TY - GEN
T1 - 4G-based remote manual control for unmanned surface vehicles
AU - Zhu, Xiaohui
AU - Yan, Kai
AU - Kong, Supeng
AU - Yue, Yong
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/10/22
Y1 - 2019/10/22
N2 - Remote manual control for USVs is essential when a USV fails to navigate or traps into a complicated river. Conventional transmitters and receivers are widely used to provide the utility of remote manual control for USVs. However, constrained by the power of transmitter, the communication distance between the USV and the user is limited. In this paper, a 4G-based remote control system for USVs is proposed. With the help of live video from a camera deployed on the USV, users can remotely control the USV using an Android APP and the 4G network. Compared to traditional remote control methods, our approach dramatically extends the control distance and improves the control flexibility of USVs. The approach is applied to a USV for water quality monitoring. Experimental results show that it has small communication delay and can remotely control the USV during the navigation.
AB - Remote manual control for USVs is essential when a USV fails to navigate or traps into a complicated river. Conventional transmitters and receivers are widely used to provide the utility of remote manual control for USVs. However, constrained by the power of transmitter, the communication distance between the USV and the user is limited. In this paper, a 4G-based remote control system for USVs is proposed. With the help of live video from a camera deployed on the USV, users can remotely control the USV using an Android APP and the 4G network. Compared to traditional remote control methods, our approach dramatically extends the control distance and improves the control flexibility of USVs. The approach is applied to a USV for water quality monitoring. Experimental results show that it has small communication delay and can remotely control the USV during the navigation.
KW - 4G-based network
KW - Remote manual control
KW - Unmanned surface vehicle
KW - Water quality monitoring
UR - http://www.scopus.com/inward/record.url?scp=85074841749&partnerID=8YFLogxK
U2 - 10.1145/3331453.3361300
DO - 10.1145/3331453.3361300
M3 - Conference Proceeding
AN - SCOPUS:85074841749
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 3rd International Conference on Computer Science and Application Engineering, CSAE 2019
A2 - Emrouznejad, Ali
PB - Association for Computing Machinery
T2 - 3rd International Conference on Computer Science and Application Engineering, CSAE 2019
Y2 - 22 October 2019 through 24 October 2019
ER -