• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.816-819
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• 2005

This paper proposes a coordinate correction technique using the transformation of 3D parabolic coordinate function and BP(Back Propagation) neural network in order to solve space distortion problem caused by using catadioptric camera. Although Catadioptric camera can obtain omni-directional image at all directions of 360 degrees, it makes an image distorted because of an external form of lens itself. Accordingly, To obtain transformed ideal distance coordinate information from distorted image on 3 dimensional space, we use coordinate transformation function that uses coordinates of a focus at mirror in the shape of parabolic plane and another one which projected into the shape of parabolic from input image. An error of this course is modified by BP neural network algorithm.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.1821_1822
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• 2009

본 논문에서는 실내 GPS(indoor GPS) 센서와 전방향 비전센서(Omni-directional Mirror)를 융합하여 랜드 마크가 있는 환경에서 선형 위치 추정 알고리즘을 이용한 이동 로봇을 위한 위치 추정 시스템을 제안한다.