Path Planning for Vehicles Operating in Uncertain 2D Environments

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

Viacheslav Pshikhopov (Author)

9780128123058, Elsevier Science

Paperback, published 1 February 2017

312 pages
22.9 x 15.1 x 2 cm, 0.45 kg

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.

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

Subject Areas: Robotics [TJFM1]