TY - GEN
T1 - Depth Image-based Distance Measurement for Two-wheeled Robots
AU - Jhou, Jian Hua
AU - Lin, Yu Po
AU - Leu, Yih Guang
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - In this paper, the two-wheeled robot is combined with Kinect sensor to measure obstacle distance. When the two-wheeled robot autonomously balances or moves, the ranging value will be unstable due to the shaking of the two-wheeled robots. This paper uses a smart prediction method to correct the ranging error value in order to increase the accuracy of ranging value and the obstacle avoidance decision. Finally, in order to verify the proposed method, some experiments are performed.
AB - In this paper, the two-wheeled robot is combined with Kinect sensor to measure obstacle distance. When the two-wheeled robot autonomously balances or moves, the ranging value will be unstable due to the shaking of the two-wheeled robots. This paper uses a smart prediction method to correct the ranging error value in order to increase the accuracy of ranging value and the obstacle avoidance decision. Finally, in order to verify the proposed method, some experiments are performed.
UR - http://www.scopus.com/inward/record.url?scp=85062394171&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062394171&partnerID=8YFLogxK
U2 - 10.1109/CACS.2018.8606747
DO - 10.1109/CACS.2018.8606747
M3 - Conference contribution
AN - SCOPUS:85062394171
T3 - 2018 International Automatic Control Conference, CACS 2018
BT - 2018 International Automatic Control Conference, CACS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Automatic Control Conference, CACS 2018
Y2 - 4 November 2018 through 7 November 2018
ER -