Bendix Commercial Vehicle Systems LLC

Andre Tokman

Andreas U Kuehnle

Shaun M Howard

Mark Muncy

A system and method for monitoring a driver's operation of a vehicle and automatically providing a lesson to a driver based on the driver's operation are provided. Input data generated by an onboard vehicle computing system specifying actions taken by the driver while operating the vehicle are received. Based on the input data, a determination is made whether a driving event has occurred that requires the lesson to be output to the driver. The driving event is analyzed based on threshold data stored in the memory, and based on the results of the analysis of the driving event one or more lessons are automatically output to the driver. Additionally, the driver's completion of the lesson can be monitored, and subsequent instances of the driver's operation of the vehicle may include controlling movement of the vehicle based on the results of the analysis of the driving event.

Automatic teaching device

A fleet management server includes a memory and a processor. The processor is configured to: receive past event data associated with at least one vehicle and at least one driver, the past event data representing at least one respective past vehicle event that occurred when one of the drivers was driving one of the vehicles; receive respective predetermined classifications of the past vehicle events that were previously manually assigned based on respective contemporaneous videos of the past vehicle events; receive novel event data representing at least one respective novel vehicle event; automatically assign respective ones of the predetermined classifications to the novel vehicle events based on the previous manually assigned classifications to the past vehicle events; and output, to a user of the fleet management server, the respective automatically assigned predetermined classifications of the novel vehicle events.

Automatic event classification

A fleet management server is configured to receive, via a wireless transceiver, driver and vehicle information from a plurality of vehicles relating to a plurality of drivers. The server computes, based on the received driver and vehicle information, occurrence rates for predetermined vehicle events and predetermined vehicle error codes that are associated with possible vehicle tampering, and then compares, based on the received driver and vehicle information, an occurrence rate for the predetermined vehicle events and predetermined vehicle error codes of a first driver to occurrence rates for the predetermined vehicle events and predetermined vehicle error codes of one or more of the other plurality of drivers. The server is further configured to determine, based on a result of said comparing, a tampering indicator for the first driver, and to output, to a user of the fleet management server, a confidence level that the first driver has tampered with at least one information component of at least one vehicle of the plurality of vehicles based at least in part on the tampering indicator.

System and method for detecting driver tampering of vehicle information systems

A system detects tampering of an electronic system of a vehicle operated by a driver. The system receives historical occurrences of at least one diagnostic trouble code (DTC) generated by the onboard vehicle computing system based on sensor data received from a vehicle sensor during a trip. The system identifies a length of the trip and a speed of the vehicle when each DTC was generated. The system identifies a distance the vehicle had traveled when each DTC was generated. The system determines a subsequent trip was started, whether a driver operating the vehicle on the subsequent trip is a same driver or a new driver, whether DTCs were generated during the trip, and whether DTCs were generated during the subsequent trip. The system determines a tamper rating for the driver that indicates a likelihood that the driver has tampered with the vehicle.

Detection of safety system tampering via DTC analysis

A method for transmitting event data from an event detection and reporting system in a vehicle to a backend server includes storing full resolution sensor data in a vehicle buffer memory and subsampling the full resolution sensor data to produce reduced resolution of the sensor data. A vehicle event is detected based on an analysis of the reduced resolution sensor data, and the vehicle event is classified based on the reduced resolution sensor data. A determination is made as to whether the vehicle event is classified as a particular type of event with a minimum degree of confidence. The method then includes transmitting an indication that the vehicle event has not been classified with the minimum degree of confidence when the vehicle event has not been classified with the minimum degree of confidence, and transmitting reduced resolution sensor data for the detected vehicle event when the vehicle event is classified with at least the minimum degree of confidence.

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San Clemente, CA, United States of America

Andre Tokman