TY - GEN
T1 - Fence Following by an Autonomous Mobile Robot Including Various Intersections
AU - Ueda, Naoki
AU - Maeyama, Shoichi
AU - Watanabe, Keigo
N1 - Funding Information:
This research was partially supported by the Regional Strategy Project of NARO(The National Agriculture and Food Research Organization)/BRAIN(Bio-oriented Technology Research Advancement Institution).
Publisher Copyright:
© 2018 IEEE.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019/1/16
Y1 - 2019/1/16
N2 - Demands to use washing robots in pig houses are growing up. The robot washes pig beds using a long arm over fences from passages. The passage is narrow so that the robot must detect the fences and run along the fences with high accuracy. A laser range scanner is useful to detect fences because there are many kinds of fences. However, the noises occur to the measured values if there are obstacles behind fences. In this study, the distance between scanned points and a path of robot is calculated and it is utilized with a zoned minimum filter to extract the points representing the fences. Then, the candidate lines are detected from the extracted points by Hough transform to detect multiple fences simultaneously. To run along the fences, the robot calculates the self-posture and distance to the detected fences. This paper describes the above proposed method and reports some experimental results of running along the fences and passing various intersections.
AB - Demands to use washing robots in pig houses are growing up. The robot washes pig beds using a long arm over fences from passages. The passage is narrow so that the robot must detect the fences and run along the fences with high accuracy. A laser range scanner is useful to detect fences because there are many kinds of fences. However, the noises occur to the measured values if there are obstacles behind fences. In this study, the distance between scanned points and a path of robot is calculated and it is utilized with a zoned minimum filter to extract the points representing the fences. Then, the candidate lines are detected from the extracted points by Hough transform to detect multiple fences simultaneously. To run along the fences, the robot calculates the self-posture and distance to the detected fences. This paper describes the above proposed method and reports some experimental results of running along the fences and passing various intersections.
KW - fence
KW - laser range scanner
KW - mobile robot
UR - http://www.scopus.com/inward/record.url?scp=85062228086&partnerID=8YFLogxK
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U2 - 10.1109/SMC.2018.00298
DO - 10.1109/SMC.2018.00298
M3 - Conference contribution
AN - SCOPUS:85062228086
T3 - Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
SP - 1723
EP - 1728
BT - Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
Y2 - 7 October 2018 through 10 October 2018
ER -