Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2009.07a
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- Pages.1812_1813
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- 2009
The design of trilateration Extended Kalman Filter for localization of mobile robot
이동 로봇의 위치 인식을 위한 삼변 측량 확장 칼만 필터 설계
- Yoo, Je-Yeon (Inha University) ;
- Kim, Jin-Hwan (Inha Technical College) ;
- Huh, Uk-Youl (Inha University)
- Published : 2009.07.14
Abstract
This paper presents an accurate indoor localization method of a mobile robot using ultrasonic sensors. The coordinates of mobile robot are calculated by using trilateration which is using the distance between the transmitter and receiver. At this time, the distances can't be accurately calculated by containing noise. We propose Extended Kalman Filter(EKF) to improve estimation accuracy. The performance of proposed EKF is evaluated by simulation program. As a result, we confirm that the errors in estimate of mobile robot's position are eliminated from measured distance.
Keywords