Robust outdoor visual localization
Our research towards a robust outdoor visual localization system for autonomous vehicles in outdoor industrial applications has been published in the Journal of Field Robotics. The paper shows that reliable visual localization can be achieved in challenging outdoor conditions by combining an invariant map, a robust multihypothesis localization algorithm, and an intelligent exposure control algorithm.
Fisheye view from a vehicle-mounted camera
Stephen Nuske, Jonathan Roberts and Gordon Wyeth. "Robust outdoor visual localization using a three-dimensional-edge map." Journal of Field Robotics, Volume 26 Issue 9, Pages 728-756. 2009.
The paper is available here.
Read more on our work in outdoor vision here.
