Optimal Robot Self-Localization and Accuracy Bounds
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概要
- 論文の詳細を見る
We discuss optimal estimation of the current location of a mobile robot by matching an image of the scene taken by the robot with the model of the environment. We first present a theoretical accuracy bound and then give a method that attains that bound, which can be viewed as describing the probability distribution of the current location. Using real images, we demonstrate that our method is superior to the naive least-squares method. We also confirm the theoretical predictions of our theory by applying the bootstrap procedure.
- 一般社団法人電子情報通信学会の論文
- 1999-02-25
著者
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Kanatani Kenichi
Department Of Computer Science Gunma University
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Ohta Naoya
Department Of Computer Science Gunma University
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