Lane Detection Based on a Visual-Aided Multiple Sensors Platform

Yuwei Chen, Jingbin Liu, Laura Ruotsalainen, Liang Chen, Tuomo Kroger, Heidi Kuusniemi, Ling Pei, Ruizhi Chen, Tomi Tenhunen, Y. Wang

Abstract:	Currently, GPS is the dominating technology for commercial car navigation applications, which offers acceptable navigation service for door to door navigation. However, within GPS degraded or denied areas, GPS standalone may not support sufficient accuracy and availability for a satisfactory user experience. Lane detection is an important and fundamental functionality to complete various future intelligent transportation system applications. In this paper, multiple candidate solutions for lane detection are investigated including single frequency precise point positioning (PPP), low-cost gyroscope, and visual-aided methods. These methods are compared against a traditional standalone GPS solution. The results of driving tests show that single frequency PPP can improve position accuracy by efficiently mitigating the ionospheric error but still cannot fulfill the lane detection functionality while the gyroscope and visual-aided methods show promising results.
Published in:	Proceedings of IEEE/ION PLANS 2012 April 24 - 26, 2012 Myrtle Beach Marriott Resort & Spa Myrtle Beach, South Carolina
Pages:	740 - 747
Cite this article:	Chen, Yuwei, Liu, Jingbin, Ruotsalainen, Laura, Chen, Liang, Kroger, Tuomo, Kuusniemi, Heidi, Pei, Ling, Chen, Ruizhi, Tenhunen, Tomi, Wang, Y., "Lane Detection Based on a Visual-Aided Multiple Sensors Platform," Proceedings of IEEE/ION PLANS 2012, Myrtle Beach, South Carolina , April 2012, pp. 740-747. https://doi.org/10.1109/PLANS.2012.6236951
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