Environmental Perception Technology for Unmanned Systems

Author:   Xin Bi
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2021
ISBN:  

9789811580956


Pages:   252
Publication Date:   02 October 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Environmental Perception Technology for Unmanned Systems


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Overview

This book focuses on the principles and technology of environmental perception in unmanned systems. With the rapid development of a new generation of information technologies such as automatic control and information perception, a new generation of robots and unmanned systems will also take on new importance. This book first reviews the development of autonomous systems and subsequently introduces readers to the technical characteristics and main technologies of the sensor. Lastly, it addresses aspects including autonomous path planning, intelligent perception and autonomous control technology under uncertain conditions. For the first time, the book systematically introduces the core technology of autonomous system information perception. 

Full Product Details

Author:   Xin Bi
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2021
Weight:   0.409kg
ISBN:  

9789811580956


ISBN 10:   9811580952
Pages:   252
Publication Date:   02 October 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.
Language:   English

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Author Information

Xin Bi is working for the automotive academy of Tongji University. During the work at the Chinese academy of sciences, he has been engaged in the robot technology, signal and information processing technology, robots and unmanned systems intelligent sensing technology research and development, mainly involving microwave millimeter wave radar detection and imaging, intelligent vehicle and unmanned aerial vehicle environment perception system, intelligent traffic control system optimization and modeling intelligent sensing technology. As a project leader, he presided over a number of national and provincial projects. 

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