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Dec 14, 2023
Research on Traffic Inspection Method in Urban Irregular Area Based on Multi-UAV
Authors: Guanghua Yue [email protected], Wentao Du [email protected], Jiangfeng Yue [email protected], Chenglong Liu [email protected], and Yuchuan Du [email protected]Author Affiliations
Publication: CICTP 2023
ABSTRACT
When multiple unmanned aerial vehicles (UAV) patrol urban traffic status, the complex road network, and high buildings lead to irregularities in the airspace above. In addition, the communication signals and positioning systems between multi-UAV are often easily blocked by buildings and plants. Traditional multi-UAV path planning algorithms cannot guarantee mission reliability. In this paper, we take the actual typical scene of urban environmental traffic inspection as an example and propose a distributed weak-sensing UAV swarm scanning coverage based on the action mechanism of neighboring members in the cluster, combined with the virtual artificial potential field method to constrain the consistent behavior system. This method can realize the adaptive scanning coverage of irregular areas by multi-UAV coordination under limited communication in the urban environment and avoid collisions between UAVs and buildings. It has a good application sweep coverage in urban traffic inspection in the future.
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Published online: Dec 14, 2023
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ASCE Technical Topics:
- Buildings
- Computer vision and image processing
- Construction engineering
- Construction management
- Engineering fundamentals
- Equipment and machinery
- Highway and road management
- Highway transportation
- Highways and roads
- Infrastructure
- Inspection
- Methodology (by type)
- Structural engineering
- Structures (by type)
- Traffic engineering
- Traffic management
- Transportation engineering
- Unmanned vehicles
- Urban and regional development
- Urban areas
Authors
Affiliations
1Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ., Shanghai, China; Henan Wanli Transportation Technology Group Co., Ltd., Xuchang, China. Email: [email protected]
2Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province, Univ. of Electronic Science and Technology of China, Chengdu, China. Email: [email protected]
3Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province, Univ. of Electronic Science and Technology of China, Chengdu, China. Email: [email protected]
4Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ., Shanghai, China. Email: [email protected]
5Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ., Shanghai, China. Email: [email protected]
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