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13 April 2018 Real-time stop sign detection and distance estimation using a single camera
Wenpeng Wang, Yuxuan Su, Ming Cheng
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Proceedings Volume 10696, Tenth International Conference on Machine Vision (ICMV 2017); 106962A (2018) https://doi.org/10.1117/12.2309793
Event: Tenth International Conference on Machine Vision, 2017, Vienna, Austria
Abstract
In modern world, the drastic development of driver assistance system has made driving a lot easier than before. In order to increase the safety onboard, a method was proposed to detect STOP sign and estimate distance using a single camera. In STOP sign detection, LBP-cascade classifier was applied to identify the sign in the image, and the principle of pinhole imaging was based for distance estimation. Road test was conducted using a detection system built with a CMOS camera and software developed by Python language with OpenCV library. Results shows that that the proposed system reach a detection accuracy of maximum of 97.6% at 10m, a minimum of 95.00% at 20m, and 5% max error in distance estimation. The results indicate that the system is effective and has the potential to be used in both autonomous driving and advanced driver assistance driving systems.
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Wenpeng Wang, Yuxuan Su, and Ming Cheng "Real-time stop sign detection and distance estimation using a single camera", Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 106962A (13 April 2018); https://doi.org/10.1117/12.2309793
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KEYWORDS
Cameras
Roads
Image processing
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