Traffic light status detection using movement patterns of vehicles

Joseph Campbell; Hani Ben Amor; Marcelo H. Ang; Georgios Fainekos

doi:10.1109/ITSC.2016.7795568

Traffic light status detection using movement patterns of vehicles

Joseph Campbell, Hani Ben Amor, Marcelo H. Ang, Georgios Fainekos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

11 Scopus citations

Abstract

Vision-based methods for detecting the status of traffic lights used in autonomous vehicles may be unreliable due to occluded views, poor lighting conditions, or a dependence on unavailable high-precision meta-data, which is troublesome in such a safety-critical application. This paper proposes a complementary detection approach based on an entirely new source of information: The movement patterns of other nearby vehicles. This approach is robust to traditional sources of error, and may serve as a viable supplemental detection method. Several different classification models are presented for inferring traffic light status based on these patterns. Their performance is evaluated over real and simulated data sets, resulting in up to 97% accuracy in each set.

Original language	English (US)
Title of host publication	2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	283-288
Number of pages	6
ISBN (Electronic)	9781509018895
DOIs	https://doi.org/10.1109/ITSC.2016.7795568
State	Published - Dec 22 2016
Event	19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016 - Rio de Janeiro, Brazil Duration: Nov 1 2016 → Nov 4 2016

Publication series

Name	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Other

Other	19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016
Country/Territory	Brazil
City	Rio de Janeiro
Period	11/1/16 → 11/4/16

ASJC Scopus subject areas

Automotive Engineering
Mechanical Engineering
Computer Science Applications

Access to Document

10.1109/ITSC.2016.7795568

Cite this

Campbell, J., Ben Amor, H., Ang, M. H., & Fainekos, G. (2016). Traffic light status detection using movement patterns of vehicles. In 2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016 (pp. 283-288). Article 7795568 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC.2016.7795568

Traffic light status detection using movement patterns of vehicles. / Campbell, Joseph; Ben Amor, Hani; Ang, Marcelo H. et al.
2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 283-288 7795568 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Campbell, J, Ben Amor, H, Ang, MH & Fainekos, G 2016, Traffic light status detection using movement patterns of vehicles. in 2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016., 7795568, IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, Institute of Electrical and Electronics Engineers Inc., pp. 283-288, 19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016, Rio de Janeiro, Brazil, 11/1/16. https://doi.org/10.1109/ITSC.2016.7795568

Campbell J, Ben Amor H, Ang MH, Fainekos G. Traffic light status detection using movement patterns of vehicles. In 2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 283-288. 7795568. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). doi: 10.1109/ITSC.2016.7795568

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Traffic light status detection using movement patterns of vehicles

Abstract

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