The DARPA LAGR program: Goals, challenges, methodology, and phase I results-Reference-Cited by-同舟云学术

The DARPA LAGR program: Goals, challenges, methodology, and phase I results

Published:2006-11 Issue:11-12 Volume:23 Page:945-973
ISSN:1556-4959
Container-title:Journal of Field Robotics
language:en
Short-container-title:J. Field Robotics

Author:

Jackel L. D.,Krotkov Eric,Perschbacher Michael,Pippine Jim,Sullivan Chad

Publisher

Wiley

Subject

Computer Science Applications,Control and Systems Engineering

Reference9 articles.

1. Learning in a hierarchical control system: 4D/RCS in the DARPA LAGR program

2. , , , & (2006). Self-supervised monocular road detection in desert terrain. Paper presented at the Robotics: Science and Systems Conference, Philadelphia, PA.

3. , & (2006). Enhancing supervised terrain classification with predictive unsupervised learning. Paper presented at the Robotics: Science and Systems Conference, Philadelphia, PA.

4. Towards learned traversability for robot navigation: From underfoot to the far field

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