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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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| File | Description | Size | Format | |
|---|---|---|---|---|
| CGI2018.pdf | 436.5 kB | Adobe PDF |  View/Open |
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