Abstract
A recent trend of car navigation system is using actual video captured by camera equipped on a vehicle. The video-based navigation systems displays guidance information overlaid onto video before reaching a crossroad, so it is essential to detect where the crossroads are in the video frame. In this paper, we suggest a detection method for traffic lights that is used for estimating location of crossroads in image. Suggested method can detect traffic lights in a long distance, and estimates pixel location of crossroad that is important information to visually represent guidance information on video. We suggest a new method for traffic light detection that processes color thresholding, finds center of traffic light by Gaussian mask, and verifies the candidate of traffic light using suggested existence-weight map. Experiments show that the detection method for traffic signs works effectively and robustly for outdoor video and can used for video-based navigation system.
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© 2006 Springer-Verlag Berlin Heidelberg
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Tae-Hyun, H., In-Hak, J., Seong-Ik, C. (2006). Detection of Traffic Lights for Vision-Based Car Navigation System. In: Chang, LW., Lie, WN. (eds) Advances in Image and Video Technology. PSIVT 2006. Lecture Notes in Computer Science, vol 4319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11949534_68
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DOI: https://doi.org/10.1007/11949534_68
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68297-4
Online ISBN: 978-3-540-68298-1
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