Autonomous Driving and Advanced Driver-Assistance Systems (ADAS) : Applications, Development, Legal Issues, and Testing book cover
1st Edition

Autonomous Driving and Advanced Driver-Assistance Systems (ADAS)
Applications, Development, Legal Issues, and Testing

ISBN 9780367499747
Published December 16, 2021 by CRC Press
540 Pages 106 Color & 83 B/W Illustrations

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Book Description

Autonomous Driving and Advanced Driver-Assistance Systems (ADAS): Applications, Development, Legal Issues, and Testing outlines the latest research related 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, and computer vision.


  • Co-edited by an experienced roboticist and author and 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 the examples included in this book are a valuable source of information for academic and industrial researchers, automotive companies, and suppliers.

Table of Contents

Section I Autonomous Vehicle Testing and Development

Chapter 1 ◾ Intelligent Decision-Making and Motion Planning for Automated Vehicles

Rick Voßwinkel, Maximilian Gerwien, Alexander Jungm ann, and Frank Schrödel

Chapter 2 ◾ Control Strategies for Autonomous Vehicles

Chinmay Vilas Samak, Tanmay Vilas Samak, and Sivanathan Kandhasamy

Chapter 3 ◾ A Comprehensive Review of Navigation System, Design, and Safety Issues for Autonomous Vehicle Development

Pranjal Paul and Abhishek Sharma

Chapter 4 ◾ Object Detection, Tracking and Trajectory Prediction for Autonomous Driving

Sridevi M, Sugirtha T, Hazem Rashed, B Ravi Kiran, and Senthil Yogamani

Chapter 5 ◾ ADAS Vision System with Video Super Resolution: Need and Scope

Mrunmayee V. Daithankar and Sachin D. Ruikar

Chapter 6 ◾ Lane Detection, Prediction, and Path Planning

Any Gupta and Ayesha Choudhary

Chapter 7 ◾ PRN-SORB-SLAM: A Parallelized Region Proposal Network-Based Swift ORB SLAM System for Stereo Vision-Based Local Path Planning

Kishorjit Nongm eikapam, Wahengbam Kanan Kumar, and Aheibam Dinamani Singh

Chapter 8 ◾ Ontology-Based Indoor Domain Model Representation and Reasoning for Robot Path Planning Using ROS

Gayathri Rajendran, Uma Vijayasundaram, and Bettina O’Brien

Chapter 9 ◾ Automated Guided Autonomous Car Using Deep Learning and Computer Vision

Anubha Parashar, Vidyadhar Aski, and Apoorva Parashar

Chapter 10 ◾ Deep Learning for Obstacle Avoidance in Autonomous Driving

Mallika Garg, Jagpal Singh Ubhi, and Ashwani Kumar Agg arwal

Chapter 11 ◾ An Array of Processed Channel for Multiple Object Detection and Distance Estimation in a Video Using a Homographic Mono Camera System

Wahengbam Kanan Kumar, Aheibam Dinamani Singh, and Kishorjit Nongm eikapam

Chapter 12 ◾ Stackelberg: Hidden Markov Model Approach for Behavior Prediction of Surrounding Vehicles for Autonomous Driving

R Syama and C Mala

Chapter 13 ◾ Recent Verification and Validation Methodologies for Advanced Driver-Assistance Systems

Franz Wotawa, Florian Klück, Martin Zimm ermann, Mihai Nica, Hermann Felbinger, Jianbo Tao, and Yihao Li

Section II ADAS and AV Legal Issues and Liabilities

Chapter 14 ◾ Human Factors of Automated Driving Systems

Stefan Brandenburg

Chapter 15 ◾ Human Factors of Vehicle Automation

Sunil Kr. Sharma, Sunil Kr. Singh, and Subhash C. Panja

Chapter 16 ◾ Legal Issues Surrounding Cyber Security and Privacy on Automated Vehicle

Rakesh Kumar Chopra and Abhijeet Srivastava

Chapter 17 ◾ Human Factors in Autonomous Driving Systems: A User Perspective

Neeta Maitre and Neeraj Hanumante

Chapter 18 ◾ Anticipating Legal Issues Associated with the Cyber Security and Privacy of Automated Driving Systems in India

Sujata Bali and Shamneesh Sharma

Chapter 19 ◾ ADAS Technology: A Review on Challenges, Legal Risk Mitigation and Solutions

Madhusmita Mishra and Abhishek Kumar

Section III Autonomous Vehicle Applications

Chapter 20 ◾ Localization and Mapping for Autonomous Driving

Sridevi M, Sugirtha T, B Ravi Kiran, and Senthil Yogamani

Chapter 21 ◾ GPS-Based Localization of Autonomous Vehicles

Ashwani Kumar Aggarwal

Chapter 22 ◾ Video-Based Accident Detection of Cars

Earnest Paul Ijjina

Chapter 23 ◾ ADS and AVS: Its Cyber Security and Privacy Legal Issues

Ravishankar CV and Kavitha KS

Chapter 24 ◾ Open-Pit Mine Autonomous Bot

Apoorva Parashar, Anubha Parashar, and Vidyadhar Aski

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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.