Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/140510
Title: Point cloud based path planning for tower crane lifting
Authors: Huang, Lihui
Zhang, Yuzhe
Zheng, Jianmin
Cai, Panpan
Dutta, Souravik
Yue, Yufeng
Thalmann, Nadia
Cai, Yiyu
Keywords: Engineering::Computer science and engineering
Issue Date: 2018
Source: Huang, L., Zhang, Y., Zheng, J., Cai, P., Dutta, S., Yue, Y., ... Cai, Y. (2018). Point cloud based path planning for tower crane lifting. Proceedings of Computer Graphics International 2018, 211-215. doi:10.1145/3208159.3208186
Project: NRF2015VSG-AA3DCM001-018
Abstract: This paper discusses automatic path planning for tower crane lifting in highly complex environments to be digitized using point cloud representation. A mathematical optimization technique is developed to identify the lifting path with GPU accelerated massively parallel genetic algorithm. A continuous collision detection method is designed for real time application of collision avoidance during the crane lifting process.
URI: https://hdl.handle.net/10356/140510
DOI: 10.1145/3208159.3208186
Rights: © 2018 The Author(s) (Published by ACM). All rights reserved. This paper was published in Proceedings of Computer Graphics International 2018 and is made available with permission of The Author(s) (Published by ACM).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:IMI Conference Papers

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