Drivable Road Recognition by Multilayered LiDAR and Vision

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 193)

Abstract

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.

Keywords

Drivable road recognition multilayer LiDAR computer vision Extended Kalman Filter Fusion 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Suhyeon Gim
    • 1
  • Ilyas Meo
    • 1
  • Yongjin Park
    • 1
  • Sukhan Lee
    • 1
    • 2
  1. 1.Intelligent Systems Research InstituteSungKyunKwan UniversitySuwonRep. of Korea
  2. 2.Dept. of Interaction Science, School of Information and Communication Eng.SungKyunKwan UniversitySuwonRep. of Korea

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