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JRM Vol.27 No.6 pp. 617-626
doi: 10.20965/jrm.2015.p0617
(2015)

Paper:

Vehicle Localization Based on the Detection of Line Segments from Multi-Camera Images

Kosuke Hara* and Hideo Saito**

*Research & Development Group, Denso IT Laboratory
CROSSTOWER 28F, 2-15-1 Shibuya, Shibuya-ku, Tokyo 150-0002, Japan

**Department of Information and Computer Science, Keio University
3-14-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa 223-8522, Japan

Received:
June 20, 2015
Accepted:
September 25, 2015
Published:
December 20, 2015
Keywords:
localization, multi camera system, line segment detection, autonomous driving
Abstract
The localization system

For realizing autonomous vehicle driving and advanced safety systems, it is necessary to achieve accurate vehicle localization in cities. This paper proposes a method of accurately estimating vehicle position by matching a map and line segment features detected from images captured by a camera. Features such as white road lines, yellow road lines, road signs, and curb stones, which could be used as clues for vehicle localization, were expressed as line segment features on a two-dimensional road plane in an integrated manner. The detected line segments were subjected to bird’s-eye view transformation to transform them to the vehicle coordinate system so that they could be used for vehicle localization regardless of the camera configuration. Moreover, an extended Kalman filter was applied after a detailed study of the line observation errors for realizing real-time estimation. Vehicle localization was tested under city driving conditions, and the vehicle position was identified with sub-meter accuracy.

Cite this article as:
K. Hara and H. Saito, “Vehicle Localization Based on the Detection of Line Segments from Multi-Camera Images,” J. Robot. Mechatron., Vol.27, No.6, pp. 617-626, 2015.
Data files:
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Last updated on Nov. 12, 2018