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Decision-making techniques for autonomous vehicles /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Decision-making techniques for autonomous vehicles // edited by Jorge Villagra, Felipe Jimenez.
other author:	Villagra, Jorge.
Published:	Amsterdam :Elsevier, : c2023.,
Description:	xv, 403p. :ill. (some sol.) ; : 23 cm.;
Subject:	Automated vehicles - Automatic control. -
ISBN:	9780323983396 (pbk.) :

Decision-making techniques for autonomous vehicles /
Decision-making techniques for autonomous vehicles /edited by Jorge Villagra, Felipe Jimenez. - Amsterdam :Elsevier,c2023. - xv, 403p. :ill. (some sol.) ;23 cm.

Includes bibliographical references and index.

"Decision-Making Techniques for Autonomous Vehicles provides a general overview of control and decision-making tools that could be used in autonomous vehicles. Motion prediction and planning tools are presented, along with the use of machine learning and adaptability to improve performance of algorithms in real scenarios. The book then examines how driver monitoring and behavior analysis are used produce comprehensive and predictable reactions in automated vehicles. The book ultimately covers regulatory and ethical issues to consider for implementing correct and robust decision-making. This book is for researchers as well as Masters and PhD students working with autonomous vehicles and decision algorithms."--

ISBN: 9780323983396 (pbk.) :NT5854

LCCN: 2024441831Subjects--Topical Terms:

1438237
Automated vehicles
--Automatic control.

LC Class. No.: TL152.8 / .D43 2023

Dewey Class. No.: 629.046

Decision-making techniques for autonomous vehicles /
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245 0 0 $a Decision-making techniques for autonomous vehicles / $c edited by Jorge Villagra, Felipe Jimenez.
260 # $a Amsterdam : $b Elsevier, $c c2023.
300 $a xv, 403p. : $b ill. (some sol.) ; $c 23 cm.
504 $a Includes bibliographical references and index.
520 # $a "Decision-Making Techniques for Autonomous Vehicles provides a general overview of control and decision-making tools that could be used in autonomous vehicles. Motion prediction and planning tools are presented, along with the use of machine learning and adaptability to improve performance of algorithms in real scenarios. The book then examines how driver monitoring and behavior analysis are used produce comprehensive and predictable reactions in automated vehicles. The book ultimately covers regulatory and ethical issues to consider for implementing correct and robust decision-making. This book is for researchers as well as Masters and PhD students working with autonomous vehicles and decision algorithms."-- $c Publisher's website.
650 # 0 $a Automated vehicles $x Automatic control. $3 1438237
650 # 0 $a Decision making. $3 528319
700 1 # $a Villagra, Jorge. $3 1438235
700 1 # $a Jimenez, Felipe. $3 1438236