Autonomous Driving and Advanced Driver-Assistance Systems (ADAS)
Applications, Development, Legal Issues, and Testing
1st Edition
Published on 16. December 2021
Book
Hardback
520 pages
978-0-367-49974-7 (ISBN)
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.
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.
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.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Academic, Postgraduate, Professional, Professional Practice & Development, and Undergraduate Advanced
Illustrations
83 s/w Abbildungen, 106 farbige Abbildungen, 52 Farbfotos bzw. farbige Rasterbilder, 83 s/w Zeichnungen, 54 farbige Zeichnungen, 54 s/w Tabellen
54 Tables, black and white; 54 Line drawings, color; 83 Line drawings, black and white; 52 Halftones, color; 106 Illustrations, color; 83 Illustrations, black and white
Dimensions
Height: 260 mm
Width: 183 mm
Thickness: 33 mm
Weight
1199 gr
ISBN-13
978-0-367-49974-7 (9780367499747)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Lentin Joseph | Amit Kumar Mondal
Autonomous Driving and Advanced Driver-Assistance Systems (ADAS)
Applications, Development, Legal Issues, and Testing
Book
10/2024
1st Edition
CRC Press
€124.40
Shipment within 15-20 days
Lentin Joseph | Amit Kumar Mondal
Autonomous Driving and Advanced Driver-Assistance Systems (ADAS)
Applications, Development, Legal Issues, and Testing
E-Book
12/2021
1st Edition
CRC Press
€78.99
Available for download
Lentin Joseph | Amit Kumar Mondal
Autonomous Driving and Advanced Driver-Assistance Systems (ADAS)
Applications, Development, Legal Issues, and Testing
E-Book
12/2021
1st Edition
CRC Press
€78.99
Available for download
Persons
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.
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.
Content
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 Schroedel
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 Klueck, 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
Chapter 1 ? Intelligent Decision-Making and Motion Planning for Automated Vehicles
Rick Vosswinkel, Maximilian Gerwien, Alexander Jungm ann, and Frank Schroedel
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 Klueck, 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