Path Planning for Vehicles Operating in Uncertain 2D Environments

Path Planning for Vehicles Operating in Uncertain 2D-environments presents a survey that includes several path planning methods developed using fuzzy logic, grapho-analytical search, neural networks, and neural-like structures, procedures of genetic search, and unstable motion modes.

Autorentext
Director of Research and Development Institute of Robotics and Control Systems of Southern Federal University. Head of the Robotics and Intelligent Systems Laboratory

Inhalt

1. Position-Path Control of a Vehicle2. Neural Networking Path Planning Based on Neural-Like Structures3. Vehicles Fuzzy Control Under the Conditions of Uncertainty4. Genetic Algorithms Path Planning5. Graphic-Analytical Approaches to Vehicle's Motion Planning6. Motion Planning and Control Using Bionic Approaches Based on Unstable Modes