Comparison and fusion of vision and range measurements for robot pose estimation

TitleComparison and fusion of vision and range measurements for robot pose estimation
Publication TypeConference Paper
Year of Publication2007
AuthorsZingaretti P, Frontoni E
Conference Name2007 Mediterranean Conference on Control and Automation, MED
Abstract

Multiple sensor fusion for robot pose estimation has attracted a lot of interest in recent years. Monte Carlo Localization (MCL) is a common method for self-localization of a mobile robot under the assumption that a map of the environment is available. In this paper we first compare pure vision-based with sonar-based MCL approaches in terms of localization accuracy, and then we show how the fusion of vision and range measurements improves the overall accuracy. Experiments were performed in an environment with high perceptual aliasing like our department corridors. They demonstrated that fusing simple and computationally inexpensive sensory information, coming from omnidirectional cameras and sonar sensors, can allow a mobile robot to precisely locate itself. ©2007 IEEE.

URLhttp://www.scopus.com/inward/record.url?eid=2-s2.0-50249102768&partnerID=40&md5=fbd623d1f43921d58130364b7f5c60ec
DOI10.1109/MED.2007.4433854