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Conference Paper
Detection of Traffic Lights for Vision-Based Car Navigation System
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- Authors
- Tae Hyun Hwang, In Hak Joo, Seong Ik Cho
- Issue Date
- 2006-12
- Citation
- Pacific-Rim Symposium on Image and Video Technology (PSIVT) 2006 (LNCS 4319), v.4319, pp.682-691
- Publisher
- Springer
- Language
- English
- Type
- Conference Paper
- 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. © 2006 Springer-Verlag.
- KSP Keywords
- Car navigation system, Color thresholding, Detection Method, Long-distance, Traffic light detection, Traffic signs, Weight map, new method, video frames, video-based navigation, vision-based