TY - GEN
T1 - Research on Establishing Vehicle Driving Path in ADAMS Software by Ant Colony Algorithm
AU - Zhang, Zhengjie
AU - Chen, Fei
AU - Feng, Song
AU - Chen, Yuyi
AU - Cao, Yaoguang
AU - Yang, Shichun
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - ADAMS software is the one of the most influential software in the field of virtual prototype simulation analysis, design and development, and has been widely used in the field of automotive. To solve the problem that the pavement model cannot be established in ADAMS due to the inability of field measurement and the lack of drawings, this paper studies a method which can extract effective information only from the pictures. Firstly, the acquired pictures are preprocessed, and by means of graying, binarization, gaussian transformation and other processing means, the storage space and computing speed occupied by irrelevant data are reduced while the expression ability of the images is preserved. Then we do a directed sorting of the previously extracted pixel coordinates, this problem approximates a large-scale TSP problem. Finally, the results are imported into ADAMS for final simulation, which verifies the effectiveness of the method described in this paper.
AB - ADAMS software is the one of the most influential software in the field of virtual prototype simulation analysis, design and development, and has been widely used in the field of automotive. To solve the problem that the pavement model cannot be established in ADAMS due to the inability of field measurement and the lack of drawings, this paper studies a method which can extract effective information only from the pictures. Firstly, the acquired pictures are preprocessed, and by means of graying, binarization, gaussian transformation and other processing means, the storage space and computing speed occupied by irrelevant data are reduced while the expression ability of the images is preserved. Then we do a directed sorting of the previously extracted pixel coordinates, this problem approximates a large-scale TSP problem. Finally, the results are imported into ADAMS for final simulation, which verifies the effectiveness of the method described in this paper.
KW - ADAMS
KW - ant colony algorithm
KW - picture processing
UR - https://www.scopus.com/pages/publications/85080027121
U2 - 10.1109/CAC48633.2019.8997305
DO - 10.1109/CAC48633.2019.8997305
M3 - 会议稿件
AN - SCOPUS:85080027121
T3 - Proceedings - 2019 Chinese Automation Congress, CAC 2019
SP - 5468
EP - 5473
BT - Proceedings - 2019 Chinese Automation Congress, CAC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 Chinese Automation Congress, CAC 2019
Y2 - 22 November 2019 through 24 November 2019
ER -