Path Planning for Vehicles Operating in Uncertain 2D Environments [Paperback]

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.

• Presents a survey of accounting limitations imposed by vehicle dynamics
• Proposes modified and new original methods, including neural networking, grapho-analytical, and nature-inspired
• Gives tools for a novice researcher to select a method that would suit their needs or help to synthesize new hybrid methods

1. Position-Path Control of a Vehicle 2. Neural Networking Path Planning Based on Neural-Like Structures 3. Vehicles Fuzzy Control Under the Conditions of Uncertainty 4. Genetic Algorithms Path Planning 5. Graphic-Analytical Approaches to Vehicle's Motion Planning 6. Motion Planning and Control Using Bionic Approaches Based on Unstable Modes

A complex estimation and a comparative analysis of grapho-analytical and intelligent methods of vehicle path planning under conditions of environmental uncertainty