Translator Disclaimer
Paper
17 May 2013 Vegetation versus man-made object detection from imagery for unmanned vehicles in off-road environments
Author Affiliations +
Abstract
There have been several major advances in autonomous navigation for unmanned ground vehicles in controlled urban environments in recent years. However, off-road environments still pose several perception and classification challenges. This paper addresses two of these challenges: detection and classification of vegetation vs. man-made objects. In order for a vehicle or remote operator to traverse cross-country terrain, automated decisions must be made about obstacles in the vehicle's path. The most common obstacle is vegetation, but some vegetation may be traversable, depending on the size of the vehicle and the type of vegetation. However, man­ made objects should generally be detected and avoided in navigation. We present recent research towards the goal of vegetation and man-made object detection in the visible spectrum. First, we look at a state-of-the-art approach to image segmentation and image saliency using natural scene statistics. Then we apply recent work in multi-class image labeling to several images taken from a small unmanned ground vehicle (UGV). This work will attempt to highlight the recent advances and challenges that lie ahead in the ultimate goal of vegetation and man-made object detection and classification in the visual spectrum from UGV.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Josh Harguess and Jacoby Larson "Vegetation versus man-made object detection from imagery for unmanned vehicles in off-road environments", Proc. SPIE 8741, Unmanned Systems Technology XV, 874104 (17 May 2013); https://doi.org/10.1117/12.2016406
PROCEEDINGS
8 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

A vision-based approach for tramway rail extraction
Proceedings of SPIE (March 04 2015)
Getting more from the scene for autonomous navigation UGV...
Proceedings of SPIE (November 15 1999)
Ground plane segmentation from multiple visual cues
Proceedings of SPIE (July 31 2002)
A vision-based detection algorithm for unmarked road
Proceedings of SPIE (November 28 2007)
Unstructured road segmentation based on Otsu-entropy method
Proceedings of SPIE (October 28 2011)

Back to Top