An experimental analysis of classifier ensembles for learning drifting concepts over time in autonomous outdoor robot navigation [electronic resource]
Autonomous robot navigation in unstructured outdoor environments is a challenging area of active research and is currently unsolved. The navigation task requires identifying safe, traversable paths which allow the robot to progress toward a goal while avoiding obstacles. Stereo is an effective tool...
|Format:||Thesis Electronic eBook|