Autonomous Driving and Advanced Driver-Assistance Systems (ADAS) (eBook, ePUB)

Applications, Development, Legal Issues, and Testing
Redaktion: Joseph, Lentin; Mondal, Amit Kumar

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 540
• Erscheinungstermin: 15. Dezember 2021
• Englisch
• ISBN-13: 9781000483796
• Artikelnr.: 62914771

Autorenporträt

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.

Inhaltsangabe

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