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...
Saved in:
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: | |
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 |
Similar Items
-
Automatic re-planning of lifting paths for robotized tower cranes in dynamic BIM environments
by: Dutta, Souravik, et al.
Published: (2022) -
Automatic path planning for dual-crane lifting in complex environments using a prioritized multiobjective PGA
by: Cai, Panpan, et al.
Published: (2020) -
Intelligent lift motion planning for autonomous tower cranes in dynamic BIM environments
by: Dutta, Souravik
Published: (2022) -
Semi-Automated Vertical Flatbed Lifter (SAVeLift)
by: Cai, Qing Jing Huang, et al.
Published: (2007) -
Tower crane lifting
by: Loh, Weisong
Published: (2017)