Obstacle Detection on Heterogeneous Surfaces Using Color and Geometric Cues

Luis J. Manso, Pablo Bustos, Pilar Bachiller, Jose Moreno-delPozo

Research output: Chapter in Book/Published conference outputConference publication

Abstract

Autonomous navigation is one of the most essential capabilities of autonomous robots. In order to navigate autonomously, robots need to detect obstacles. While many approaches achieve good results tackling this problem with lidar sensor devices, vision based approaches are cheaper and richer solutions. This paper presents an algorithm for obstacle detection using a stereo camera pair that overcomes some of the limitations of the existing algorithms and performs better on heterogeneous circumstances. We use both geometric and color based cues in order to improve its robustness. The contributions of the paper are improvements to the state of the art on single and multiple cue obstacle detection algorithms and a new heuristic method for merging its outputs.
Original languageEnglish
Title of host publicationProceedings of Workshop of Physical Agents
Place of PublicationSpain
Pages95-101
ISBN (Electronic)978-84-692-3220-0
Publication statusPublished - 11 Sep 2009

Fingerprint

Dive into the research topics of 'Obstacle Detection on Heterogeneous Surfaces Using Color and Geometric Cues'. Together they form a unique fingerprint.

Cite this