Dynamic Obstacle Detection Using Visually Informed Scan Matching

Article Preview

Abstract:

This paper presents a real-time dynamic obstacle detection algorithm using a scan matching method considering image information from a mobile robot equipped with a camera and a laser scanner. By combining image and laser scan data, we extract a scan segment corresponding to the dynamic obstacle. To complement the performance of scan matching, poor in dynamic environments, the extracted scan segment is temporarily removed. After obtaining a good robot position, the position of the dynamic obstacle is calculated based on the robot’s position. Through two experimental scenarios, the performance of the proposed algorithm is demonstrated.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1192-1196

Citation:

Online since:

March 2013

Export:

Price:

[1] A. Ess, K. Schindler, B. Leibe, and L. Van Gool: Object detection and tracking for autonomous navigation in dynamic environments, International Journal of Robotics Research, 29 (14), (2010), pp.1707-1725.

DOI: 10.1177/0278364910365417

Google Scholar

[2] A. Ess, B. Leibe, K. Schindler, and L. Van Gool: A mobile vision system for robust multi-person tracking, IEEE Conference on Computer Vision and Pattern Recognition, (2008), No. 44587581.

DOI: 10.1109/cvpr.2008.4587581

Google Scholar

[3] D. M. Gavrila, and S. Munder: Multi-cue pedestrian detection and tracking from a moving vehicle, International Journal of Computer Vision, 73 (1), (2007), pp.41-59.

DOI: 10.1007/s11263-006-9038-7

Google Scholar

[4] C. Wang, C. Thorpe, S. Thrun, M. Hebert, and H. Durrant-whyte: Simultaneous localization, mapping and moving object tracking, International Journal of Robotics Research, 26 (9), (2007), pp.889-916.

DOI: 10.1177/0278364907081229

Google Scholar

[5] M. Becker, R. Hall, S. Kolski, K. Macek, R. Siegwart, and B. Jensen: 2D laser-based probabilistic motion tracking in urban-like environments, Journal of Brazilian Society of Mechanical Sciences and Engineering, 31 (2), (2009), pp.83-96.

DOI: 10.1590/s1678-58782009000200001

Google Scholar

[6] T. Vu, J. Burlet, and O. Aycard: Grid-based localization and local mapping with moving object detection and tracking, Information Fusion, 12 (1), (2011), pp.58-69.

DOI: 10.1016/j.inffus.2010.01.004

Google Scholar

[7] A. Diosi, and L. Kleeman: Fast laser scan matching using polar coordinates, International Journal of Robotics Research, 26 (10), (2007), pp.1125-1153.

DOI: 10.1177/0278364907082042

Google Scholar