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Integration of AI for Autonomous Navigation in Hovercrafts
Abstract
This chapter delves into the integration of artificial intelligence (AI) for enhancing autonomous navigation in hovercrafts, highlighting key design frameworks, technologies, and algorithms. It explores how AI optimizes the complex interplay between propulsion, lift, and steering systems, enabling adaptive real-time decision-making for efficient manoeuvring over various terrains. Emphasis is placed on sensor fusion techniques, machine learning for environmental recognition, and control systems to handle dynamic conditions. Applications in search and rescue operations, military missions, and coastal monitoring showcase AI's practical benefits. Challenges, including maintaining stability, overcoming unpredictable environmental factors, and ensuring safety protocols, are also discussed. The chapter concludes by outlining pathways for future advancements that could revolutionize hovercraft efficiency and expand their operational landscape.
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