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.
Features:
- 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.
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.
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 OBrien
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.
