Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

A Data Acquisition and Processing Method for Logistics AGV Obstacle Detection LiDAR

Authors
Tianxiang Yuan, Jie Zhu, Huizhi Gao
Corresponding Author
Tianxiang Yuan
Available Online July 2016.
DOI
https://doi.org/10.2991/iccia-17.2017.16How to use a DOI?
Keywords
Automated Guided Vehicle, Avoid obstacles, LiDAR, The data collection, The data processing.
Abstract
In the semi-structured logistics warehouse AGV (Automated Guided Vehicle) to achieve environmental awareness is the key to its own obstacle avoidance. In order to realize the purpose of logistics AGV, the paper first analyzes the working principle of LiDAR, and then designs and realizes the data acquisition and control of LiDAR. Finally, it is applied to the laser radar data processing is performed, including the reduction of the number of invalid data points and the adaptive threshold of the nearest neighbor clustering for regional segmentation. The results show that the laser radar data acquisition system and the real-time and effect of clustering segmentation have good effect on the subsequent feature point extraction and obstacle judgment.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
Part of series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
978-94-6252-361-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccia-17.2017.16How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Tianxiang Yuan
AU  - Jie Zhu
AU  - Huizhi Gao
PY  - 2016/07
DA  - 2016/07
TI  - A Data Acquisition and Processing Method for Logistics AGV Obstacle Detection LiDAR
BT  - 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 104
EP  - 111
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.16
DO  - https://doi.org/10.2991/iccia-17.2017.16
ID  - Yuan2016/07
ER  -