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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Bibliographic Details
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 Paper
Language:	English
Published:	2020
Subjects:	Engineering::Computer science and engineering Automatic Lifting Path Planning 3D Simulation
Online Access:	https://hdl.handle.net/10356/140510

Description
Summary:	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.

Point cloud based path planning for tower crane lifting

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