On-Road Intelligent Vehicles

Motion Planning for Intelligent Transportation Systems

Nonfiction, Science & Nature, Technology, Engineering, Automotive, Computers, Advanced Computing, Artificial Intelligence
Cover of the book On-Road Intelligent Vehicles by Rahul Kala, Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Rahul Kala ISBN: 9780128037560
Publisher: Elsevier Science Publication: April 27, 2016
Imprint: Butterworth-Heinemann Language: English
Author: Rahul Kala
ISBN: 9780128037560
Publisher: Elsevier Science
Publication: April 27, 2016
Imprint: Butterworth-Heinemann
Language: English

On-Road Intelligent Vehicles: Motion Planning for Intelligent Transportation Systems deals with the technology of autonomous vehicles, with a special focus on the navigation and planning aspects, presenting the information in three parts. Part One deals with the use of different sensors to perceive the environment, thereafter mapping the multi-domain senses to make a map of the operational scenario, including topics such as proximity sensors which give distances to obstacles, vision cameras, and computer vision techniques that may be used to pre-process the image, extract relevant features, and use classification techniques like neural networks and support vector machines for the identification of roads, lanes, vehicles, obstacles, traffic lights, signs, and pedestrians.

With a detailed insight into the technology behind the vehicle, Part Two of the book focuses on the problem of motion planning. Numerous planning techniques are discussed and adapted to work for multi-vehicle traffic scenarios, including the use of sampling based approaches comprised of Genetic Algorithm and Rapidly-exploring Random Trees and Graph search based approaches, including a hierarchical decomposition of the algorithm and heuristic selection of nodes for limited exploration, Reactive Planning based approaches, including Fuzzy based planning, Potential Field based planning, and Elastic Strip and logic based planning.

Part Three of the book covers the macroscopic concepts related to Intelligent Transportation Systems with a discussion of various topics and concepts related to transportation systems, including a description of traffic flow, the basic theory behind transportation systems, and generation of shock waves.

  • Provides an overall coverage of autonomous vehicles and Intelligent Transportation Systems
  • Presents a detailed overview, followed by the challenging problems of navigation and planning
  • Teaches how to compare, contrast, and differentiate navigation algorithms
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

On-Road Intelligent Vehicles: Motion Planning for Intelligent Transportation Systems deals with the technology of autonomous vehicles, with a special focus on the navigation and planning aspects, presenting the information in three parts. Part One deals with the use of different sensors to perceive the environment, thereafter mapping the multi-domain senses to make a map of the operational scenario, including topics such as proximity sensors which give distances to obstacles, vision cameras, and computer vision techniques that may be used to pre-process the image, extract relevant features, and use classification techniques like neural networks and support vector machines for the identification of roads, lanes, vehicles, obstacles, traffic lights, signs, and pedestrians.

With a detailed insight into the technology behind the vehicle, Part Two of the book focuses on the problem of motion planning. Numerous planning techniques are discussed and adapted to work for multi-vehicle traffic scenarios, including the use of sampling based approaches comprised of Genetic Algorithm and Rapidly-exploring Random Trees and Graph search based approaches, including a hierarchical decomposition of the algorithm and heuristic selection of nodes for limited exploration, Reactive Planning based approaches, including Fuzzy based planning, Potential Field based planning, and Elastic Strip and logic based planning.

Part Three of the book covers the macroscopic concepts related to Intelligent Transportation Systems with a discussion of various topics and concepts related to transportation systems, including a description of traffic flow, the basic theory behind transportation systems, and generation of shock waves.

More books from Elsevier Science

Cover of the book Nickel and Chromium Plating by Rahul Kala
Cover of the book Uncertainties in GPS Positioning by Rahul Kala
Cover of the book Caldera Volcanism by Rahul Kala
Cover of the book Trends in Oil and Gas Corrosion Research and Technologies by Rahul Kala
Cover of the book Principles of Data Integration by Rahul Kala
Cover of the book Advances in Inorganic Chemistry by Rahul Kala
Cover of the book Global Health Informatics by Rahul Kala
Cover of the book Water Gas Shift Reaction by Rahul Kala
Cover of the book Insect Growth Disruptors by Rahul Kala
Cover of the book Encapsulation Technologies and Delivery Systems for Food Ingredients and Nutraceuticals by Rahul Kala
Cover of the book Parasitoids of Drosophila by Rahul Kala
Cover of the book Inhaled Pharmaceutical Product Development Perspectives by Rahul Kala
Cover of the book Welding Deformation and Residual Stress Prevention by Rahul Kala
Cover of the book Cork: Biology, Production and Uses by Rahul Kala
Cover of the book Conceptual Background and Bioenergetic/Mitochondrial Aspects of Oncometabolism by Rahul Kala
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy