Coordinated Control of Unmanned Ground Vehicle and Unmanned Aerial Vehicle Under Line-of-Sight Maintenance Constraint
Cooperative operations in which a UAV advances ahead of a UGV to conduct forward reconnaissance are critical in disaster relief and urban inspection missions. Prevalent air–ground coordination methods operate under the assumption of ideal communication or treat connectivity as a secondary objective. However, obstacle occlusion, such as high-rise buildings in urban areas and mountainous terrain, results in Non-Line-of-Sight (NLOS) conditions, disrupting communication between the two platforms. To address these challenges, this paper introduces a cooperative control framework based on dynamically varying modulation matrices for both the UAV and the UGV. By evaluating and mapping occlusion risks in real time, the cooperative motions of the UAV and UGV are adaptively adjusted to maintain Line-of-Sight (LOS). An LOS assessment function is designed and mapped to the eigenvalues of the modulation matrices, enabling smooth and adaptive coordination under changing environmental conditions while avoiding the limitations of traditional discrete mode-switching strategies. Theoretical analysis and simulation results confirm that the proposed approach not only ensures stable LOS connectivity but also enhances trajectory smoothness, adaptability, and computational efficiency.
Authors
- Bo Hou (ORCID: https://orcid.org/0000-0002-3513-8187)
- Danyang Wang (ORCID: https://orcid.org/0000-0002-2933-6216)
- Zhiliang Fan (ORCID: https://orcid.org/0009-0008-0559-5513)
- Yao Chen
- Xiyue Wen
Institutions
- Northwestern Polytechnical University (CN)
- Southwestern University of Finance and Economics (CN)
- PLA Rocket Force University of Engineering (CN)
Publication Details
- Journal
- Drones
- Published
- 2026-02-22
- DOI
- https://doi.org/10.3390/drones10020151
- Primary Topic
- UAV Applications and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Basic Research Program of Shaanxi Province