The Transactions of the Korean Institute of Electrical Engineers D (대한전기학회논문지:시스템및제어부문D)

The Korean Institute of Electrical Engineers (대한전기학회)
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Prediction and Avoidance of the Moving Obstacles Using the Kalman Filters and Fuzzy Algorithm

칼만 필터와 퍼지 알고리즘을 이용한 이동 장애물의 위치예측 및 회피에 관한 연구

  • Published : 2005.05.01
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Abstract

In this paper, we propose a predictive system for the avoidance of the moving obstacle. In the dynamic environment, robots should travel to the target point without collision with the moving obstacle. For this, we need the prediction of the position and velocity of the moving obstacle. So, we use the Kalman filer algorithm for the prediction. And for the application of the Kalman filter algorithm about the real time travel, we obtain the position of the obstacle which has the future time using Fuzzy system. Through the computer simulation studies, we show the effectiveness of the proposed navigational algorithm for autonomous mobile robots.

Keywords

References

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