2331results about How to "Avoid traffic accidents" patented technology

When the vehicle approaches an intersection, traffic signals located at the intersection are displayed on an intersection view, a traffic signal to be considered is displayed in a manner so as to be identifiable from the other traffic signals, arrows in the same directions as those of arrow signals for the traffic signal to be considered are displayed; and an arrow corresponding to an arrow signal permitting the vehicle to proceed in the direction of a guidance route is displayed in a manner so as to be identifiable from the other arrows.

The invention discloses a vehicle safety driving early warning method based on vehicle internet. Vehicle information data is sent to a network background server through a vehicle-mounted wireless communication unit, the network background server acquires information data of dangerous points on a road section where a vehicle is located according to the vehicle information data and sends the information data at the dangerous points on the road section to the vehicle-mounted wireless communication unit, a vehicle-mounted central processing unit compares obtained dangerous point information with self-vehicle information, a safety distance model is called to generate early warning parameters, and a vehicle-mounted alarm unit, a vehicle-mounted display unit and an electronic control braking system are controlled to perform early warning response. The vehicle safety driving early warning method based on the vehicle internet has the advantage that a network background server terminal provides the dangerous point information for a vehicle-mounted terminal, the vehicle-mounted terminal acquires and analyzes vehicle geographical position information and the dangerous point information on the road section where the vehicle is located in real time, the vehicle-mounted alarm unit, the vehicle-mounted display unit and the electronic control braking system are controlled to perform the early warning response, and the vehicle safety driving early warning method based on the vehicle internet has reliability and high efficiency of vehicle network data communication.

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 relates to a rollover prevention dynamic detection method for a wagon on a curved conduit and a warning device. The method comprises the following steps: 1, installing a rollover prevention dynamic detection method for a wagon on a curved conduit which comprises a steering wheel rotation angle measuring device, a yaw angle velocity measuring device, an inclination angle measuring device and an electronic control unit which comprises a single chip microcomputer, wherein a solidification program of the single chip microcomputer is equipped with a centroid height dynamic detection algorithm module and a rollover prevention warning algorithm module, and a rollover alarming range is arranged in the rollover prevention warning algorithm module. 2, collecting steering wheel rotation angle singles, vertical yaw angle velocity measuring singles of the wagon, side-tipping angle singles of a carriage of the wagon, the side-tipping angle singles of a rear shaft of the wagon and vertical speed singles of the wagon. 3, a lateral acceleration and a centroid height of the wagon is counted through the centroid height dynamic detection algorithm module. 4, counting a rollover acceleration threshold value through the rollover prevention warning algorithm module according to the centroid height. 5, sending a corresponding alarm command according to a difference value of the lateral acceleration and the rollover acceleration threshold value of the wagon and the reset rollover alarm range.

The invention discloses a system and a method for preventing pedestrians from collision based on vehicle-road cooperation. The system comprises a vehicle-mounted module, a road-side module, a vehicle-road communication module, a central processing module and a display and control module. Information interaction between the road-side module and the vehicle-mounted module is realized by use of the vehicle-road communication module, and the data of the road-side module and the vehicle-mounted module both are sent to the central processing module; the central processing module is used for fusing and processing multi-source information and sending an instruction to the display and control module to execute a collision preventing measure. The system and the method for preventing pedestrians from collision based on vehicle-road cooperation have the advantages that more accurate pedestrian information within a wider range can be obtained in a vehicle-road cooperation manner and then the pedestrian-vehicle collision risk is determined, and furthermore, the corresponding collision preventing measures can be adopted, and therefore, the purpose of safe and intelligent driving aid can be achieved.

A safe driving monitoring device capable of monitoring physical and psychological states of a driver belongs to the field of safe driving of automobiles and solves the problem that an existing safe driving device only detects some single index, does not consider changes of the physical and psychological states of the driver and cannot carry out corresponding reaction movements when the states of the driver change. A neck pulse sensor detects pulse signals, a pressure sensor detects signals indicating whether the driver sits in an automobile, an air bag pressure sensor detects hand gripping signals or foot power signals of the driver, a breathing signal detection circuit detects breathing signals of the driver, a non-contact temperature measuring sensor detects body-temperature signals, an alcohol concentration measuring sensor detects alcohol concentration signals, an ear type sphygmomanometer detects blood pressure signals, and a distance measuring sensor detects relative distance signals. All the signals are analyzed by a control and analysis processor, and the control and analysis processor outputs analysis results to an alarming module so as to give an alarm.

Provided is a system for alerting users to help them avoid or prevent traffic accidents by mapping and storing traffic accident relevant data so as to alert a user in order to avoid potential accidents based on location and user type. User type may be a vehicle user, motorcyclist, bicyclist or pedestrian. Traffic accident relevant data comprises at least one of vehicle type data, motorcyclist type data, bicyclist type data, or pedestrian type data. Data corresponding to at least one relevant user type is retrieved and conveyed through notifications or customizable notifications based on user preference. Accuracy and validity of notifications is maintained by integrating user engagement panels for collection of information. The collected information is further subject to user ratings, where the database is updated or otherwise modified with the collected data that has been validated, and a reward may issue to users contributing valid traffic accident-related data.

The invention belongs to the technical field of street lamp illumination, and in particular mainly relates to a street lamp energy-saving and managing system based on internet of things. The system mainly consists of a main monitoring center, a remote terminal unit (RTU) and wireless sensor nodes, wherein the wireless sensor node which is responsible for detecting and controlling single lamp street to operate and executing a lamping switching-on and switching-off operation by receiving an instruction sent by the RTU is arranged on each street lamp, the wireless sensor nodes are connected with the RTU through a GPRS (General Packet Radio Service) module, and the RTU arranged at a transformer workstation is respectively connected with the main monitoring center, a server and a display device through Internet. The street lamp energy-saving and managing system disclosed by the invention can realize illumination as required, high efficiency and energy saving and fine management, solves the problems generally existing in the current street lamp monitoring management system and has the advantages of wide application range and suitability for popularization.

The invention discloses a driving behavior analysis and driving assistance system based on OBD. The vehicle driving data and failure information are acquired through an OBD diagnostic link, a GPS and an acceleration sensor are arranged additionally, a vehicle is monitored completely, the data are transmitted to a data center in a GPRS/3G/4G manner, the center classifies and summarizes the data before performing corresponded processing and feeds back the corresponded information including vehicle routine data flow, driving behavior analysis and other warning information to a vehicle user in a manner of the webpage or mobile communication so as to assist a driver, and the driver can drive safely and economically in an environment-friendly manner.

The invention relates to a signal light linkage control system of an express way ramp outlet and an adjacent intersection in a city. The linkage control system is provided with a linkage control unit which is used for carrying out linkage controlling on an express way ramp outlet signal light at the connecting part of the express way outlet ramp and a side road as well as an intersection signal light arranged on the down stream of the express way outlet ramp adjacent to the express way outlet ramp according to the traffic flow data of the express outlet ramp, thus the traffic jam at the express way outlet ramp is effectively relieved. In addition, the linkage control system guarantees that the travelling of vehicles on the side road on the upper stream of the outlet ramp is not limited by the signal light through controlling the signal light on the side road on the upper stream of the outlet ramp under the condition that the outlet ramp has no traffic jams, thereby the traffic transportation capacity of the side road is effectively improved.

Provided is an artificial intelligence system for providing road risk information and a method thereof. The system for providing road risk information includes: an information collection unit for receiving various road state information acquired from a vehicle device; an information processing unit for performing image processing on the collected road state information, and converting a result of the image processing into a predefined grayscale image; an information learning unit for learning the converted predefined grayscale image on the basis of a predetermined learning model based on deep learning, and recognizing the road risk information on the basis of a result of the learning; and an information classification unit for classifying the road risk information from the road state information on the basis of a result of the recognition, and detecting road surface defects on the basis of a result of the classification.

A vehicle brake effect motoring and alarm system belongs to the technical field of vehicle electron and safety. The outputs of a vehicle brake pedal displacement sensor and a vehicle brake pressure sensor are respectively connected with the input of an information collection and control unit; the output of the information collection and control unit is connected with the signal input of an alarm device. Due to being corresponding to the stroke of a brake pedal, the information collection and control unit carries out evaluation on the brake effect risk degree R of the vehicle according to a vehicle brake pressure signal BPact that is actually collected by the information collection and control unit as well as a benchmark brake pressure signal BPline2, and gives an alarm to a driver by transmitting a signal to an alarm device according to the evaluated risk degree R. The information collection and control unit is Motorola MC9S08DZ60. The vehicle brake effect motoring and alarm system improves the reliability of the system, has great help on preventing the traffic accidents caused by the losing and reducing of the brake effect, can adopt grading alarm according to the damaged degree of the brake performance, is simple in system structure, is easy to be achieved and has low cost.

The invention belongs to the technical field of a path planning for unmanned vehicles, and especially relates to a dynamic trajectory planning method for an unmanned vehicle based on local optimum. The method is characterized by, according to different positions and corresponding different operating conditions of obstacle vehicles on the road, selecting an optimal reference trajectory and carryingout dynamic trajectory planning; analyzing unmanned vehicle lane change intention generation and lane change executable conditions, and according to the prediction of the position and speed of surrounding obstacle vehicles, carrying out fitting to obtain a locally optimal lane change trajectory at the initial moment when obstacle avoidance lane change is decided, and serving the optimal trajectory as a local reference trajectory; and generating a trajectory cluster that can be driven by the unmanned vehicles and combining designed velocity distance and cost functions with a loss function, andselecting an optimal trajectory from the trajectory cluster through nonlinear model predictive control. The method can realize obstacle avoidance, lane change and overtaking in various complex conditions, and also takes into account the comfort of passengers in the unmanned vehicles and road driving efficiency and the like.

The invention provides a traffic safety auxiliary control method and a traffic safety auxiliary system and belongs to the field of automobile safety. The invention can detect the safe distance between an automobile with the system and an automobile in the front in real time, timely prompt a driver by voice, and control the automobile to operate in an forced manner if necessary; and in overtaking, the invention can calculate the overtaking safe distance in real time, prompts the driver to carry out overtaking or not, and controls the automobile to operate in the forced manner if necessary, so that the vehicle safety is greatly ensured. The traffic safety auxiliary system consists of a signal acquisition unit, a signal amplification and shaping unit, a processor unit and an actuator unit; the traffic safety auxiliary system is communicated with an anti-locked braking system, an electronic steering column lock, an electronic power-assisted steering system and an automobile body control system through a vehicle bus.

The invention relates to a vehicle detecting, tracking and identifying system based on multi-camera. The system comprises a plurality of cameras in different places, a detecting module, a tracking module, a feature extraction module and an identifying module, wherein the output ends of cameras are connected with the input end of the detecting module; the output end of the detecting module is connected with the input end of the tracking module; the output end of the tracking module is connected with the input end of the feature extraction module; and the output end of the feature extraction module is connected with the input end of the identifying module. By detecting the traffic flow condition of the road, the invention can provide data support for traffic control, and the traffic managercan formulate a reasonable strategy to avoid traffic accidents or traffic jams.

A light emitting handle includes a handle body, a light emitting device mounted on the handle body to emit light outward, and a light guide device mounted on the handle body to guide and reflect the light of the light emitting device outward from the handle body. The light emitting handle is mounted on the door of a car or on two sides of the tail portion of a motorcycle. Thus, the light emitting handle emits light outward constantly so that the light emitting handle has a lightening effect when the car or motorcycle is turned around so as to provide a warning effect to other person, thereby preventing the car or motorcycle from incurring a traffic accident.

The invention discloses a method for ranging deep learning obstacle based on binocular vision. Firstly, the binocular camera is calibrated to obtain the camera model parameters and the geometric positional relationship between the first camera and the second camera. Then the deep learning-based faster-RCNN network is used to determine the region where the detection target is located. The three-dimensional coordinates and distance of the target in space can be determined by knowing the coordinates of the target on the image and the relative position thereof between the binocular cameras. This method can realize obstacle detection and distance measurement in the visual blind zone behind the vehicle during the vehicle reversing process. It is only necessary to install the binocular camera model on the vehicle body, and detect the distance between the obstacle and the vehicle in the environment through the deep learning target detection algorithm and the camera model. The method for ranging deep learning obstacle based on binocular vision is fast, effective and easy to install. The needs of real-time detection of blind zones in vehicles can be met, so as to pre-alarm drivers to ensurethe life and property safety of drivers.

The invention discloses a method for detecting an illegal lane change of a vehicle based on a video detection technique. In traditional detection for traffic incidents, a large quantity of annular coil detectors need to be physically embedded under roads, or ultrasonic detectors need to be installed at road side. The method provided by the invention comprises the following steps of: step (1), detecting moving vehicles; step (2), positioning the moving vehicles based on a watershed algorithm; step (3), performing kalman filter tracking based on secondary characteristic matching, wherein the step (1) comprises the steps of preprocessing, background modeling, moving object extraction and postprocessing; and the step (2) comprises the steps of inputting established background and foreground binaryzation images, performing V-S watershed algorithm on the input background and foreground binaryzation images, setting internal memory for storing statistic information, establishing field chain tables, combining minimum zones and similar zones and outputting zone statistic information of a moving object. The method provided by the invention has strong antijamming capability, can effectively eliminate isolated noise and is beneficial to extracting vehicle foreground information in a more accurate way.

The invention provides an automobile multielement driving safety protection method and equipment special for the automobile multielement driving safety protection method. The method comprises the steps that the face information and pulse information of a driver are collected, an empirical mode decomposition scheduling algorithm based on information entropy is applied, characteristic quantities capable of effectively reflecting the angry feelings, the fatigue states and the identity information of a human body in the face information and the pulse information are extracted, and the characteristic parameters of various types are combined through an intelligent algorithm so that the angry feelings, the fatigue states and the identity information of the driver can be accurately recognized. The equipment special for the method is achieved based on a DSP, Bluetooth wireless communication and other technologies, and when the device detects the abnormal feeling or driving fatigue or identity changing and other states of the driver, the driving behavior of the driver is interfered through alarming prompts, background recording and other modes, and then the driving safety of the driver is protected from multiple aspects.

The invention discloses a unit traffic supervisory system and a supervisory method thereof. A unit traffic supervisory terminal is arranged on a vehicle to record actual traffic conditions around the vehicle in real time and to send audio and video information recording traffic offences of around vehicles to a united traffic supervisory platform, and the united traffic supervisory platform checks the audio and video information sent by the united traffic supervisory terminal and forms a punishing record of a determined vehicle which breaks the law. The united traffic supervisory scheme is based on crowd-sourcing sensing, and any drivers will actively participate in supervisory work of public traffic. Final blind areas caused by insufficiency of police strength and equipment of the police system are covered, and everywhere of the public traffic is supervised.