TY - GEN
T1 - Real-time Display Method for Mining Vehicle Simulation based on Virtual reality
AU - Tang, Jianlin
AU - Gao, Yu
AU - Yu, Huilong
AU - Wang, Yile
AU - Ai, Yunfeng
AU - Cao, Dongpu
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - Mining vehicles are of high importance in the transportation industry, and autonomous mining vehicles have a great need in the coal mining industry. For autonomous mining vehicle testing, testing at the field test site is costly, time consuming, and extremely dangerous. This paper proposes a real-time display method of mining vehicle results based on virtual reality. The method design can display the simulation results in real time through the same simulation platform, so that the driver can intuitively feel the dynamic responsiveness of the mining vehicle, and then can control the mining vehicle of the virtual scene in real time. In addition, the analog driving function can also be realized by externally connecting components such as a steering wheel and a pedal. Based on the method proposed in this paper, comparing the results of the driver's control of the vehicle with the virtual track-based path tracking control, it is found that the autonomous path tracking control shows that the absolute advantage to the driver control with less error and smoother steering operation, so that the effectiveness of the mining vehicle path tracking control algorithm established in this paper is further verified.
AB - Mining vehicles are of high importance in the transportation industry, and autonomous mining vehicles have a great need in the coal mining industry. For autonomous mining vehicle testing, testing at the field test site is costly, time consuming, and extremely dangerous. This paper proposes a real-time display method of mining vehicle results based on virtual reality. The method design can display the simulation results in real time through the same simulation platform, so that the driver can intuitively feel the dynamic responsiveness of the mining vehicle, and then can control the mining vehicle of the virtual scene in real time. In addition, the analog driving function can also be realized by externally connecting components such as a steering wheel and a pedal. Based on the method proposed in this paper, comparing the results of the driver's control of the vehicle with the virtual track-based path tracking control, it is found that the autonomous path tracking control shows that the absolute advantage to the driver control with less error and smoother steering operation, so that the effectiveness of the mining vehicle path tracking control algorithm established in this paper is further verified.
KW - Matlab
KW - mining vehicle
KW - real-time
KW - simulaiton
KW - virtual reality
UR - http://www.scopus.com/inward/record.url?scp=85070588477&partnerID=8YFLogxK
U2 - 10.1109/ISIE.2019.8781381
DO - 10.1109/ISIE.2019.8781381
M3 - Conference contribution
AN - SCOPUS:85070588477
T3 - IEEE International Symposium on Industrial Electronics
SP - 1530
EP - 1535
BT - Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th IEEE International Symposium on Industrial Electronics, ISIE 2019
Y2 - 12 June 2019 through 14 June 2019
ER -