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Principles of intelligent automobiles

Khan, Muhammad Mansoor.

Principles of intelligent automobiles

Record Type:	Electronic resources : Monograph/item
Title/Author:	Principles of intelligent automobilesby Xiubin Zhang, Muhammad Mansoor Khan.
Author:	Zhang, Xiubin.
other author:	Khan, Muhammad Mansoor.
Published:	Singapore :Springer Singapore :2019.
Description:	xiii, 279 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	AutomobilesAutomatic control.
Online resource:	https://doi.org/10.1007/978-981-13-2484-0
ISBN:	9789811324840$q(electronic bk.)

Principles of intelligent automobiles
Zhang, Xiubin.

Principles of intelligent automobiles[electronic resource] /by Xiubin Zhang, Muhammad Mansoor Khan. - Singapore :Springer Singapore :2019. - xiii, 279 p. :ill., digital ;24 cm.

Introduction -- Vehicle Driving Safety Technology Based on IVP -- Intelligent Prosecution of Dangerous Driving -- Intelligent Monitoring Technology of Automobile Power and Transmission System -- Vehicle Intelligent Navigation and Traffic System -- Vehicle Auxiliary Intelligent Technology.

This book discusses the principle of automotive intelligent technology from the point of view of modern sensing and intelligent control. Based on the latest research in the field, it explores safe driving with intelligent vision; intelligent monitoring of dangerous driving; intelligent detection of automobile power and transmission systems; intelligent vehicle navigation and transportation systems; and vehicle-assisted intelligent technology. It draws on the author's research in the field of automotive intelligent technology to explain the fundamentals of vehicle intelligent technology, from the information sensing principle to mathematical models and the algorithm basis, enabling readers to grasp the concepts of automotive intelligent technology. Opening up new scientific horizons and fostering innovative thinking, the book is a valuable resource for researchers as well as undergraduate and graduate students.

ISBN: 9789811324840$q(electronic bk.)

Standard No.: 10.1007/978-981-13-2484-0doiSubjects--Topical Terms:

225236
Automobiles
--Automatic control.

LC Class. No.: TL152.8 / .Z436 2019

Dewey Class. No.: 629.272

Principles of intelligent automobiles
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245 1 0 $a Principles of intelligent automobiles $h [electronic resource] / $c by Xiubin Zhang, Muhammad Mansoor Khan.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2019.
300 $a xiii, 279 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- Vehicle Driving Safety Technology Based on IVP -- Intelligent Prosecution of Dangerous Driving -- Intelligent Monitoring Technology of Automobile Power and Transmission System -- Vehicle Intelligent Navigation and Traffic System -- Vehicle Auxiliary Intelligent Technology.
520 $a This book discusses the principle of automotive intelligent technology from the point of view of modern sensing and intelligent control. Based on the latest research in the field, it explores safe driving with intelligent vision; intelligent monitoring of dangerous driving; intelligent detection of automobile power and transmission systems; intelligent vehicle navigation and transportation systems; and vehicle-assisted intelligent technology. It draws on the author's research in the field of automotive intelligent technology to explain the fundamentals of vehicle intelligent technology, from the information sensing principle to mathematical models and the algorithm basis, enabling readers to grasp the concepts of automotive intelligent technology. Opening up new scientific horizons and fostering innovative thinking, the book is a valuable resource for researchers as well as undergraduate and graduate students.
650 0 $a Automobiles $x Automatic control. $3 225236
650 0 $a Electronics in transportation. $3 561105
650 0 $a Intelligent transportation systems. $3 403795
650 1 4 $a Automotive Engineering. $3 308930
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Control, Robotics, Mechatronics. $3 339147
700 1 $a Khan, Muhammad Mansoor. $3 832592
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856 4 0 $u https://doi.org/10.1007/978-981-13-2484-0
950 $a Engineering (Springer-11647)