Dependable Perception for Robots

Chuck Thorpe, Olivier Clatz, David Duggins, Jay Gowdy, Robert MacLachlan, James Ryan Miller , Christoph Mertz, Mel Siegel, Chieh-Chih Wang, and Teruko Yata
Proceedings of International Advanced Robotics Programme IEEE, May, 2001.


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Abstract
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.

Notes
Associated Center(s) / Consortia: Vision and Autonomous Systems Center
Associated Lab(s) / Group(s): NavLab

Text Reference
Chuck Thorpe, Olivier Clatz, David Duggins, Jay Gowdy, Robert MacLachlan, James Ryan Miller , Christoph Mertz, Mel Siegel, Chieh-Chih Wang, and Teruko Yata, "Dependable Perception for Robots," Proceedings of International Advanced Robotics Programme IEEE, May, 2001.

BibTeX Reference
@inproceedings{Thorpe_2001_3724,
   author = "Chuck Thorpe and Olivier Clatz and David Duggins and Jay Gowdy and Robert MacLachlan and James Ryan {Miller } and Christoph Mertz and Mel Siegel and Chieh-Chih Wang and Teruko Yata",
   title = "Dependable Perception for Robots",
   booktitle = "Proceedings of International Advanced Robotics Programme IEEE",
   publisher = "Robotics and Automation Society",
   address = "Seoul, Korea",
   month = "May",
   year = "2001",
}