Cooperative Navigation of Unmanned Aerial Vehicles
Summary
Cooperative navigation of unmanned aerial vehicles (UAVs) encompasses strategies whereby multiple platforms share positioning, velocity and sensor data to improve overall situational awareness and mission performance. Rather than operating in isolation, UAVs communicate over datalinks or wireless networks to exchange range measurements, visual observations and inertial readings. This collaborative approach mitigates the limitations of individual sensors in challenging or GNSS-denied environments and supports applications such as search and rescue, precision agriculture and distributed surveillance. Advances in onboard processing, robust communication protocols and real-time sensor fusion algorithms have enabled formations of fixed-wing and rotary-wing UAVs to maintain tight relative geometry, adapt autonomously to sensor faults and preserve mission integrity under adversarial conditions. As a result, cooperative navigation is emerging as a key enabler for resilient aerial swarms and complex multi-agent operations that demand high reliability and precision.
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Cooperative Navigation of Unmanned Aerial Vehicles publication trend
The graph below shows the total number of articles in cooperative navigation of unmanned aerial vehicles across all publications each year (not limited to Nature Index journals).
Technical terms
Cooperative navigation: A strategy in which multiple UAVs exchange positional, inertial and sensor data to refine each platform’s navigation solution.
Sensor fusion: The process of combining heterogeneous measurements (e.g. visual, inertial, ranging) to produce a more accurate and robust estimate of position and orientation.
Ultra-Wideband (UWB): A radio technology using very short pulses across a wide frequency spectrum to achieve precise ranging and low-power communication.
Simultaneous Localization and Mapping (SLAM): An algorithmic framework that enables a moving vehicle to build a map of an unknown environment while simultaneously tracking its own pose within that map.
Dilution of Precision (DOP): A scalar metric expressing how measurement geometry influences the amplification of sensor errors in position estimates.
References
- IVU-AutoNav: Integrated Visual and UWB Framework for Autonomous Navigation. Drones (2025).
- Visual-inertial navigation assisted by a single UWB anchor with an unknown position. Satellite Navigation (2025).
- Cooperative navigation of unmanned aerial vehicle swarm based on cooperative dilution of precision. International Journal of Advanced Robotic Systems (2020).
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