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International Journal of Automotive Technology > Volume 15(4); 2014 > Article
International Journal of Automotive Technology 2014;15(4): 611-623.
doi: https://doi.org/10.1007/s12239-014-0064-0
ROAD BOUNDARY DETECTION AND TRACKING FOR STRUCTURED AND UNSTRUCTURED ROADS USING A 2D LIDAR SENSOR
J. HAN1, D. KIM2, M. LEE2, M. SUNWOO2
1Mando Global R&D Center
2Hanyang University
ABSTRACT
Road boundaries can give useful information for evaluating safe vehicle paths in intelligent vehicles. Much previous research has studied road boundary detection, using different types of sensors such as vision, radar, and lidar. Lidar sensors, in particular, show advantages for road boundary extraction including high resolution and wide field of view. However, none of the previous studies examined the problem of detecting road boundaries when roads could be either structured or unstructured. In this study, we developed a road boundary detection and tracking algorithm using lidar sensing for both structured and unstructured roads. The algorithm extracts road features as line segments in polar coordinates relative to the lidar sensor. The extracted road features are then tracked with respect to a vehicle
Key Words: Lidar, Nearest neighbor filter, Road boundary
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