Autonomous Navigation: Achievements in Complex Environments

  title={Autonomous Navigation: Achievements in Complex Environments},
  author={Martin E. Adams},
  journal={2006 IEEE International Conference on Robotics and Biomimetics},
During the past decade, an explosion of interest in the estimation of an autonomous robot's location state and that of its surroundings, known as simultaneous localization and map building (SLAM), is evident. The goal of an autonomous vehicle performing SLAM is to build a map incrementally by using the uncertain information extracted from its sensors, while simultaneously using that map to localize itself with respect to a reference coordinate frame. To demonstrate the state of the art in… CONTINUE READING
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Millimetre Wave RADAR Power-Range Spectra Interpretation for Multiple Feature Detection,

  • M. Adams, E. Jose
  • Decision Making and Applications,
  • 2006
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Ibanez-Guzman, “Multi aided inertial navigation for ground vehicles in outdoor, uneven environments,

  • L. Bingbing, M. Adams
  • IEEE International Conference on Robotics and…
  • 2005
1 Excerpt

Probabilistic Robotics

  • S. Thrun, W. Burgard, D. Fox
  • Cambridge, MA: MIT Press
  • 2005
1 Excerpt

Pose invariant

  • F. Tang, M. Adams, J. Ibanez-Guzman, W. S. Wijesoma
  • robust feature extraction from range data with a…
  • 2004
1 Excerpt

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