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Proceedings Paper

Feature-Based Reasoning Trail Detection
Author(s): Christy Chism; John Wright; Jeff Umbarger
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Paper Abstract

Map data can provide contextual cues that enhance ATR system performance. Maps, however, sometimes lack scene cues such as secondary trails. In these instances, trail detection requires map-independent approaches. Therefore, we have developed a feature-based trail detection algorithm. Its low-level function extracts features (edges, lines) that characterize trail geometry. A high-level function evaluates scene features, ranks them according to their trail-like attributes, and applies rules. Rules interpret complicated scenarios such as partial trail occlusion and high trail curvature. The algorithm demonstrates robust performance on both FLIR and TV imagery.

Paper Details

Date Published: 1 March 1990
PDF: 10 pages
Proc. SPIE 1195, Mobile Robots IV, (1 March 1990); doi: 10.1117/12.969887
Show Author Affiliations
Christy Chism, Texas Instruments (United States)
John Wright, Texas Instruments (United States)
Jeff Umbarger, Texas Instruments (United States)

Published in SPIE Proceedings Vol. 1195:
Mobile Robots IV
Wendell H. Chun; William J. Wolfe, Editor(s)

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