CAN-Bus Signal Analysis Using Stochastic Methods and Pattern Recognition in Time Series for Active Safety - Digital Signal Processing for In-Vehicle Systems and Safety - page 268

Chapter 20
CAN-Bus Signal Analysis Using Stochastic
Methods and Pattern Recognition
in Time Series for Active Safety

Amardeep Sathyanarayana, Pinar Boyraz, Zelam Purohit,
and John H.L. Hansen

Abstract In the development of driver-adaptive and context-aware active safety
applications, CAN-Bus signals play a central role. Modern vehicles are equipped
with several sensors and ECU (electronic control unit) to provide measurements for
internal combustion engine and several active vehicle safety systems, such as ABS
(anti-lock brake system) and ESP (electronic stability program). The entire com-
munication between sensors, ECU, and actuators in a modern automobile is
performed via the CAN-Bus. However, the long-term history and trends in the
CAN-Bus signals, which contain important information on driving patterns and
driver characteristics, has not been widely explored. The traditional engine and
active safety systems use a very small time window (t

2s) of the CAN-Bus to
operate. On the contrary, the implementation of driver-adaptive and context-aware
systems requires longer time windows and different methods for analysis. In this
chapter, a summary of systems that can be built on this type of analysis is presented.
The CAN-Bus signals are used to recognize the patterns in long-term representing
driving subtasks, maneuvers, and routes. Based on the analysis results, quantitative
metrics/feature vectors are suggested that can be used in many ways, with two
prospects considered here: (1) CAN-Bus signals can be presented in a way to
distinguish distracted/impaired driver behavior from normal/safe and (2) driver
characteristics and control strategies can be quantitatively identified so that active
safety controllers can be adapted accordingly to obtain the best driver-vehicle
response for safe systems. In other words, an optimal human-machine cooperative
system can be designed to achieve improved overall safety.

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Keywords Active safety • CAN-Bus • Time-series analysis

A. Sathyanarayana ( * ) • P. Boyraz • Z. Purohit • J.H. Hansen
Center for Robust Speech Systems, University of Texas at Dallas,
Richardson, TX, USA
e-mail: [e-mail] ; [e-mail] ; [e-mail] ;
[e-mail]