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Engineering Autonomous Vehicles and Robots: The DragonFly Modular-based Approach / Edition 1 by Shaoshan Liu







  • Engineering Autonomous Vehicles and Robots: The DragonFly Modular-based Approach / Edition 1

  • Shaoshan Liu

  • Page: 216

  • Format: pdf, ePub, mobi, fb2

  • ISBN: 9781119570561

  • Publisher: Wiley


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Download spanish books pdf Engineering Autonomous Vehicles and Robots: The DragonFly Modular-based Approach / Edition 1 by Shaoshan Liu FB2 RTF 9781119570561

Offers a step-by-step guide to building autonomous vehicles and robots, with source code and accompanying videos The first book of its kind on the detailed steps for creating an autonomous vehicle or robot, this book provides an overview of the technology and introduction of the key elements involved in developing autonomous vehicles, and offers an excellent introduction to the basics for someone new to the topic of autonomous vehicles and the innovative, modular-based engineering approach called DragonFly. Engineering Autonomous Vehicles and Robots: The DragonFly Modular-based Approach covers everything that technical professionals need to know about: CAN bus, chassis, sonars, radars, GNSS, computer vision, localization, perception, motion planning, and more. Particularly, it covers Computer Vision for active perception and localization, as well as mapping and motion planning. The book offers several case studies on the building of an autonomous passenger pod, bus, and vending robot. It features a large amount of supplementary material, including the standard protocol and sample codes for chassis, sonar, and radar. GPSD protocol/NMEA protocol and GPS deployment methods are also provided. Most importantly, readers will learn the philosophy behind the DragonFly modular-based design approach, which empowers readers to design and build their own autonomous vehicles and robots with flexibility and affordability. Offers progressive guidance on building autonomous vehicles and robots Provides detailed steps and codes to create an autonomous machine, at affordable cost, and with a modular approach Written by one of the pioneers in the field building autonomous vehicles Includes case studies, source code, and state-of-the art research results Accompanied by a website with supplementary material, including sample code for chassis/sonar/radar; GPS deployment methods; Vision Calibration methods Engineering Autonomous Vehicles and Robots is an excellent book for students, researchers, and practitioners in the field of autonomous vehicles and robots.

Chassis Technologies for Autonomous Robots and Vehicles
It is a modular and stable way of using software to interface with a vehicle's communications network and control systems. OpenCaret is part of: Engineering Autonomous Vehicles and Robots: The DragonFly Modular-based Approach US & Canada: +1 800 678 4333 · Worldwide: +1 732 981 0060 · Contact & Support 
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There is a newer edition of this item: These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics Engineering Autonomous Vehicles and Robots: The DragonFly Modular-based Approach (Wiley - IEEE.
Engineering Autonomous Vehicles and Robots: The DragonFly
Offers a step-by-step guide to building autonomous vehicles and robots, with source code and the innovative, modular-based engineering approach called DragonFly. ISBN: 978-1-119-57054-7 March 2020 Wiley-IEEE Press 216 Pages 
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is part of: Engineering Autonomous Vehicles and Robots: The DragonFly Modular-based Approach Chapter Abstract:Computer vision is an essential part of the modular design methodology for building autonomous vehicles and robots. US & Canada: +1 800 678 4333 · Worldwide: +1 732 981 0060 · Contact & Support 
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Shaoshan Liu (Author of Creating Autonomous Vehicle
Shaoshan Liu is the author of Creating Autonomous Vehicle Systems (3.75 avg rating, 4 ratings, 3.75 avg rating — 4 ratings — 7 editions Engineering Autonomous Vehi Engineering Autonomous Vehicles and Robots: The DragonFly Modular-based Approach really liked it 4.00 avg rating — 1 rating — 2 editions.




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