Vision and navigation for the Carnegie-Mellon navlab

  • Authors:
  • Charles Thorpe;Martial H. Hebert;Takeo Kanade;Steven A. Shafer

  • Affiliations:
  • Carnegie-Mellon Univ., Pittsburgh, PA;Carnegie-Mellon Univ., Pittsburgh, PA;Carnegie-Mellon Univ., Pittsburgh, PA;Carnegie-Mellon Univ., Pittsburgh, PA

  • Venue:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence - Special Issue on Industrial Machine Vision and Computer Vision Technology:8MPart
  • Year:
  • 1988

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Abstract

A distributed architecture articulated around the CODGER (communication database with geometric reasoning) knowledge database is described for a mobile robot system that includes both perception and navigation tools. Results are described for vision and navigation tests using a mobile testbed that integrates perception and navigation capabilities that are based on two types of vision algorithms: color vision for road following, and 3-D vision for obstacle detection and avoidance. The perception modules are integrated into a system that allows the vehicle to drive continuously in an actual outdoor environment. The resulting system is able to navigate continuously on roads while avoiding obstacles