TY - GEN
T1 - The design of practical mapping system for mobile robots using laser range sensor
AU - Lee, Yu Cheol
AU - Yu, Wopil
PY - 2009
Y1 - 2009
N2 - This paper proposed an efficient mapping system which has been implemented on a mobile cart equipped with a laser range sensor and dead reckoning sensors. The practical mapping system to generate accurate maps in unknown environments is one of the main requirements for mobile robots. The mapping system is divided into hardware and software parts. The hardware part, mobile cart, consisted of two encoders, laser range sensor and a DSP board. Two encoders mounted on each back wheel of the mobile cart measure the distance traveled. The laser range sensor measures the distance from the nearest object to the sensor. The DSP board synchronizes the measured data from the encoders and the laser sensor and provides them to software part. The software part builds a metric map in the environment based on extended Kalman filter (EKF) localization that takes into account both the distance traveled by encoders and the information gathered by laser sensor to estimating the position of mobile cart. The proposed system accommodates the demand for the modest and user-friendly mapping system which can be used to explore and construct the map into the robot environment. This strategy is based on a human-interactive system design and a strong mathematical foundations research; this is the distinctive feature of our approach and constitutes the main original contribution of this paper.
AB - This paper proposed an efficient mapping system which has been implemented on a mobile cart equipped with a laser range sensor and dead reckoning sensors. The practical mapping system to generate accurate maps in unknown environments is one of the main requirements for mobile robots. The mapping system is divided into hardware and software parts. The hardware part, mobile cart, consisted of two encoders, laser range sensor and a DSP board. Two encoders mounted on each back wheel of the mobile cart measure the distance traveled. The laser range sensor measures the distance from the nearest object to the sensor. The DSP board synchronizes the measured data from the encoders and the laser sensor and provides them to software part. The software part builds a metric map in the environment based on extended Kalman filter (EKF) localization that takes into account both the distance traveled by encoders and the information gathered by laser sensor to estimating the position of mobile cart. The proposed system accommodates the demand for the modest and user-friendly mapping system which can be used to explore and construct the map into the robot environment. This strategy is based on a human-interactive system design and a strong mathematical foundations research; this is the distinctive feature of our approach and constitutes the main original contribution of this paper.
UR - http://www.scopus.com/inward/record.url?scp=77951116400&partnerID=8YFLogxK
U2 - 10.1109/ICSENS.2009.5398457
DO - 10.1109/ICSENS.2009.5398457
M3 - Conference contribution
AN - SCOPUS:77951116400
SN - 9781424445486
T3 - Proceedings of IEEE Sensors
SP - 1482
EP - 1486
BT - IEEE Sensors 2009 Conference - SENSORS 2009
T2 - IEEE Sensors 2009 Conference - SENSORS 2009
Y2 - 25 October 2009 through 28 October 2009
ER -