000 05685nam a22005775i 4500
001 978-3-031-01507-6
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005 20240730165127.0
007 cr nn 008mamaa
008 220601s2021 sz | s |||| 0|eng d
020 _a9783031015076
_9978-3-031-01507-6
024 7 _a10.1007/978-3-031-01507-6
_2doi
050 4 _aTK1-9971
072 7 _aTHR
_2bicssc
072 7 _aTEC007000
_2bisacsh
072 7 _aTHR
_2thema
082 0 4 _a621.3
_223
100 1 _aJi, Jie.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_987529
245 1 0 _aPath Planning and Tracking for Vehicle Collision Avoidance in Lateral and Longitudinal Motion Directions
_h[electronic resource] /
_cby Jie Ji, Hong Wang, Yue Ren.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXII, 144 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Advances in Automotive Technology,
_x2576-8131
505 0 _aAcknowledgments -- 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 _aIn 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.
650 0 _aElectrical engineering.
_987532
650 0 _aMechanical engineering.
_95856
650 0 _aAutomotive engineering.
_987534
650 0 _aTransportation engineering.
_93560
650 0 _aTraffic engineering.
_915334
650 1 4 _aElectrical and Electronic Engineering.
_987536
650 2 4 _aMechanical Engineering.
_95856
650 2 4 _aAutomotive Engineering.
_987540
650 2 4 _aTransportation Technology and Traffic Engineering.
_932448
700 1 _aWang, Hong.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_987542
700 1 _aRen, Yue.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_987543
710 2 _aSpringerLink (Online service)
_987546
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031000119
776 0 8 _iPrinted edition:
_z9783031003790
776 0 8 _iPrinted edition:
_z9783031026355
830 0 _aSynthesis Lectures on Advances in Automotive Technology,
_x2576-8131
_987547
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01507-6
912 _aZDB-2-SXSC
942 _cEBK
999 _c86113
_d86113