Under the assumption of known motion of a robot, environmental maps of a real scene can be successfully generated by monitoring azimuth changes in an image. Several researchers have used this property for robot navigation. However, it is dificult to observe the exact motion parameters of the robot because of encoder measurement error. Therefore, observational errors in the generated environmental map accumulate in long movements of the robot. To generate a large environmental map, it is desirable not to assume known robot motion. I n this paper, under the assumption of unknown motions of the robot, we propose a method to generate an environmental map and estimate the egomotion of a robot, by using an omnidirectional image sensor.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.