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Dependable Perception for Robots
Proceedings of International Advanced Robotics Programme IEEE
  • Chuck Thorpe, Carnegie Mellon University
  • Olivier Clatz, Carnegie
  • David Duggins, Carnegie Mellon University
  • Jay Gowdy, Carnegie Mellon University
  • Rob MacLachlan, Carnegie Mellon University
  • J. Ryan Miller
  • Christoph Mertz, Carnegie Mellon University
  • Mel Siegel, Carnegie Mellon University
  • Chieh-Chih Wang, Carnegie Mellon University
  • Teruko Yata, Carnegie Mellon University
Date of Original Version
Conference Proceeding
Abstract or Description
The weakest link in many mobile robots is perception. In order to build robots that are reliable and dependable and safe, we need to build robots that can see. Perception is becoming a solved problem for certain constrained environments. But for robots working outdoors, and at high speeds, and in close proximity to people, perception is still incomplete. Our robots need to see objects; to detect motion; and to detect which of those objects are people. In the current state of the art, this requires multiple sensors and multiple means of interpretation. This paper illustrates those principles in the context of the CMU Navlab Group's work on vehicle safety for busses and passenger cars.
Citation Information
Chuck Thorpe, Olivier Clatz, David Duggins, Jay Gowdy, et al.. "Dependable Perception for Robots" Proceedings of International Advanced Robotics Programme IEEE (2001)
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