes is transmitted to a traffic information processing server; 3, analysis of the congested state and the position of the congested point is conducted by the traffic information processing server by means of real-time traffic data information and a traffic parameter threshold value database; 4, according to user setting, an analysis result and a corresponding suggestion are transmitted to a user terminal. By means of the method, the section position and the lane where a traffic event such as goods dropping or malicious queue jumping or a fault shutdown/illegal parking behavior or a traffic accident happens can be fast judged in first time so that a traffic management department can conveniently and reasonably deal in time, subsequent worse traffic congestion can be avoided, and the rate of secondary accidents can be lowered.