Path Planning for Vehicles Operating in Uncertain 2D Environments

Path Planning for Vehicles Operating in Uncertain 2D Environments

by Viacheslav Pshikhopov

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Overview

Path Planning for Vehicles Operating in Uncertain 2D Environments by Viacheslav Pshikhopov

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

Product Details

ISBN-13: 9780128123058
Publisher: Elsevier Science
Publication date: 02/15/2017
Pages: 312
Product dimensions: 6.00(w) x 9.00(h) x (d)

About the Author

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

Table of Contents

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

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