Race-car instrumentation for driving behavior studies

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Race-car instrumentation for driving behavior studies

Journal Article (2012)

Author(s)

Diomidis I. Katzourakis (TU Delft - Mechanical Engineering)

Efstathios Velenis (Brunel University)

David Abbink (TU Delft - Mechanical Engineering)

Riender Happee (TU Delft - Mechanical Engineering)

Edward Holweg (TU Delft - Mechanical Engineering, TU Delft - Mechanical Engineering)

Research Group

Human-Robot Interaction

Automotive control Data fusion Inertial sensors AVR Driver modeling and behavior analysis Global positioning system (GPS) Open Computer Vision Library (OpenCV) Race-car instrumentation Slip-angle sensor

DOI related publication

https://doi.org/10.1109/TIM.2011.2164281 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:93859f55-039d-4595-a2e4-0c2273c9dbeb

More Info

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Publication Year

2012

Language

English

Research Group

Human-Robot Interaction

Issue number

2

Volume number

61

Article number

6025287

Pages (from-to)

462-474

Downloads counter

191

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.