"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. 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"--
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.
| Preface |
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ix | |
| Acknowledgments |
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xiii | |
| Editors |
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xv | |
| Contributors |
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xvii | |
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Section I Autonomous Vehicle Testing and Development |
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Chapter 1 Intelligent Decision-Making and Motion Planning for Automated Vehicles |
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3 | (34) |
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Chapter 2 Control Strategies for Autonomous Vehicles |
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37 | (50) |
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Chapter 3 A Comprehensive Review of Navigation System, Design, and Safety Issues for Autonomous Vehicle Development |
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87 | (18) |
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Chapter 4 Object Detection, Tracking and Trajectory Prediction for Autonomous Driving |
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105 | (30) |
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Chapter 5 ADAS Vision System with Video Super Resolution: Need and Scope |
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135 | (14) |
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Chapter 6 Lane Detection, Prediction, and Path Planning |
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149 | (18) |
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Chapter 7 PRN-SORB-SLAM: A Parallelized Region Proposal Network-Based Swift ORB SLAM System for Stereo Vision-Based Local Path Planning |
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167 | (26) |
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Chapter 8 Ontology-Based Indoor Domain Model Representation and Reasoning for Robot Path Planning Using ROS |
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193 | (26) |
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Chapter 9 Automated Guided Autonomous Car Using Deep Learning and Computer Vision |
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219 | (14) |
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Chapter 10 Deep Learning for Obstacle Avoidance in Autonomous Driving |
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233 | (14) |
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Chapter 11 An Array of Processed Channel for Multiple Object Detection and Distance Estimation in a Video Using a Homographic Mono Camera System |
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247 | (34) |
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Chapter 12 Stackelberg: Hidden Markov Model Approach for Behavior Prediction of Surrounding Vehicles for Autonomous Driving |
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281 | (14) |
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Chapter 13 Recent Verification and Validation Methodologies for Advanced Driver-Assistance Systems |
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295 | (26) |
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Section II ADAS and AV Legal Issues and Liabilities |
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Chapter 14 Human Factors of Automated Driving Systems |
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321 | (14) |
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Chapter 15 Human Factors of Vehicle Automation |
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335 | (24) |
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Chapter 16 Legal Issues Surrounding Cyber Security and Privacy on Automated Vehicle |
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359 | (22) |
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Chapter 17 Human Factors in Autonomous Driving Systems: A User Perspective |
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381 | (8) |
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Chapter 18 Anticipating Legal Issues Associated with the Cyber Security and Privacy of Automated Driving Systems in India |
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389 | (12) |
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Chapter 19 ADAS Technology: A Review on Challenges, Legal Risk Mitigation and Solutions |
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401 | (8) |
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Section III Autonomous Vehicle Applications |
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Chapter 20 Localization and Mapping for Autonomous Driving |
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409 | (28) |
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Chapter 21 GPS-Based Localization of Autonomous Vehicles |
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437 | (12) |
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Chapter 22 Video-Based Accident Detection of Cars |
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449 | (12) |
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Chapter 23 ADS and AVS: Its Cyber Security and Privacy Legal Issues |
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461 | (24) |
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Chapter 24 Open-Pit Mine Autonomous Bqt |
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485 | (20) |
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| Index |
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505 | |
Lentin Joseph is an author, roboticist, and robotics entrepreneur from India. He runs a robotics software company called Qbotics Labs in Kochi/Kerala. He has 10 years of experience in the robotics domain primarily in Robot Operating System, OpenCV, and PCL.
He has authored 8 books in ROS, namely, Learning Robotics using Python first and second edition, Mastering ROS for Robotics Programming first and second edition, ROS Robotics Projects first and second edition, ROS Learning Path, and Robot Operating System for Absolute Beginners.
He has pursued his Masters in Robotics and Automation from India and also worked at Robotics Institute, CMU, USA. He is also a TEDx speaker.
Amit Kumar Mondal, PhD, is Assistant Professor in the Department of Mechatronics Engineering, Manipal Academy of Higher Education, Dubai, UAE. His area of research interest are Mobile Robotics, Autonomous System, Industrial Automation. He has published more than 30 papers in national and international journals and conferences. He has filed 3 patents and successfully completed 3 externally funded projects from SERB, IUSSTF.
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