Systems and methods for classifying driver behavior

    公开(公告)号:US11315026B2

    公开(公告)日:2022-04-26

    申请号:US16559711

    申请日:2019-09-04

    摘要: Data processing techniques and systems for processing telematics data associated with a vehicle, such as an automobile, to classify how the vehicle is being operated by a driver. The telematics data can include the use of image data captured by a camera of the vehicle. The image data is processed in conjunction with vehicular telematics data such as position, speed, and acceleration data of the vehicle obtained from, for example, smartphone sensors. The image data is processed and used by a processing system to provide a context for the telematics data. The image data and the telematics data are classified by the processing system to identify driving behavior of the driver, determine driving maneuvers that have occurred, scoring driving quality of the driver, or a combination of them.

    Methods and systems for pattern-based identification of a driver of a vehicle

    公开(公告)号:US11237184B2

    公开(公告)日:2022-02-01

    申请号:US17076713

    申请日:2020-10-21

    IPC分类号: G01C21/16 G01P15/18 B60W40/09

    摘要: A system for pattern-based identification of a driver of a vehicle includes a mobile device; and a server configured to communicate with the mobile device. The mobile device collects movement information during a driving trip via one or more sensors in the mobile device, and communicates the collected movement information to a server. The server analyzes the movement information via a classifier, identifies driving features for the driver based at least in part on the analysis of the movement information, creates an identification model for the driver based on identified driving features, and stores the identification model.

    System and method for obtaining vehicle telematics data

    公开(公告)号:US11082758B2

    公开(公告)日:2021-08-03

    申请号:US16559726

    申请日:2019-09-04

    摘要: A sensor tag which in use will be affixed to a vehicle for obtaining vehicle telematics data includes a battery for powering the tag and a processor running executable code to process accelerometer data. An accelerometer measures the acceleration of the tag and thereby of the vehicle, and also controls the operation of the processor. A memory is used for storing a unique tag identifier of the tag and for storing trip data including information about trips and acceleration data. Finally, a communication module is used for short range wireless communication with a mobile communications device located in the vehicle via a short range wireless communications protocol, the communication module transmitting the tag's unique identifier and a sequence of time stamped acceleration data. The mobile communications device obtains GPS data, combines this with the acceleration date and transmits this to a server for analysis.

    Methods and systems for point of impact detection

    公开(公告)号:US12128840B2

    公开(公告)日:2024-10-29

    申请号:US18522009

    申请日:2023-11-28

    IPC分类号: B60R21/0132 G06N3/08 G08G1/01

    摘要: Techniques are disclosed for detecting a point-of-impact of a vehicle collision. A mobile device receives a set of sensor measurements from sensors of the mobile device. The mobile device generates a crash feature vector from the sensor measurements and one or more point-of-impact features. The mobile device executes a set of classifiers using the crash feature vector and the one or more point-of-impact features. Each classifier of the set of classifiers is configured to generate an output that is partially indicative of a point-of-impact of the collision. The mobile device generates, from the output of each classifier of the set of classifiers, a prediction of a point of impact of the vehicle collision. The mobile device then transmits an indication of the point of impact to a remote device.

    METHOD AND SYSTEM FOR VEHICLE CRASH PREDICTION USING MULTI-VEHICLE DATA

    公开(公告)号:US20240321098A1

    公开(公告)日:2024-09-26

    申请号:US18734546

    申请日:2024-06-05

    IPC分类号: G08G1/16

    CPC分类号: G08G1/16

    摘要: Techniques described herein provide for methods and systems for vehicle crash prediction using multi-vehicle data. In one example, a method includes receiving event data for events identified by devices disposed in a plurality of vehicles from movements of the vehicles collected by the devices. For each pair of events, a degree of alignment is determined and used to identify candidate pairs of events. For each candidate pair of events, single event detection features are extracted and input into a crash prediction model to determine a crash correlation probability for whether both events correspond to a same crash event. Based on the probability, an indication of the same crash event is transmitted to a remote server associated with either or both vehicles involved in the crash event.

    SYSTEMS AND METHODS FOR SENSOR-BASED DETECTION AND ALERTING OF HARD BRAKING EVENTS

    公开(公告)号:US20240317136A1

    公开(公告)日:2024-09-26

    申请号:US18737641

    申请日:2024-06-07

    IPC分类号: B60Q9/00 H04W4/02

    CPC分类号: B60Q9/00 H04W4/026 H04W4/027

    摘要: A method includes receiving electronic signals from a computing device disposed in a vehicle during a drive that are indicate motion data measured in a reference frame of the computing device and transforming the motion data to produce acceleration vectors for the vehicle. The method also includes detecting a hard braking event using the acceleration vectors and alerting a driver to the hard braking event in real time. The method also includes detecting a subsequent hard braking event and alerting the driver to the subsequent hard braking event in real time in response to determining that an elapsed time since the first alert is greater than or equal to a predefined period of time, the number of events detected since the first alert is greater than or equal to a predefined number of events, or both.