233 results about "Impaired driving" patented technology

A system for creating a coaching session comprises one or more processors and one or more memories. The one or more processors are in communication with the event detector and configured to: receive data of a driving event from an event detector associated with a vehicle; analyze the driving event data to identify risky driving behavior; and create a coaching session in order to reduce the identified risky driving behavior. The coaching session incorporates at least a portion of the data of the driving event. The one or more memories are coupled to the one or more processors and configured to provide the one or more processors instructions.

Specifically programmed, integrated motor vehicle dangerous driving warning and control system and methods comprising at least one specialized communication computer machine including electronic artificial intelligence expert system decision making capability further comprising one or more motor vehicle electronic sensors for monitoring the motor vehicle and for monitoring activities of the driver and / or passengers including activities related to the use of cellular telephones and / or other wireless communication devices and further comprising electronic communications transceiver assemblies for communications with external sensor networks for monitoring dangerous driving situations, weather conditions, roadway conditions, pedestrian congestion and motor vehicle traffic congestion conditions to derive warning and / or control signals for warning the driver of dangerous driving situations and / or for controlling the motor vehicle driver use of said cellular telephone and / or other wireless communication devices.

A first aspect relates to an apparatus, system and method for calculating a driving behaviour risk indicator for a driver of a vehicle. Said aspect involves obtaining a count of events occurring in each of a plurality of predetermined categories based on inputs from an inertial unit mounted on the vehicle, the inertial unit including a 3D inertial sensor with 3D gyroscope functionality, each event being indicative of at least one of dangerous and aggressive driving; and calculating a driving behaviour risk indicator based on the number of events in each category. According to a second aspect, an apparatus and method for reconstructing a vehicle trajectory is provided. Said aspect includes updating a sensor error model.

An on-vehicle alarm generation method and an on-vehicle alarm generation apparatus for notifying a driver to be aware of safe driving by detecting a passerby or a bicycle moving at a dangerous point and generating an alarm to the driver are provided. In one aspect, the on-vehicle alarm generation method for detecting a passerby and generating an alarm to a driver includes the steps of including a dangerous driving point in map data and detecting the vehicle position; monitoring whether the vehicle approaches the dangerous driving point; transmitting a searching signal when the vehicle approaches the dangerous driving point; monitoring whether, in response to the searching signal, a responsive signal is received from a mobile device carried by the passerby; and generating an alarm to the driver upon receiving the responsive signal.

The invention discloses a hazardous chemical transport vehicle illegal driving behavior detection method and system based on visual collaboration. The method comprises the steps that firstly, a data set is made, and image enhancement and normalization processing are carried out; marking dangerous driving behavior sensitive articles, and training the data set for the sensitive articles through a target recognition neural network; reading each frame of the video, detecting a sensitive object through the trained network model, and then performing human body posture key point detection on the frames; coordinate positions of the left and right hand key points in the frame image are obtained through human body posture detection, position information of the key points and the sensitive object recognition frame is judged, and corresponding illegal driving behaviors are recognized; and early warning is performed when the continuous time window of the illegal driving behavior exceeds a set threshold, and the video clip is reserved. The method can adapt to real-time detection and early warning of dangerous driving behaviors of a driver in a monitoring video, facilitates the timely discovery and prompt of non-standard driving behaviors, reduces the occurrence of traffic accidents, is various in detection types, and is good in recognition effect.

The invention provides a driver relative risk evaluation method based on benchmark analysis. The driver relative risk evaluation method includes the steps: by installing a GPS data collector on a motor vehicle, obtaining natural driving behavior data of a driver; based on the vehicle operation parameters, extracting key events, and determining dangerous driving behaviors of a driver; classifying the driving behaviors with different danger degrees by adopting a clustering analysis method; and calculating comprehensive risk indexes of the individual drivers relative to other drivers by utilizinga benchmark analysis method, and meanwhile, obtaining dangerous driving behavior weight distribution reflecting individual differences of the drivers. According to the driver relative risk evaluationmethod, the traditional absolute risk is replaced by the relative risk of the driver, so that the absolute risk quantification of various dangerous driving behaviors is avoided. Relative risk evaluation is carried out on dynamic driving behaviors of individual drivers, and technical support can be provided for safe driving intelligent reminding and feedback of the drivers, personalized insuranceevaluation based on the driving behaviors and road traffic safety management.

A vehicle guidance system can include a first vehicle that has a camera, radar, and lidar to detect a first path of a second vehicle as the first and second vehicles drive on a road. A processor system of the vehicle guidance system can analyze a first deviation of the first path. Measurements from another detection system can provide additional data regarding a second path of the second vehicle. Analyzing the first path in light of the second path can enable the vehicle guidance system to identify impaired driving indicators. The vehicle guidance system can warn vehicles about the impaired driver.

The invention discloses a dangerous driving behavior recognition and dangerous event prediction method and device, equipment and a medium. The method comprises the steps that dynamic driving data of avehicle at the current moment are collected; acquiring a dangerous driving characteristic value at the current moment according to the dynamic driving data; acquiring historical driving data of the vehicle in a specified historical time period; acquiring a driving behavior characteristic value according to the historical driving data; and comparing the dangerous driving characteristic value withthe driving behavior characteristic value to obtain a comparison value, comparing the comparison value with a preset threshold value to determine whether the vehicle is currently in a dangerous driving behavior or not, and predicting the probability of a dangerous event. According to the invention, under the condition that certain driving data is collected and stored in advance, dangerous drivingcan be quickly identified and warned without increasing high hardware cost, and dangerous driving behaviors can be quantitatively identified.

The invention discloses a dangerous driving vehicle detection method and device based on new energy vehicle data, and belongs to the field of data mining. According to the dangerous driving vehicle detection method and device based on the new energy vehicle data, the new energy vehicle data serve as the basic, aiming at mass traffic data of a wide range of vehicles, data mining methods such as clustering, fitting and regression are utilized to calculate abnormal accelerated / decelerated behavior characteristic values of the vehicles and abnormal accelerated pedal travel behavior characteristic values, and then total characteristic values responding the vehicle dangerous driving behavior degree of the vehicles are calculated. Through the method, only by inputting operating data of a new energy vehicle in a certain time period, whether the new energy vehicle is a dangerous driving vehicle or not can be judged. Through contrastive analysis of true vehicle traffic accident data, it is known that dangerous driving vehicles can be effectively recognized through the dangerous driving detection method.