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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Drivable Road Recognition by Multilayered LiDAR and Vision
verfasst von : Suhyeon Gim, Ilyas Meo, Yongjin Park, Sukhan Lee
Erschienen in: Intelligent Autonomous Systems 12
Verlag: Springer Berlin Heidelberg
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This paper presents the processing of the drivable road recognition by multilayered LiDAR and vision. Multilayered LiDAR information used for detecting a planetary region with boundaries and vision processing gives colored lane information for safe driving control. During navigating the road, EKF result on two different information are fused for robust and reliable navigation. This sensor fusing technique makes the autonomous navigation system to be robust and useful in real environment not only on regular road intersection but also unpaved ground way.