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Lane change maneuve...
Lane change maneuver recognition via vehicle state and driver operation signals - Results from naturalistic driving data
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- Li, G. (författare)
- Tsinghua University
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- Li, Shengbo (författare)
- Tsinghua University
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- Liao, Y. (författare)
- Tsinghua University
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- Wang, W. (författare)
- Tsinghua University
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- Cheng, B. (författare)
- Tsinghua University
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- Chen, Fang, 1963 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- ISBN 9781467372664
- 2015
- 2015
- Engelska.
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Ingår i: Proceedings IEEE Intelligent Vehicles Symposium, IV 2015. - 9781467372664 ; 2015-August, s. 865-870
- Relaterad länk:
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http://dx.doi.org/10...
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https://research.cha...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- - Lane change maneuver recognition is critical in driver characteristics analysis and driver behavior modeling for active safety systems. This paper presents an enhanced classification method to recognize lane change maneuver by using optimized features exclusively extracted from vehicle state and driver operation signals. The sequential forward floating selection (SFFS) algorithm was adopted to select the optimized feature set to maximize the k-nearest-neighbor classifier performance. The hidden Markov models (HMMs), based on the optimized feature set, were developed to classify driver lane change and lane keeping maneuvers. Fifteen drivers participated in the road test for validation with an accumulation of 2,200 km naturalistic driving data, from which 372 lane changes were extracted. Results show that the recognition rate of lane change maneuver achieves 88.2%. The numbers are 87.6% and 88.8% for left and right lane change maneuvers, respectively, superior to the results from conventional classifiers. © 2015 IEEE.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Farkostteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Vehicle Engineering (hsv//eng)
Nyckelord
- maneuver recognition
- hidden Markov model (HMM)
- feature selection
- lane change
- Active safety
Publikations- och innehållstyp
- kon (ämneskategori)
- ref (ämneskategori)
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