2300results about How to "Reduce traffic accidents" patented technology

The present invention is a monocular computer vision technique. The technique is used to aid road vehicle driving for safety. An camera (e.g., camera or TV camera or camcorder) is installed in a vehicle facing to the road in front of the vehicle to capture a sequence of road / scene images for analyzing the driving situation. The situation includes the distance to a front obstacle or vehicle, the speed of the vehicle, and the left / right location of the vehicle in a road lane.

A novel sleep regulating pharmaceutical formulation is introduced, typically implementing two principal drugs having actions which are reversive to one another, yet incorporated into a unitary solid dosage, and prepared for oral administration before bedtime. Usually, structure is configured to initially release a calmative or other sleep-compatible substance by prompt dissolution. The initial release is followed by a specific period of delay, which in basic formulations entails no release of any drug, and which allows a nominal interval of sleep. At the terminus of the delay, a final agent is released to induce wakeup. Incorporation of agents of opposite action within a unitary dosage form renders utility which is uniquely appropriate to the invention. In a preferred embodiment, delay of release and final delivery of wakeup agent are arranged by a dialysis membrane which eventually bursts as a result of osmotic pressure generated by a hydrophilic core.

The invention discloses intelligent traffic dispatching and commanding and information service method and system based on dynamic information. The method comprises the following steps of: collecting basic traffic data; normalizing the time, the space and the attributes of the basic traffic data; periodically evaluating and predicting the traffic state of the entire road network; periodically comparing the traffic state evaluation results and the historical data of the road network, and sending a warning prompt to a commander in case of exceeding a certain threshold; responding to a confirmed warning prompt, and creating a breakdown lorry dispatching scheme; and responding to the confirmed warning prompt and the evaluated and predicted road network traffic state, judging whether a serious traffic jam occurs, and creating and releasing abnormal traffic information or normal traffic information. The invention can increase the utilization ratio of the basic traffic data, can enhance the contact between the urban traffic command center and the 110 command center, and can improve the working efficiency of personnel in the command centers and the travelling efficiency of travelers.

The invention discloses a system for achieving fatigue driving judgment on the basis of image processing and fusion between the heart rate characteristic and the expression characteristic. The system comprises an information collection device, an information processing device and an early warning device. The system is characterized in that the information collection device is used for collecting a driver face image sequence, and providing the driver face image sequence for the information processing device; the information processing device is used for carrying out processing and analysis on the collected driver face image sequence to obtain expression characteristic information and heart rate characteristic information of a driver, and carrying out information fusion on the expression characteristic and the heart rate characteristic so that whether the driver is in the fatigue state or not can be judged; the early warning device is used for sending an instruction to an early warning prompting device according to the early warning strategy and the fatigue level when the driver is in fatigue driving, and carrying out prompting and early warning on the driver. According to the system for achieving fatigue driving judgment on the basis of image processing and fusion between the heart rate characteristic and the expression characteristic, the heart rate characteristic and the expression characteristic are combined through an image processing method, a fatigue driving judgment algorithm is achieved, a vehicle-mounted fatigue driving judgment device is obtained, and accuracy, robustness and reliability of the system for achieving fatigue driving judgment are improved.

The invention discloses an on-vehicle traffic light assisting device in the technical field of intelligent transportation, which comprises a traffic light map module, a global positioning system (GPS) module, an image sensor, a traffic light detection and identification module, a lane identification module and a traffic light state display and prompting early warning module. The on-vehicle traffic light assisting device solves the problems of safe driving of groups with visual disturbance such as color weakness, color blindness and the like, can reduce the probability of traffic accidents caused by the running of the red light of a driver under exceptional conditions, and improves transportation efficiency at crossings.

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 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 discloses a safe vehicle passing system comprising an ambient road environment sensing system and a vehicle-mounted terminal. The ambient road environment sensing system is used for acquiring sensing information of an ambient environment of a road in real time, processing the sensing information to obtain driving assistance information of the vehicle, and sending the driving assistance information of the vehicle to the vehicle-mounted terminal. The vehicle-mounted terminal is used for receiving the driving assistance information of the vehicle and planning a driving track based on the driving assistance information of the vehicle and information collected by the vehicle. In addition, the invention also discloses a safe vehicle passing method based on the safe vehicle passingsystem. According to the invention, information various participants on road is obtained by scanning; near road environment information is provided for vehicles having V2X receiving devices fully; andthus the road right and safety of the vulnerable road user can be protected fully.

The invention is applicable to the technical field of communication, and provides a traffic safety prompting method, which comprises the steps as follows: when a mobile terminal is operated, the current position of the mobile terminal is detected, and a GPS unit is preferably started to detect the current position; a traffic dangerous area close to the current position is obtained; and if the distance between the current position of the mobile terminal and the traffic dangerous area reaches a preset distance threshold value, a traffic safety prompt is sent to a user. Accordingly, the invention further provides the mobile terminal. Therefore, the traffic safety prompting method can serve the function of traffic safety prompting during the operation of the mobile terminal, so as to ensure the user's safety.

The invention brings forward a traffic label identification method of vehicle-mounted laser scanning point cloud data. The method comprises the following steps: 1, point cloud real-time preprocessing; 2, point cloud structure feature obtaining; 3, multi-scale Markov random field point cloud clustering; and 4, traffic label identification. The method has the following advantages: "surface-shaped", "linear-shaped" and "scattered" features of point clouds are reinforced, differences between points are enhanced, and while under-segmentation is avoided, reasonable segmentation of the scale of a traffic label component can be rapidly realized; classification and identification of a traffic label can be conveniently realized from point cloud data of deficiency of a part of the traffic label, caused by ground object shielding or ground object self-occlusion; the method can effectively satisfy the requirements for rapid extracting, monitoring and identifying city components at present, can be conveniently promoted to the industry of manned or unmanned navigation and barrier avoiding based on computer vision, helps a driver to perform navigation and decision-making under complex road conditions, and effectively reduces the traffic accident probability.

The invention relates to an intelligent traffic system-based intelligent vehicle lane changing decision-making method. The method comprises the following steps of firstly, parsing the received broadcast data of an intelligent traffic system by an intelligent driving system, and extracting the event information; secondly, completing the coordinate conversion of a road event by the intelligent driving system, and obtaining an event influence factor according to the event information; finally, according to the event overall influence factor and the judgment result that the current road environment allows the lane changing decision of a vehicle, allowing the lane changing path re-planning, simultaneously calculating the desired behavior of the vehicle and changing the lane of the vehicle. According to the technical scheme of the invention, according to the attribute of a road event ahead of the vehicle and the environmental information around the vehicle, the influence factor of the current vehicle driving road is calculated. Therefore, the necessity, the security and the reliability of the lane changing decision of an automatic driving vehicle are evaluated. Meanwhile, preparations are made in advance before the lane changing of the vehicle.

A driving monitoring device and method includes controlling a camera to capture a face image of a driver, identifying the face image to determine if the driver is awake, and controlling a camera to capture a first image of the steering wheel. The driving monitoring device and method further includes identifying a steering wheel region and two hand regions, confirming one or more sub regions of the steering wheel region corresponding to the two hand regions, determining that the driver drives the vehicle inappropriately if the confirmed sub regions do not match standard positions, and outputting alert signals to prompt the driver.

The invention discloses a lane keeping and automatic centering system and method based on a deviation prediction algorithm. A lane keeping and automatic centering controller detects lane marking line information of a road ahead of a vehicle in real time through a camera; a vehicle body controller acquires current steering lamp information and headlamp information of the vehicle, and a vehicle body electronic stabilization system acquires current vehicle speed information of the vehicle; an electric power steering system acquires current steering angle information of the vehicle; an expected steering angle of the current vehicle is worked out through a deviation prediction algorithm and a PID control algorithm in the lane keeping and automatic centering controller, an expected steering angle signal is transmitted to the electric power steering system through a CAN to request for active steering, and the electric power steering system receives the expected steering angle signal and switches the current steering angle into the expected steering angle by rotating a steering wheel; meanwhile, a warning signal and a man-machine interaction signal are generated and transmitted to a vehicle warning system and a man-machine interaction interface through the CAN. The system and method can achieve the lane keeping and automatic centering functions.

The invention relates to a vehicle urgent information sending mechanism and a system based on a DSRC, when a vehicle encounters a unusual condition during driving, a urgent information is automatically produced, the urgent information is sent in preference to other information. Vehicles which receive the urgent information determine whether the urgent information is transmitted at once according to respective retransmission distance threshold. The vehicle urgent information sending mechanism and the system guarantee emergency message to be rapidly and steadily sent after a vehicle has an accident. Corresponding retransmission distance thresholds are determined according to different existing environment, network spending is reduced, and the urgent information is further guaranteed to be rapidly sent simultaneously. The whole system of the invention substantially comprises a data vehicle positioning module, a data acquisition module, a memory, a processor and a data sending and receiving module.

The invention discloses a vehicle real scene navigation system and method. The system comprises a vehicle navigation terminal and a 'cloud' server, wherein the vehicle navigation terminal is used for acquiring the information of image / position data; the vehicle navigation terminal also comprises a data acquisition module, a data fusion processing module connected with the data acquisition module, an augmented reality processing module connected with the data fusion processing module, and a real scene navigation module connected with the augmented reality processing module; the 'cloud' server is used for receiving the information of image and position data of the vehicle navigation terminal and returning the image information and the position information which are processed by a 'cloud' technology to the vehicle navigation terminal; the 'cloud' server is in two-way connection with a wireless communication module; the wireless communication module is respectively connected with the data acquisition module and the data fusion processing module.

The invention discloses a real time panorama video splicing method based on ORB characteristics. The real time panorama video splicing method based on the ORB characteristics comprises the following steps: acquisition of multipath synchronized video data is started; pretreatment is carried out on images in various paths at a same moment, and color images are changed into gray scale images of 256 levels, and a de-noising processing is carried out on the images through employing a Gaussian filter; the ORB feature extraction algorithm is employed to carry out feature point extraction on the images in the various paths at the same moment, and ORB characteristic vectors of the feature points are calculated; through the adoption of the nearest neighborhood matching method and the RANSAC (random sample consensus) matching method to determine a homography matrix array between corresponding frames of the synchronized videos; frame scene splicing is carried out according to the homography matrix array; and finally spliced videos are output. The real time panorama video splicing method based on ORB characteristics and the apparatus are advantageous in that: the feature extraction speed and the coupling effect are improved in the image splicing process.

The invention discloses a multi-view automobile all-around auxiliary driver assistant system, and the system comprises a plurality of cameras, an information processing module, and an output module. The front, back, left and right sides of a vehicle body are provided with one binocular camera and three fisheye cameras for collecting the images of the periphery of the vehicle body. The informationprocessing module carries out the preprocessing, texture mapping, brightness correcting, image fusion and view transformation of the collected images, and carries out the preprocessing and image matching of the images collected by the binocular camera to obtain the distance from the vehicle body to a front obstacle. The output module displays a formed 360-degree three-dimensional all-around imageof an automobile on vehicle-mounted display equipment, and achieves the alarm of a dangerous distance.

The present invention provides a vehicle safety driving control method and a vehicle safety driving control system. The vehicle safety driving control method comprises the steps: a vehicle-mounted intelligent terminal receiving body data of a driver detected and uploaded in real time by an intelligent wearing device; the vehicle-mounted intelligent terminal sending a message to a vehicle controller when the vehicle-mounted intelligent terminal judges that one or more abnormal physical data of the driver exceed the warning limits; and after receiving the message sent by the vehicle-mounted intelligent terminal, the vehicle controller controlling the vehicle to perform initiative safe driving. According to the vehicle safety driving control method and the vehicle safety driving control system, the intelligent wearing device is interconnected with the vehicle-mounted intelligent terminal, the vehicle is changed into active driving when the driver has a serious abnormal physical condition, so that traffic accidents caused by the abnormality of the physical condition of the driver can be effectively prevented.

The invention discloses a detecting system and a detecting method for fatigue driving of a driver, and belongs to the technical fields of image processing and pattern recognition. The system comprises a human face localization module, a human eye state judging module, a mouth state judging module and a fatigue determining module, wherein the human face localization module is connected with the human eye state judging module and the mouth state judging module for communication; the determining result is sent to the fatigue determining module. The detecting method comprises the following steps: 1, localizing and detecting the human face; 2, judging the human eye state; 3, judging the mouth state of the driver; 4, judging the mental state of the driver. The detecting system and the detecting method combine two obvious facial characteristics of the driver, namely the human eyes and the human mouth, for complex judging; compared with recognition detection using a single method, the method provided by the invention has a higher recognition accuracy; through determining the mental state of the driver, the driver under fatigue state is reminded to stop the vehicle for rest, so that traffic accidents are effectively reduced, and the safety of life and property is strongly guaranteed.

The invention discloses an unmanned pedestrian trajectory prediction method based on a convolutional neural network. The method comprises the steps of processing sample data, obtaining an input information sequence, constructing and optimizing the network, and testing and evaluating an optimal model. Real-time video collected by a visual sensor on an unmanned vehicle is segmented into images withframes as units to serve as sample data, target crowds about to pass through zebra stripes in the sample data are divided into three classes, and pedestrian position-proportion information sequence, the pedestrian skeleton information sequence and the motion sequence of the visual sensor,are obtained from samples;, ; the information sequence is input into a convolutional neural network for training to obtain a preliminary prediction model, and after testing and evaluation, finally a prediction track and an action category are output. According to the method, the convolutional neural network isadopted to predict the trajectory of the unmanned pedestrian, so that the probability of pedestrian collision in the road driving process of the unmanned vehicle can be effectively reduced.

The invention provides a driving behavior analysis method based on a vehicle-mounted monitoring and management platform. The method comprises the steps that: a terminal collects vehicle state data; the terminal packages and uploads the vehicle state data; a front-end processor transmits data uploaded by the terminal to a service server; the service server stores the initial vehicle state data into a database; the service server calculates a driving behavior analysis result; after the driving behavior analysis result is obtained, a monitoring work station is informed of the driving behavior analysis result; after driving behavior analysis result is obtained, the terminal is informed of the driving behavior analysis result; and the driving behavior analysis result is stored in the database. According to the invention, in a driving behavior analysis model generation process, many factors such as different road conditions, weathers, different road segments and different drivers are considered, and the rationality of practical application of an original single driving behavior analysis model is improved.

The invention relates to the field of intelligent transportation, in particular to a vehicle collision preventing method based on collaborative relative positioning technologies. The positioning information measurement and exchange on the basis of a V2V network, an enhanced relative positioning method on the basis of pseudorange, a vehicle self-prediction positioning and navigation method based on Kalman filtering, and a vehicle collision preventing judgment mechanism based on the relative distance are included in the method. The vehicle collision preventing method based on the collaborative relative positioning technologies includes the steps that information between near vehicles is transmitted through the V2V network, the relative distance between the vehicles is calculated on the basis of the pseudorange or Kalman filtering, and a vehicle alarm mechanism is triggered when the relative distance is smaller than a safety threshold value. The vehicle collision preventing method based on the collaborative relative positioning technologies has the advantages that a collaborative relative positioning model is built according to the multipath transmission phenomenon of urban roads, satellite signals with low spatial correlation are removed according to the correlation, and the vehicle position is predicted according to a Kalman filtering method when a GPS signal interrupts. By means of the collaborative relative positioning method, the probability of occurrence of traffic accidents of urban roads can be reduced, and prediction accuracy is improved.

The invention discloses an anti-collision method and system under different vehicle conditions, and belongs to the technical field of vehicle safety. The method includes the steps that the vehicle conditions are judged according to the vehicle speed and the corresponding safety distance, and the trajectory calculation quantity, the trajectory computing cycle, and the information sending cycle are determined according to the different vehicle conditions, vehicle trajectories are calculated according to the trajectory calculation quantity, the trajectory computing cycle and vehicle running states, the vehicle trajectories are periodically broadcast, anti-collision detection is conducted through the comparison between the vehicle trajectory of one vehicle and the vehicle trajectories of other vehicles, and if it is detected that a collision possible occurs, an early warning signal is output. The anti-collision method and system under the different vehicle conditions can achieve distinguishing of different risk levels of the vehicles through a vehicle condition determination strategy, targeted anti-collision warming for dangerous vehicles can be conducted, information transmission amount can be reduced through scattering the trajectory calculation to each vehicle, the decision making early warning speed test is improved, the occurrence of the vehicle collision is effectively prevented, and traffic accidents are reduced.

The present invention provides an intelligent full-automatic logistics conveying system and an application thereof. The system is applied to express and small piece logistics conveyance of each section between cities and within a city. The system is a sealed pipeline; a running track and an electricity transmission track are arranged in the pipeline; a trolley runs on the track; the pipeline consists of a main pipeline and branch pipelines; each branch pipeline is provided with a main freight station; a plurality of branch stations are arranged on the main pipeline; the main freight station and the branch stations are all connected to the main pipeline; and a station identification sensor and a vehicle intelligent identification system are arranged on the running track in the main pipeline and are used for identifying the position of the trolley and controlling the trolley to automatically drive into the main freight station on the branch pipelines or the branch stations on the main pipeline, corresponding to a trolley destination. The intelligent full-automatic logistics conveying system provided by the present invention has far lower cost than automotive transportation, so that the transportation cost is greatly reduced; and the system can run uninterruptedly in all weather for 24 hours securely and reliably to efficiently transport goods at a high speed.

The invention relates to a mountainous road traffic safety dynamic early-warning system which comprises a traffic accident analysis early-warning module, a traffic flow detection module, a road alignment module, a weather forecast module and a variable traffic sign LED display screen, wherein the traffic flow detection module, the road alignment module, the weather forecast module and the variable traffic sign LED display screen are connected with the traffic accident analysis early-warning module. The traffic flow detection module is used for dynamically collecting traffic flow data on the road, the weather forecast module is used for dynamically collecting weather conditions, the road alignment module conducts static collection and is used for collecting the geometrical features of the current road alignment, and the traffic accident analysis early-warning module conducts data real-time interaction with the traffic flow detection module, the weather module and the road alignment module. The mountainous road traffic safety dynamic early-warning system is mainly used for mountainous road traffic safety early-warning and is installed on a place where accidents frequently occur, and traffic accidents such as tailgating, handrail collision and the like when vehicles run on the mountainous road are avoided according to traffic controlling strategies of device output vehicle speed limit, traffic flow control and the like.

The invention relates to embedded techniques. In order to solve the problem that the traditional warner or similar product is aimed at fatigue driving and can only remind drivers, the invention provides an unsafe state early-warning device and method for the drivers. The invention has the technical scheme that the unsafe state early-warning device for the drivers is characterized by comprising a control processing module, an alcohol concentration detecting module, a fatigue driving detecting module, a health state detecting module and an automatic parking module; the control processing module is connected with the alcohol concentration detecting module; the fatigue driving detecting module is connected with the control processing module; the health state detecting module is connected with the control processing module; and the automatic parking module is connected with the control processing module. The unsafe state early-warning device and method for the drivers have the beneficial effects of reducing traffic accidents caused by unsafe driving, and being suitable for vehicles.

The invention discloses a safety vehicle distance alarming system based on the road environment. The safety vehicle distance alarming system comprises a weather condition detection module, an image acquisition module, an environmental analysis module, a vehicle speed detection module, a vehicle distance detection module, a control module and an alarming module. The environmental analysis module isconnected with the weather condition detection module and the image acquisition module to judge the road surface where a vehicle travels. The control module is connected with the vehicle speed detection module, the environmental analysis module and the vehicle distance detection module and calculates the relation between the theory safe vehicle distance and the actual vehicle distance according to the received vehicle speed, the vehicle distance and the road surface condition, and if the theory safe vehicle distance is larger than the actual vehicle distance, the control module sends an alarming signal to the alarming module. The road surface where the vehicle travels is detected, the relation between the theory safe vehicle distance and the actual vehicle distance is combined, then alarmreminding is conducted, the road surface environment of vehicle actual travelling is fully considered, the characteristics of fast detection speed and alarming sensitivity are achieved, traffic accidents are reduced, and safety of vehicle driving is improved.

The invention discloses a tunnel lighting closed-loop feedback control method and system. The method includes the following steps that S1, brightness information, traffic flow information, vehicle speed information and vehicle existence information inside and outside a tunnel are collected; S2, according to the data information collected in S1 and road tunnel lighting design details, set brightness values needed for all road sections inside the tunnel are calculated; S3, an image of a road surface inside the tunnel is obtained through a camera, and actual illumination values of all points inside the tunnel and the illumination distribution condition of the whole road surface are calculated based on the grey scale of the image; S4, PID closed-loop feedback adjustment is performed according to the set brightness values and the actual illumination values, whether the actual output brightness of lamps inside the tunnel at the present meets the requirement or not is judged, if not, new brightness values are calculated, and the brightness values output after the PID closed-loop feedback adjustment are converted into control order information of brightness of the lamps inside the tunnel; S5, a dimming controller converts an order command signal of the brightness of the lamps into a corresponding pulse signal, and the output brightness values of the lamps inside the tunnel are adjusted through a PWM dimming mode.

The invention provides an electric power steering system. The system comprises a signal acquisition unit, a control unit and an execution unit, wherein the control unit is used for receiving a signal output by the signal acquisition unit in real time, judging whether to enter an active steering mode or an auxiliary steering mode according to the signal, transmitting a command to the execution unit according to the signal and controlling the execution unit to act correspondingly. The invention also provides an automobile using the electric power steering system and a method for controlling the steering of a vehicle based on the electric power steering system. According to the system, the method and the automobile, an auxiliary steering control function, an aligning power control function, an aligning damping control function and other functions of the conventional electric power steering system can be realized, ambient environment information of the vehicle can be detected, and an active steering control function can be realized under an emergent working condition, so that traffic accidents can be effectively prevented.