Paper
30 September 2003 Sign detection for autonomous navigation
Thomas G. Goodsell, Magnus S. Snorrason, Dustin Cartwright, Brian Stube, Mark R. Stevens, Vitaly X. Ablavsky
Author Affiliations +
Abstract
Mobile robots currently cannot detect and read arbitrary signs. This is a major hindrance to mobile robot usability, since they cannot be tasked using directions that are intuitive to humans. It also limits their ability to report their position relative to intuitive landmarks. Other researchers have demonstrated some success on traffic sign recognition, but using template based methods limits the set of recognizable signs. There is a clear need for a sign detection and recognition system that can process a much wider variety of signs: traffic signs, street signs, store-name signs, building directories, room signs, etc. We are developing a system for Sign Understanding in Support of Autonomous Navigation (SUSAN), that detects signs from various cues common to most signs: vivid colors, compact shape, and text. We have demonstrated the feasibility of our approach on a variety of signs in both indoor and outdoor locations.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas G. Goodsell, Magnus S. Snorrason, Dustin Cartwright, Brian Stube, Mark R. Stevens, and Vitaly X. Ablavsky "Sign detection for autonomous navigation", Proc. SPIE 5083, Unmanned Ground Vehicle Technology V, (30 September 2003); https://doi.org/10.1117/12.487235
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Detection and tracking algorithms

Video

Mobile robots

Navigation systems

Robots

Global Positioning System

Image segmentation

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