Edge Computing and Machine Learning Integration for Autonomous Electrical Vehicles

Abstract

The growth of autonomous small aircraft and drones has significantly impacted the aviation industry. This chapter provides a comprehensive guide for researchers, engineers, and enthusiasts interested in developing intelligent aerial systems. It also covers the fundamentals of edge computing and machine learning, the evolution of autonomous systems, and the design and implementation of edge computing architectures in small aircraft. The machine learning algorithms' applications in navigation, path planning, obstacle avoidance, and decision-making have also been discussed. The security and privacy of autonomous systems and ethical considerations in flight control have been illustrated. The project's future trends and emerging technologies are also elaborated.