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020 _a9783031015076
024 7 _a10.1007/978-3-031-01507-6
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTL272.52
_b2021 EB
100 1 _aJi, Jie
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9686546
245 1 0 _aPath Planning and Tracking for Vehicle Collision Avoidance in Lateral and Longitudinal Motion Directions
_cby Jie Ji, Hong Wang, Yue Ren.
250 _a1st edition 2021
264 1 _aCham
_bSpringer International Publishing
_c2021
300 _a1 recurso en línea (XII, 144 páginas)
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _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 designed to 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.
988 _aSynthesis Collection of Technology_2021
650 7 _2embne
_9172977
_aAutomóviles
_xResistencia a las colisiones
700 1 _aWang, Hong
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9681408
700 1 _aRen, Yue,
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9686547
_d1981-
776 0 8 _iPrinted edition:
_z9783031000119
776 0 8 _iPrinted edition:
_z9783031003790
776 0 8 _iPrinted edition:
_z9783031026355
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01507-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b02/2023
_dz
_eIG
_zSI