Point cloud based path planning for tower crane lifting

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 continuou...

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Main Authors:	Huang, Lihui, Zhang, Yuzhe, Zheng, Jianmin, Cai, Panpan, Dutta, Souravik, Yue, Yufeng, Thalmann, Nadia, Cai, Yiyu
Other Authors:	School of Computer Science and Engineering
Format:	Conference or Workshop Item
Language:	English
Published:	2020
Subjects:	Engineering::Computer science and engineering Automatic Lifting Path Planning 3D Simulation
Online Access:	https://hdl.handle.net/10356/140510
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-140510
record_format	dspace
spelling	sg-ntu-dr.10356-1405102020-09-26T21:52:44Z Point cloud based path planning for tower crane lifting Huang, Lihui Zhang, Yuzhe Zheng, Jianmin Cai, Panpan Dutta, Souravik Yue, Yufeng Thalmann, Nadia Cai, Yiyu School of Computer Science and Engineering School of Mechanical and Aerospace Engineering Proceedings of Computer Graphics International 2018 Institute for Media Innovation (IMI) Engineering::Computer science and engineering Automatic Lifting Path Planning 3D Simulation 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. NRF (Natl Research Foundation, S’pore) Accepted version 2020-05-29T10:35:23Z 2020-05-29T10:35:23Z 2018 Conference Paper 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 https://hdl.handle.net/10356/140510 10.1145/3208159.3208186 211 215 en NRF2015VSG-AA3DCM001-018 © 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). application/pdf
institution	Nanyang Technological University
building	NTU Library
country	Singapore
collection	DR-NTU
language	English
topic	Engineering::Computer science and engineering Automatic Lifting Path Planning 3D Simulation
spellingShingle	Engineering::Computer science and engineering Automatic Lifting Path Planning 3D Simulation Huang, Lihui Zhang, Yuzhe Zheng, Jianmin Cai, Panpan Dutta, Souravik Yue, Yufeng Thalmann, Nadia Cai, Yiyu Point cloud based path planning for tower crane lifting
description	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.
author2	School of Computer Science and Engineering
author_facet	School of Computer Science and Engineering Huang, Lihui Zhang, Yuzhe Zheng, Jianmin Cai, Panpan Dutta, Souravik Yue, Yufeng Thalmann, Nadia Cai, Yiyu
format	Conference or Workshop Item
author	Huang, Lihui Zhang, Yuzhe Zheng, Jianmin Cai, Panpan Dutta, Souravik Yue, Yufeng Thalmann, Nadia Cai, Yiyu
author_sort	Huang, Lihui
title	Point cloud based path planning for tower crane lifting
title_short	Point cloud based path planning for tower crane lifting
title_full	Point cloud based path planning for tower crane lifting
title_fullStr	Point cloud based path planning for tower crane lifting
title_full_unstemmed	Point cloud based path planning for tower crane lifting
title_sort	point cloud based path planning for tower crane lifting
publishDate	2020
url	https://hdl.handle.net/10356/140510
_version_	1681056960748716032

Point cloud based path planning for tower crane lifting

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