235 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.

A biosensor is configured to detect an impaired-driving condition of a driver of a vehicle; a biosensor reader, in the vehicle, is configured to wirelessly receive information from the biosensor regarding whether the driver of the vehicle is in an impaired-driving condition; an ignition system of the vehicle is configured to be disabled in response to the biosensor reader receiving information from the biosensor indicating that the driver of the vehicle is in an impaired driving condition; and a telematics unit is configured to wirelessly notify a remotely located third party that the driver is impaired.

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 embodiment of the invention provides a driving behavior analysis and processing method and device, equipment and a storage medium so as to improve the driving safety. The method comprises the following steps: acquiring driving image data of a driving user and driving information of a vehicle; analyzing attention information of the driving user according to the driving image data; according tothe attention information and the driving information, determining the driving state of the driving user, wherein the driving state comprises an abnormal driving state; and giving an alarm prompt forthe abnormal driving state. Whether the driver is in a dangerous driving state or not is effectively monitored based on the attention of the driver, early warning is conducted on dangerous driving intime, and driving safety is guaranteed.

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 discloses a method for supervising a dangerous driving behavior based on video recognition, which comprises the following steps: collecting a video image; recognizing a dangerous drivingbehavior through the video image; and responding to the dangerous driving behavior. The method for supervising a dangerous driving behavior based on video recognition in the invention adds an intelligent video analysis algorithm on a vehicle-mounted monitoring device to analyze dangerous driving behaviors such as a driver using a mobile phone, not wearing a seat belt, fatigue driving, or unexpected opening of a warehouse door during the driving process of the vehicle, and to respond in manners of recording, giving an alarm or sending the dangerous driving behavior information through a mobilecommunication network, and the like according to an analysis result, thereby facilitating strengthening of the supervision and management of drivers, reduction of the probability of occurrence of traffic accidents, improvement of the driving safety of operating vehicles, and reduction of the operating cost.

A vehicle guidance system can include a first vehicle that has a camera, radar, and lidar to record 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. Information from a third vehicle 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 other vehicles about the impaired driver.

The invention provides a method and apparatus for standardizing the driving behaviors of drivers. The method includes the following steps that: S1, the face region of a driver in driving is shot in real time through the camera of a mobile terminal; S2, a face is detected through face recognition technologies, and five-sense organ regions of the face are positioned; S3, the driving behaviors of the driver are recognized through a monitoring algorithm, and whether the driving behaviors are dangerous driving behaviors is judged, if the driving behaviors are dangerous driving behaviors, step S4 is executed, if the driving behaviors are not dangerous driving behaviors, recognition terminates; and S4, alarms are emitted to the driver, so that the driver is prompted that he or she is conducting dangerous driving. With the method and apparatus of the invention adopted, when the driving behaviors of the driver are dangerous driving behaviors, alarms are emitted to the driver, and therefore, the safety of the driver in vehicle driving can be greatly improved.

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.

The application discloses a vehicle positioning method, an automatic driving control method and related systems. Position information of wheels of a vehicle is acquired by utilizing a laser radar arranged in a parking lot; and according to the position information of the wheels, a position of the vehicle is acquired. Detection accuracy of the laser radar is very high and can reach a millimeter level, and accuracy of acquiring the position information of the wheels by adopting the method is very high. For each vehicle, after the position information of a plurality of wheels of the vehicle is acquired, the position of the vehicle can be determined. The method does not depend on a GPS (Global Positioning System) or inertial navigation equipment arranged on the vehicle; the position of the vehicle can be determined by directly utilizing the laser radar arranged in the parking lot; in the vehicle driving process, the vehicle can be continuously tracked; and no matter manual driving or automatic driving can use the vehicle position acquired by the laser radar as the basis of driving or driving control. By adopting the method, vehicle positioning accuracy is improved, and problems of driving inconvenience or driving accident and the like, which are caused by vehicle positioning inaccuracy, can be effectively avoided.

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 provides a method and device for recognizing distractions and dangerous driving behaviors of a driver and a storage medium, and aims to solve the problems that the distractions and dangerous actions of the driver are low in recognition accuracy in the driving process, and early warning cannot be performed in time after recognition. The method mainly comprises the following steps: S1,acquiring image information of a driver; S2, detecting the driving behavior of the driver according to the image obtained in the S1, and judging whether a defined dangerous driving behavior occurs ornot; S3, performing face detection on the image obtained in the step S1; S4, carrying out key point positioning, micro-expression recognition and sight line estimation according to the face area provided in the S3; and S5, judging whether the driver has distractions and dangerous driving behaviors or not according to the information obtained in the S4 and the S2. According to the method, the driving behavior of the driver can be detected in real time in a non-contact mode, the method is easy to implement and high in recognition accuracy, the method can be widely applied to the fields of intelligent driving and the like, and the safety and reliability of the driving behavior are improved.

The invention belongs to the technical field of aided driving and discloses an aided driving method, device and equipment and a storage medium. The method comprises steps that the driving state information of a current driving vehicle and the driver state information on the current driving vehicle are obtained, a current driving state of a driver is determined according to the driver state information and the driving state information, and the current cockpit environment and an auxiliary driving strategy are adjusted according to the current driving state. By means of the mode, the strategy and the driving environment of vehicle driving are changed according to a driving state of the driver, and accidents are prevented. On one hand, the state of the driver is adjusted by changing the driving environment, on the other hand, operation of dangerous driving is limited by auxiliary driving, so driving safety is improved, and driving accidents are effectively reduced.

The invention provides a running track prompt method. The method includes the following steps: collecting the driving data of an vehicle; based on the collected driving data, monitoring and determining whether a driving behavior of the preset type occurs or not; if the driving behavior of a certain preset type occurs, allowing a positioning unit to obtain the current position data of the vehicle, and associating the driving behavior of the preset type with the obtained position data; when navigation is over or a trajectory prompt command issued by a user is received, marking the associated position of the driving behavior of the preset type in a map database using a preset mark; displaying the driving behavior of the preset type as prompt information of the associated position. The invention further provides the vehicle and an electronic device which are applied to the method. The method is capable of recording the driving trajectory of the user so as to understand a dangerous driving behavior that occurs after an accident.

The invention discloses a road risk assessment method and device, and relates to the technical field of traffic safety, mainly aiming to assess potential risks of traffic accidents on roads. Accordingto the main technical scheme of the invention, the road risk assessment method comprises the steps: obtaining an accident road where a traffic accident illegal behavior occurs in a preset time periodand a corresponding traffic accident illegal behavior data size from a traffic accident illegal behavior database; acquiring a dangerous driving behavior data volume corresponding to the accident road in the preset time period from a dangerous driving behavior database; obtaining a road risk assessment threshold according to the traffic accident illegal behavior data volume and the dangerous driving behavior data volume of the accident road; acquiring dangerous driving behavior data volume corresponding to other roads except the accident road in a preset time period from a dangerous driving behavior database; and comparing the dangerous driving behavior data volume corresponding to the other roads with the road risk assessment threshold to obtain risk assessment results of the other roads.

A vehicle detecting system, a vehicle detecting method adapted for a vehicle, and a computer-readable storage medium encoded with a computer program are disclosed. The system controls two cameras to capture images in the front of the vehicle and at the back of the vehicle respectively, according to a speed and a direction of the vehicle. The system further determines whether or not two images from each camera are the same, if the two images from each camera are different, the vehicle is in a dangerous driving condition, and when times of the dangerous driving condition within a preset time period reaches a preset value, the system outputs a warning to prompt a driver.

A system is adapted for detecting a driving state of a vehicle, and is operable to obtain real-time image frames corresponding to a driver of the vehicle for determining if the driver is in a dangerous driving state, to obtain operation information of the vehicle for determining if the vehicle is being operated in a dangerous condition when the driver is unable to be identified by the system, and to provide a notification when the driving state of the vehicle is determined to be dangerous.

The invention belongs to the technical field of intelligent driving, relates to an early warning method, system and device for identifying the driving behaviors and dangerous driving behaviors of thedriver, and aims to solve the problem that a driver driving behavior identification method is low in recognition accuracy and fails to share identified dangerous driving behavior information. The method comprises the steps of: acquiring the driving behavior depth image of a driver; and obtaining the driving behavior state of the driver through a driving behavior identification model; and carryingout danger grade judgment on the identified driving behavior state of the driver based on a preset driver behavior state grading rule, and carrying out early warning prompting according to a preset danger grade early warning mode. According to the method, a driving behavior identification model is trained through transfer learning, so that the accuracy of driving behavior identification is improved; and identified dangerous driving behaviors are broadcasted in time, so that information sharing is achieved.

The embodiment of the invention provides an automobile risk pre-control method and system. The method comprises the steps: collecting vehicle driving data and vehicle part monitoring data; processingand analyzing the vehicle driving data to obtain a current dangerous driving behavior type; processing and analyzing the vehicle part monitoring data to obtain a current vehicle abnormality type; andsending alarm information and / or intervening the vehicle according to the dangerous driving behavior type and / or the vehicle abnormal type. Early warning and active intervention of automobile drivingrisks are achieved, real-time detection of abrasion of easily-damaged parts of the automobile and whether automobile parts can be normally used or not is achieved, a driver can be reminded in time tocheck and replace the automobile parts, and potential traffic accidents are effectively reduced.

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 driving behavior analysis, recognition and warning system based on deep learning and a recognition method thereof. The system comprises a camera with a depth image generationfunction and a data analysis module, wherein the data analysis module comprises terminal equipment with an edge calculation function and a voice module used for reminding broadcasting, the camera isused for collecting three-dimensional space information of a driver, and the terminal equipment is used for analyzing and judging driving behaviors according to the collected three-dimensional space information of the driver. The depth image technology, the improvement of the convolutional neural network and the design of the edge system are adopted, the data analysis module is constructed, the behaviors of the driver and the passengers are analyzed and classified, the driving behaviors are recognized in real time, and the driver is warned, so that the problems of fatigue driving and dangerousdriving of the driver are solved, the possibility of traffic accidents caused by non-standard behaviors of the driver is reduced, and the travel safety is guaranteed to the maximum extent.

The embodiment of the invention provides a dangerous driving behavior recognition method, device and apparatus and a storage medium, and is used for recognizing dangerous driving behaviors of a driverand guaranteeing the safety of drivers and passengers. The dangerous driving behavior identification method is applied to an intelligent sensing terminal in an online car-hailing system, the online car-hailing system further comprises a video recording module and a server which are connected with the intelligent sensing terminal, and the method further comprises: acquiring video data which are acquired by the video recording module and comprise a driver; and analyzing one or more frames of image data in the video data, determining that the driver has a dangerous driving behavior, and sendinga notification message to a server.

The invention provides a vehicle dangerous driving detection method and device and a storage medium. The method comprises the steps of setting at least one driving control scene according to first vehicle driving information, first road surface dry and wet condition information and first vehicle type information; obtaining first vehicle operation data matched with the driving control scene, generating a scene data sample set, and determining a vehicle operation data threshold corresponding to the driving control scene based on the scene data sample set and by using a preset threshold calculation strategy; and detecting the target vehicle in real time according to the driving control scene and the corresponding vehicle operation data threshold. According to the method and device and the storage medium, vehicle dangerous operation behaviors of vehicle driving under various actual conditions can be accurately recognized, the method can adapt to dangerous driving detection under various conditions, and the accuracy and generalization of dangerous driving detection are improved.

A smart driving management system and a method are disclosed. The management system includes a central control unit, a detection module, a voice reminding module, and a reply receiving module. The management method includes: A. providing a management system communicating with an automotive electronic diagnosis unit of a vehicle to receive driving information of the vehicle detected by the automotive electronic diagnosis unit; B. the management system setting a standard value for the driving information and sending out a voice message when detecting that data of the driving information does not meet the standard value; C. the management system receiving a voice reply content and detecting whether data of new driving information meets the standard value according to the voice reply content; D. the management system generating a detection result based on the new driving information and determining that the detection result is normal driving or dangerous driving.

The present invention provides for apparatus and related methods for alerting other people that are nearby to the automobile to dangerous driving conditions or accidents comprising. One exemplary embodiment of the present disclosure provides one or more sensors for an automobile that detect dangerous driving conditions or an automobile accident. The sensors communicate with a computer or microprocessor which communicates with one or more devices that release one or mores signals from the automobile to release the one or more signals. Releasing the one or more signals from the automobile alerts those nearby the automobile that there are dangerous driving conditions or an automobile accident allowing them to reduce their speed, change their driving behavior and potentially avoid accidents or significantly reduce the severity of any accident that they encounter. The present invention provides these and other vehicle safety advantages.

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.