Point cloud based path planning for tower crane lifting

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...

Full description

Saved in:
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 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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
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.

Similar Items