Path Planning and Tracking for Vehicle Collision Avoidance in Lateral and Longitudinal Motion Directions (Record no. 86113)

000 -LEADER
fixed length control field 05685nam a22005775i 4500
001 - CONTROL NUMBER
control field 978-3-031-01507-6
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730165127.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220601s2021 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031015076
-- 978-3-031-01507-6
082 04 - CLASSIFICATION NUMBER
Call Number 621.3
100 1# - AUTHOR NAME
Author Ji, Jie.
245 10 - TITLE STATEMENT
Title Path Planning and Tracking for Vehicle Collision Avoidance in Lateral and Longitudinal Motion Directions
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2021.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XII, 144 p.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Advances in Automotive Technology,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Acknowledgments -- Introduction -- Path-Planning Algorithms for Collision Avoidance -- Path-Tracking Algorithms for Collision Avoidance -- Optimal Local Trajectory for Vehicle Collision Avoidance Maneuvers -- Design of Robust Feedback Controller for Path Tracking -- Collision Avoidance in Longitudinal Direction With/Without V2X Communication -- Conclusions and Future Works -- References -- Authors' Biographies .
520 ## - SUMMARY, ETC.
Summary, etc In recent years, the control of Connected and Automated Vehicles (CAVs) has attracted strong attention for various automotive applications. One of the important features demanded of CAVs is collision avoidance, whether it is a stationary or a moving obstacle. Due to complex traffic conditions and various vehicle dynamics, the collision avoidance system should ensure that the vehicle can avoid collision with other vehicles or obstacles in longitudinal and lateral directions simultaneously. The longitudinal collision avoidance controller can avoid or mitigate vehicle collision accidents effectively via Forward Collision Warning (FCW), Brake Assist System (BAS), and Autonomous Emergency Braking (AEB), which has been commercially applied in many new vehicles launched by automobile enterprises. But in lateral motion direction, it is necessary to determine a flexible collision avoidance path in real time in case of detecting any obstacle. Then, a path-tracking algorithm is designedto assure that the vehicle will follow the predetermined path precisely, while guaranteeing certain comfort and vehicle stability over a wide range of velocities. In recent years, the rapid development of sensor, control, and communication technology has brought both possibilities and challenges to the improvement of vehicle collision avoidance capability, so collision avoidance system still needs to be further studied based on the emerging technologies. In this book, we provide a comprehensive overview of the current collision avoidance strategies for traditional vehicles and CAVs. First, the book introduces some emergency path planning methods that can be applied in global route design and local path generation situations which are the most common scenarios in driving. A comparison is made in the path-planning problem in both timing and performance between the conventional algorithms and emergency methods. In addition, this book introduces and designs an up-to-date path-planning method based on artificial potential field methods for collision avoidance, and verifies the effectiveness of this method in complex road environment. Next, in order to accurately track the predetermined path for collision avoidance, traditional control methods, humanlike control strategies, and intelligent approaches are discussed to solve the path-tracking problem and ensure the vehicle successfully avoids the collisions. In addition, this book designs and applies robust control to solve the path-tracking problem and verify its tracking effect in different scenarios. Finally, this book introduces the basic principles and test methods of AEB system for collision avoidance of a single vehicle. Meanwhile, by taking advantage of data sharing between vehicles based on V2X (vehicle-to-vehicle or vehicle-to-infrastructure) communication, pile-up accidents in longitudinal direction are effectively avoided through cooperative motion control of multiple vehicles.
700 1# - AUTHOR 2
Author 2 Wang, Hong.
700 1# - AUTHOR 2
Author 2 Ren, Yue.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-01507-6
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2021.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mechanical engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Automotive engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Transportation engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Traffic engineering.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical and Electronic Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mechanical Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Automotive Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Transportation Technology and Traffic Engineering.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2576-8131
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-- ZDB-2-SXSC

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