Vision for Looking at Traffic Lights: Issues, Survey, and Perspectives

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Abstract

This paper presents the challenges that researchers must overcome in traffic light recognition (TLR) research and provides an overview of ongoing work. The aim is to elucidate which areas have been thoroughly researched and which have not, thereby uncovering opportunities for further improvement. An overview of the applied methods and noteworthy contributions from a wide range of recent papers is presented, along with the corresponding evaluation results. The evaluation of TLR systems is studied and discussed in depth, and we propose a common evaluation procedure, which will strengthen evaluation and ease comparison. To provide a shared basis for comparing TLR systems, we publish an extensive public data set based on footage from U.S. roads. The data set contains annotated video sequences, captured under varying light and weather conditions using a stereo camera. The data set, with its variety, size, and continuous sequences, should challenge current and future TLR systems.
Original languageEnglish
JournalI E E E Transactions on Intelligent Transportation Systems
Volume17
Issue number7
Pages (from-to)1800-1815
ISSN1524-9050
DOIs
Publication statusPublished - 3 Feb 2016

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title = "Vision for Looking at Traffic Lights: Issues, Survey, and Perspectives",
abstract = "This paper presents the challenges that researchers must overcome in traffic light recognition (TLR) research and provides an overview of ongoing work. The aim is to elucidate which areas have been thoroughly researched and which have not, thereby uncovering opportunities for further improvement. An overview of the applied methods and noteworthy contributions from a wide range of recent papers is presented, along with the corresponding evaluation results. The evaluation of TLR systems is studied and discussed in depth, and we propose a common evaluation procedure, which will strengthen evaluation and ease comparison. To provide a shared basis for comparing TLR systems, we publish an extensive public data set based on footage from U.S. roads. The data set contains annotated video sequences, captured under varying light and weather conditions using a stereo camera. The data set, with its variety, size, and continuous sequences, should challenge current and future TLR systems.",
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Vision for Looking at Traffic Lights : Issues, Survey, and Perspectives. / Jensen, Morten Bornø; Philipsen, Mark Philip; Møgelmose, Andreas; Moeslund, Thomas B.; Trivedi, Mohan M.

In: I E E E Transactions on Intelligent Transportation Systems, Vol. 17, No. 7, 03.02.2016, p. 1800-1815.

Research output: Contribution to journalJournal articleResearchpeer-review

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