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.

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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

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article

Coordinated Control of Unmanned Ground Vehicle and Unmanned Aerial Vehicle Under Line-of-Sight Maintenance Constraint

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Drones
UAV Applications and Optimization
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Coordinated Control of Unmanned Ground Vehicle and Unmanned Aerial Vehicle Under Line-of-Sight Maintenance Constraint

Bo Hou, Danyang Wang, Zhiliang Fan, Yao Chen, Xiyue Wen
article en

Abstract

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.

DronesVol. 10(2)
Northwestern Polytechnical University (CN), Southwestern University of Finance and Economics (CN), PLA Rocket Force University of Engineering (CN)
National Natural Science Foundation of China, Natural Science Basic Research Program of Shaanxi Province
Climate action
Openalex Percentile: Top 49%
UAV Applications and Optimization
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