A Secure and Robust Approach for Distance-Based Mutual Positioning of Unmanned Aerial Vehicles
–arXiv.org Artificial Intelligence
Unmanned aerial vehicle (UAV) is becoming increasingly important in modern civilian and military applications. However, its novel use cases is bottlenecked by conventional satellite and terrestrial localization technologies, and calling for complementary solutions. Multi-UAV mutual positioning can be a potential answer, but its accuracy and security are challenged by inaccurate and/or malicious measurements. This paper proposes a novel, robust, and secure approach to address these issues.
arXiv.org Artificial Intelligence
Jan-9-2024
- Country:
- Asia > China (0.04)
- Europe > Germany
- Rhineland-Palatinate > Kaiserslautern (0.05)
- Genre:
- Research Report (0.64)
- Industry:
- Aerospace & Defense > Aircraft (0.61)
- Information Technology
- Robotics & Automation (0.61)
- Security & Privacy (0.46)
- Technology:
- Information Technology
- Data Science > Data Mining (0.69)
- Communications > Networks (0.69)
- Artificial Intelligence
- Machine Learning (0.95)
- Robots > Autonomous Vehicles
- Drones (1.00)
- Information Technology