ENGLISH

Autonomous Driving and Advanced Driver-Assistance Systems (ADAS): Applications, Development, Legal Issues, and Testing (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)

By Lentin Joseph (editor) , Amit Kumar Mondal (editor)

Book information

Publisher
CRC Press
Year
2021
ISBN
0367499746, 9780367499747
Language
english
Format
PDF
Filesize
27 MB (27944822 bytes)
Edition
1
Pages
544\540
Time added
2021-11-20 10:01:43

Description

Autonomous Driving and Advanced Driver Assistance Systems (ADAS) outlines the latest research relating to autonomous cars and advanced driver-assistance systems, including the development, testing and verification for real-time situations of sensor fusion, sensor placement, control algorithms, computer vision, and more. Key Features: Co-edited by an experienced roboticist and author as well as an experienced academic. Addresses the legal aspect of autonomous driving and ADAS. Presents the application of ADAS in autonomous vehicle parking systems. With an infinite number of real-time possibilities that need to be addressed, the methods and examples included make this book a valuable source of information for academic and industrial researchers, automotive companies and suppliers. Cover Half Title Series Page Title Page Copyright Page Contents Preface Acknowledgments Editors Contributors Section I: Autonomous Vehicle Testing and Development Chapter 1: Intelligent Decision-Making and Motion Planning for Automated Vehicles Chapter 2: Control Strategies for Autonomous Vehicles Chapter 3: A Comprehensive Review of Navigation System, Design, and Safety Issues for Autonomous Vehicle Development Chapter 4: Object Detection, Tracking and Trajectory Prediction for Autonomous Driving Chapter 5: ADAS Vision System with Video Super Resolution: Need and Scope Chapter 6: Lane Detection, Prediction, and Path Planning Chapter 7: PRN-SORB-SLAM: A Parallelized Region Proposal Network-Based Swift ORB SLAM System for Stereo Vision-Based Local Path Planning Chapter 8: Ontology-Based Indoor Domain Model Representation and Reasoning for Robot Path Planning Using ROS Chapter 9: Automated Guided Autonomous Car Using Deep Learning and Computer Vision Chapter 10: Deep Learning for Obstacle Avoidance in Autonomous Driving Chapter 11: An Array of Processed Channel for Multiple Object Detection and Distance Estimation in a Video Using a Homographic Mono Camera System Chapter 12: Stackelberg: Hidden Markov Model Approach for Behavior Prediction of Surrounding Vehicles for Autonomous Driving Chapter 13: Recent Verification and Validation Methodologies for Advanced Driver-Assistance Systems Section II: ADAS and AV Legal Issues and Liabilities Chapter 14: Human Factors of Automated Driving Systems Chapter 15: Human Factors of Vehicle Automation Chapter 16: Legal Issues Surrounding Cyber Security and Privacy on Automated Vehicle Chapter 17: Human Factors in Autonomous Driving Systems: A User Perspective Chapter 18: Anticipating Legal Issues Associated with the Cyber Security and Privacy of Automated Driving Systems in India Chapter 19: ADAS Technology: A Review on Challenges, Legal Risk Mitigation and Solutions Section III: Autonomous Vehicle Applications Chapter 20: Localization and Mapping for Autonomous Driving Chapter 21: GPS-Based Localization of Autonomous Vehicles Chapter 22: Video-Based Accident Detection of Cars Chapter 23: ADS and AVS: Its Cyber Security and Privacy Legal Issues Chapter 24: Open-Pit Mine Autonomous Bot INDEX

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