UAV Intelligent Control Based on Machine Vision and Multiagent Decision-Making
In order to improve the effect of UAV intelligent control, this paper will improve machine vision technology. Moreover, this paper adds scale information on the basis of the LSD algorithm, uses the multiline segment standard to merge these candidate line segments for intelligent recognition, and use...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2022/8908122 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832553606879903744 |
|---|---|
| author | Zishan Huang |
| author_facet | Zishan Huang |
| author_sort | Zishan Huang |
| collection | DOAJ |
| description | In order to improve the effect of UAV intelligent control, this paper will improve machine vision technology. Moreover, this paper adds scale information on the basis of the LSD algorithm, uses the multiline segment standard to merge these candidate line segments for intelligent recognition, and uses the LSD detection algorithm to improve the operating efficiency of the UAV control system and reduce the computational complexity. In addition, this paper combines machine vision technology and multiagent decision-making technology for UAV intelligent control and builds an intelligent control system, which uses intelligent machine vision technology for recognition and multiagent decision-making technology for motion control. The research results show that the UAV intelligent control system based on machine vision and multiagent decision-making proposed in this paper can achieve reliable control of UAVs and improve the work efficiency of UAVs. |
| format | Article |
| id | doaj-art-65a546a247bd4d4e86ee9a69a7998879 |
| institution | Kabale University |
| issn | 1687-5699 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-65a546a247bd4d4e86ee9a69a79988792025-02-03T05:53:35ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/8908122UAV Intelligent Control Based on Machine Vision and Multiagent Decision-MakingZishan Huang0School of Electrical and Electronic EngineeringIn order to improve the effect of UAV intelligent control, this paper will improve machine vision technology. Moreover, this paper adds scale information on the basis of the LSD algorithm, uses the multiline segment standard to merge these candidate line segments for intelligent recognition, and uses the LSD detection algorithm to improve the operating efficiency of the UAV control system and reduce the computational complexity. In addition, this paper combines machine vision technology and multiagent decision-making technology for UAV intelligent control and builds an intelligent control system, which uses intelligent machine vision technology for recognition and multiagent decision-making technology for motion control. The research results show that the UAV intelligent control system based on machine vision and multiagent decision-making proposed in this paper can achieve reliable control of UAVs and improve the work efficiency of UAVs.http://dx.doi.org/10.1155/2022/8908122 |
| spellingShingle | Zishan Huang UAV Intelligent Control Based on Machine Vision and Multiagent Decision-Making Advances in Multimedia |
| title | UAV Intelligent Control Based on Machine Vision and Multiagent Decision-Making |
| title_full | UAV Intelligent Control Based on Machine Vision and Multiagent Decision-Making |
| title_fullStr | UAV Intelligent Control Based on Machine Vision and Multiagent Decision-Making |
| title_full_unstemmed | UAV Intelligent Control Based on Machine Vision and Multiagent Decision-Making |
| title_short | UAV Intelligent Control Based on Machine Vision and Multiagent Decision-Making |
| title_sort | uav intelligent control based on machine vision and multiagent decision making |
| url | http://dx.doi.org/10.1155/2022/8908122 |
| work_keys_str_mv | AT zishanhuang uavintelligentcontrolbasedonmachinevisionandmultiagentdecisionmaking |