AVHMS: Autonomous Vehicle Health Monitoring System for Aircraft Performance Optimization with AI enabled Sensor Fusion, Real-Time Data Display & Response, and Adaptive Center of Gravity & Gross Weight Estimation

Viele Exploratory Sustainable Solutions LLC (VESS) and its team propose to develop and integrate an Autonomous Vehicle Health Monitoring System (AVHMS) for Performance Optimization with AI enabled Sensor Fusion, Real-Time Data Display & Response, and Adaptive Center of Gravity (CG) & Gross Weight Estimation. Our solution leverages AI/ML technologies and advanced sensing systems to create a real-time autonomous vehicle health monitoring solution with adaptive response for optimization of the autonomous vehicles performance. State-of-the-Art Advancement: By prioritizing stability, energy efficiency, and safety, this system aims to contribute to the evolution of autonomous vehicle technology, paving the way for safer, more efficient, and adaptive autonomous vehicle solutions for manned-unmanned teaming initiatives, and air superiority. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into the vehicle's operations introduces a transformative approach to dynamically adjust and optimize the vehicle’s operational capabilities including center of gravity. Thereby enhancing the vehicles performance characteristics to an ever-changing environment. Enabling superior real-time maneuverability and operational performance during autonomous vehicle missions. By seamlessly integrating into existing autonomous systems, AVHMS becomes a force multiplier, enhancing mission success rates, reducing maintenance downtime, and providing a data-driven edge in optimizing flight planning and fuel efficiency.