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Environmental map generation and egomotion estimation in a dynamic environment for an omnidirectional image sensor

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3 Author(s)
Yagi, Y. ; Dept. of Syst. & Human Sci., Osaka Univ., Japan ; Shouya, K. ; Yachida, M.

Generation of a stationary environmental map is one of the important tasks for vision based robot navigation. 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. In this paper, under the assumption of unknown translational motions of the robot, we propose a method to generate a stationary environmental map, and estimate the egomotion of a robot in a dynamic environment by using an omnidirectional image sensor. Since both robot and objects move in the environment, the stationary map generation and the robot egomotion estimation by using a single camera are difficult because of correspondence ambiguity caused by occlusion. The proposed method can detect a moving object and find occlusion and mismatching by evaluating the estimation error of each object location

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Robotics and Automation, 2000. Proceedings. ICRA '00. IEEE International Conference on  (Volume:4 )

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