TY - GEN
T1 - Summary of Trajectory Prediction Method for Unmanned Ground Vehicle
AU - Du, Xu
AU - Li, Aoran
AU - Li, Xueyuan
AU - Liu, Qi
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/6/24
Y1 - 2022/6/24
N2 - Unmanned Ground Vehicle (UGV) is currently the key research direction in the world. As an interdisciplinary complex, it covers machinery, computers, automation, ergonomics and other aspects. The application of UGV will liberate people from driving, reducing traffic accidents, and saving people's time and cost. As an important part of the UGV software system, trajectory prediction is very important to improve the security of UGV. This article classifies and summarizes various current prediction algorithms, puts forward the current problems of various algorithms, and looks forward to the future development direction.
AB - Unmanned Ground Vehicle (UGV) is currently the key research direction in the world. As an interdisciplinary complex, it covers machinery, computers, automation, ergonomics and other aspects. The application of UGV will liberate people from driving, reducing traffic accidents, and saving people's time and cost. As an important part of the UGV software system, trajectory prediction is very important to improve the security of UGV. This article classifies and summarizes various current prediction algorithms, puts forward the current problems of various algorithms, and looks forward to the future development direction.
KW - UGV
KW - trajectory prediction
UR - http://www.scopus.com/inward/record.url?scp=85140584818&partnerID=8YFLogxK
U2 - 10.1145/3548608.3559219
DO - 10.1145/3548608.3559219
M3 - Conference contribution
AN - SCOPUS:85140584818
T3 - ACM International Conference Proceeding Series
SP - 340
EP - 343
BT - Proceedings of 2022 2nd International Conference on Control and Intelligent Robotics, ICCIR 2022
PB - Association for Computing Machinery
T2 - 2nd International Conference on Control and Intelligent Robotics, ICCIR 2022
Y2 - 24 June 2022 through 26 June 2022
ER -
