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MOSA C2 for Autonomous Vehicles to Counter UAS, SWARM, and Ground-Based Robotic Threats SAIC
- Format:
- Book
- Conference/Event
- Author/Creator:
- Davidson, Jeremy, author.
- Conference Name:
- 2025 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium (2025-08-12 : Novi, Michigan, United States)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2025
- Summary:
- A Modular Open Systems Approach (MOSA) for command and control (C2) of autonomous vehicles equipped with sensor and defeat mechanisms enhances force protection against unmanned aerial systems (UAS), swarm, and ground-based robotic threats with current technology while providing an adaptable framework able to accommodate technological advances. This approach emphasizes modularity, which allows for independent upgrades and maintenance; interoperability, which ensures seamless integration with other systems; and scalability, which enables the system to grow and adapt to increasing threats and new technologies all of which are essential for managing complex, dynamic, and evolving operational threats from UAS, swarm, and ground-based robots. The proposed systems approach is designed around component-based modules with standardized interfaces, ensuring ease of integration, maintenance, and upgrades. The integration of diverse sensors through plug-and-play capabilities and multi-sensor fusion enhances the detection, tracking, and identification of aerial and ground threats. Autonomous decision-making is empowered by artificial intelligence (AI) and machine learning (ML) algorithms and supported by edge and cloud computing for efficient data processing while retaining human-in-the-loop confirmation prior to threat defeat activation. Lifecycle management strategies with a continuous integration/continuous development (CI/CD) pipeline enable rapid updates and a scalable architecture to accommodate evolving threats and new technologies
- Notes:
- Vendor supplied data
- Publisher Number:
- 2025-01-0435
- Access Restriction:
- Restricted for use by site license
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