1st Edition

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

Edited By Lentin Joseph, Amit Kumar Mondal Copyright 2022
    540 Pages 106 Color & 83 B/W Illustrations
    by CRC Press

    540 Pages 106 Color & 83 B/W Illustrations
    by CRC Press

    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.

    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


    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.