2018 IEEE Intelligent Vehicles Symposium (IV) 2018
DOI: 10.1109/ivs.2018.8500565
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Data Collection and Processing Methods for the Evaluation of Vehicle Road Departure Detection Systems

Abstract: Road departure detection systems (RDDSs) for avoiding/mitigating road departure crashes have been developed and included on some production vehicles in recent years. In order to support and provide a standardized and objective performance evaluation of RDDSs, this paper describes the development of the data acquisition and data post-processing systems for testing RDDSs. Seven parameters are used to describe road departure test scenarios. The overall structure and specific components of data collection system a… Show more

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Cited by 2 publications
(3 citation statements)
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“…With other major breakthroughs in science and technology such as sensing technology and powerful computing capabilities, as well as the rapid development of data sources, decision-making and intelligent control, and human-machine interface, AVs can have a much broader spectrum of applications in future Intelligent Transportation Systems (ITS). Thus, AV technology has been widely regarded as a practical solution of potentially mitigating human driving errors and reducing the number of accidents on roads [2], [3].…”
Section: Background and Motivationmentioning
confidence: 99%
See 1 more Smart Citation
“…With other major breakthroughs in science and technology such as sensing technology and powerful computing capabilities, as well as the rapid development of data sources, decision-making and intelligent control, and human-machine interface, AVs can have a much broader spectrum of applications in future Intelligent Transportation Systems (ITS). Thus, AV technology has been widely regarded as a practical solution of potentially mitigating human driving errors and reducing the number of accidents on roads [2], [3].…”
Section: Background and Motivationmentioning
confidence: 99%
“…The latest state-of-the-art ADAS technologies, e.g., Autonomous Emergency Brake System (AEBS) and Lane centering system (LCS), have made it possible to produce reliable self-driving vehicles, that can free the human driver from the heavy driving workload and reduce vehicle crashes. The National Highway Traffic Safety Administration (NHTSA) reported that rear-end crashes are one of the common types of traffic incidents on U.S. highways, accounting for approximately 29% of all crashes and resulting in a substantial number of injuries and fatalities every year [3]. Recent studies have found that there are many factors that can contribute to these crashes, such as low visibility, slippery road surfaces, driver distraction, drowsy driving, and so on [4]- [6].…”
Section: Background and Motivationmentioning
confidence: 99%
“…AEB systems was analyzed in [6]. The authors of [7] evaluated Road Departure Prevention systems (RDPSs), which can potentially reduce the crash risk by issuing visual/audible warning signals to the driver and engage automatic steering adjustment when the vehicle is detected to deviate from the current lane or the road edge. This system works well with clear lane/road edge markings and/or roadside materials such as grass.…”
Section: Introductionmentioning
confidence: 99%