Sensors 2013, 13(1), 1102-1120; doi:10.3390/s130101102
Article

A New Curb Detection Method for Unmanned Ground Vehicles Using 2D Sequential Laser Data

1,2,* email, 2email and 1email
Received: 12 November 2012; in revised form: 26 December 2012 / Accepted: 9 January 2013 / Published: 16 January 2013
(This article belongs to the Section Physical Sensors)
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Abstract: Curb detection is an important research topic in environment perception, which is an essential part of unmanned ground vehicle (UGV) operations. In this paper, a new curb detection method using a 2D laser range finder in a semi-structured environment is presented. In the proposed method, firstly, a local Digital Elevation Map (DEM) is built using 2D sequential laser rangefinder data and vehicle state data in a dynamic environment and a probabilistic moving object deletion approach is proposed to cope with the effect of moving objects. Secondly, the curb candidate points are extracted based on the moving direction of the vehicle in the local DEM. Finally, the straight and curved curbs are detected by the Hough transform and the multi-model RANSAC algorithm, respectively. The proposed method can detect the curbs robustly in both static and typical dynamic environments. The proposed method has been verified in real vehicle experiments.
Keywords: curb detection; laser range finder; mapping; dynamic environment
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Liu, Z.; Wang, J.; Liu, D. A New Curb Detection Method for Unmanned Ground Vehicles Using 2D Sequential Laser Data. Sensors 2013, 13, 1102-1120.

AMA Style

Liu Z, Wang J, Liu D. A New Curb Detection Method for Unmanned Ground Vehicles Using 2D Sequential Laser Data. Sensors. 2013; 13(1):1102-1120.

Chicago/Turabian Style

Liu, Zhao; Wang, Jinling; Liu, Daxue. 2013. "A New Curb Detection Method for Unmanned Ground Vehicles Using 2D Sequential Laser Data." Sensors 13, no. 1: 1102-1120.


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