Automatic Detection Method of Lane-Changing Intentions Based on Relationship with Adjacent Vehicles Using Artificial Potential Fields-Reference-Cited by-同舟云学术

Automatic Detection Method of Lane-Changing Intentions Based on Relationship with Adjacent Vehicles Using Artificial Potential Fields

Published:2016 Issue:4 Volume:7 Page:127-134
ISSN:2185-0984
Container-title:International Journal of Automotive Engineering
language:en
Short-container-title:IJAE

Author:

Woo Hanwool¹,Ji Yonghoon¹,Kono Hitoshi¹,Tamura Yusuke¹,Kuroda Yasuhide²,Sugano Takashi²,Yamamoto Yasunori²,Yamashita Atsushi¹,Asama Hajime¹

Affiliation:

1. The University of Tokyo

2. Mazda Motor Corporation

Publisher

Society of Automotive Engineers of Japan, Inc.

Subject

Fluid Flow and Transfer Processes,Safety, Risk, Reliability and Quality,Automotive Engineering,Human Factors and Ergonomics

Link

https://www.jstage.jst.go.jp/article/jsaeijae/7/4/7_20164094/_pdf

Reference20 articles.

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3. (4) G. Li, S. E. Li, Y. Liao, W. Wang, B. Cheng, and F. Chen: Lane change maneuver recognition via vehicle state and driver operation signals-results from naturalistic driving data, Proceedings of the IEEE International Conference on Intelligent Vehicle Symposium, pp. 865-870 (2015).

4. (6) P. Kumar, M. Perrollaz, S. Lefevre, and C. Laugier: Learning-based approach for online lane change intention prediction, Proceedings of the IEEE International Conference on Intelligent Vehicle Symposium, pp. 797-802 (2013).

5. (7) J. Schlechtriemen, A. Wedel, J. Hillenbrand, G. Breuel, and K. Kuhnert: A lane change detection approach using feature ranking with maximized predictive power, Proceedings of the IEEE International Conference on Intelligent Vehicle Symposium, pp. 108-114 (2014).

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