Race-car instrumentation for driving behavior studies

Diomidis I. Katzourakis*, Efstathios Velenis, David Abbink, Riender Happee, Edward Holweg

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

30 Citations (Scopus)

Abstract

This paper supplies a roadmap on how a researcher can effectively perform real vehicular experiments oriented to high-speed driving research. It provides detailed guidelines for constructing versatile low-cost instrumentation suitable to be fitted on race cars. The custom-built equipment, consisting of wheel-speed sensors, steering angle-torque sensors, electronic boards, etc., is thoroughly described. Furthermore, this paper depicts the required processing from raw measurements to user-friendly data suitable for driver behavior studies. As an illustration, a case study on driving behavior analysis is presented, during the execution of high-speed circular maneuvers. The recorded data showed markedly different driving behaviors between expert and novice drivers. The mechanical designs and the open-source-based software are freely available online.

Original languageEnglish
Article number6025287
Pages (from-to)462-474
Number of pages13
JournalIEEE Transactions on Instrumentation and Measurement
Volume61
Issue number2
DOIs
Publication statusPublished - Feb 2012

Keywords

  • Automotive control
  • AVR
  • data fusion
  • driver modeling and behavior analysis
  • global positioning system (GPS)
  • inertial sensors
  • Open Computer Vision Library (OpenCV)
  • race-car instrumentation
  • slip-angle sensor

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