A robust algorithm for the detection of vehicle turn signals and brake lights

Mauricio Casares, Akhan Almagambetov, Senem Velipasalar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

29 Scopus citations

Abstract

Robust and lightweight detection of alert signals of front vehicle, such as turn signals and brake lights, is extremely critical, especially in autonomous vehicle applications. Even with cars that are driven by human beings, automatic detection of these signals can aid in the prevention of otherwise deadly accidents. This paper presents a novel, robust and lightweight algorithm for detecting brake lights and turn signals both at night and during the day. The proposed method employs a Kalman filter to reduce the processing load. Much research is focused only on the detection brake lights at night, but our algorithm is able to detect turn signals as well as brake lights under any lighting conditions with high accuracy rates.

Original languageEnglish (US)
Title of host publicationProceedings - 2012 IEEE 9th International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2012
Pages386-391
Number of pages6
DOIs
StatePublished - Nov 6 2012
Event2012 IEEE 9th International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2012 - Beijing, China
Duration: Sep 18 2012Sep 21 2012

Publication series

NameProceedings - 2012 IEEE 9th International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2012

Other

Other2012 IEEE 9th International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2012
CountryChina
CityBeijing
Period9/18/129/21/12

Keywords

  • Autonomous vehicles
  • Cameras
  • Kalman filter
  • Signal processing algorithms
  • Tracking
  • Transportation
  • Vehicle light detection

ASJC Scopus subject areas

  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'A robust algorithm for the detection of vehicle turn signals and brake lights'. Together they form a unique fingerprint.

  • Cite this

    Casares, M., Almagambetov, A., & Velipasalar, S. (2012). A robust algorithm for the detection of vehicle turn signals and brake lights. In Proceedings - 2012 IEEE 9th International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2012 (pp. 386-391). [6328045] (Proceedings - 2012 IEEE 9th International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2012). https://doi.org/10.1109/AVSS.2012.2