About the book
This book will analyze recent state-of-the-art innovations within the broader area of Autonomous Vehicles. Navigation is achieved using a mixture of the following techniques: localization and mapping, path planning, sensing and tracking systems, identification and motion control, coordinated and cooperative control, position and velocity estimation, GNSS, GPS, INS and Kalman filtering. Various components assist autonomous navigation, such as: simulation, reconfigurable parallel processing, neural networks, machine learning, cyber-secure communications protocols, smart sensors, thermal cameras, radars, sonar, 3D laser scanners, high resolution mapping, SLAM, collision avoidance techniques, traction control, vehicle dynamics and safety, batteries, fuel-cells and motors. Applications exist in the following areas: micro-robots, robotic vehicles, multi-vehicle systems, electric and hybrid vehicles, automotive engineering, surveillance systems, intelligent transport systems (ITS), remotely operated vehicles (ROVs), autonomous ground vehicles (AGVs), autonomous underwater vehicles (AUVs), drones, unmanned aerial vehicles (UAVs), unmanned aircraft systems (UASs), rockets, aerospace engineering and space engineering. We hope this book will be beneficial to both professionals, researchers and academicians and, moreover, to inspire the younger generations into pursuing relevant academic studies and professional careers within the Autonomous Vehicle field.