Vehicle Condition, Driver Behavior Analysis and Data Logging Through CAN Sniffing
Adnan Shaout, Dhanush Mysuru, and Karthik Raghupathy
The Electrical and Computer Engineering
Department, the University of Michigan, USA
Abstract: modern
vehicles nowadays have many Electronic Control Units (ECU) and sensors. Information
(data) within an automobile is transferred via the Control Area Network (CAN)
of a vehicle. This data may not be important to the driver, but if the CAN
messages are analyzed, then driver behavior and vehicle conditions can be
determined. This data can determine ahead of time any possible future failure
and the driver can be alerted about it. This paper presents standalone real
time embedded system that could analyze the CAN data were valuable lives may be
saved in real time. The proposed hardware system acquires CAN data from a
vehicle (CAN sniffing). The data is then processed and an appropriate message
is then displayed for the driver. The proposed system also stores the CAN
messages on to an industrial grade SD card (CAN logging) for future analysis. The
proposed system can also perform driver behavior and driving terrain analysis.
Keywords: vehicle condition
analysis, CAN sniffing, CAN logging, CANoe 9.0, driver behavior.