1st Edition

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



  • Available for pre-order. Item will ship after December 1, 2021
ISBN 9780367499747
December 1, 2021 Forthcoming by CRC Press
544 Pages 106 Color & 83 B/W Illustrations

USD $150.00

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Book Description

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.

Key Features:

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

Table of Contents

Preface

About the Editors

List of Contributors

Section I: Autonomous Vehicle Test & Development

Intelligent Decision-Making and Motion Planning for Automated Vehicles

Rick Voßwinkel, Maximilian Gerwien, Alexander Jungmann and Frank Schrödel

 

Control Strategies for Autonomous Vehicles

Chinmay Samak, Tanmay Samak and Sivanathan Kandhasamy

 

A comprehensive review on navigation system, design and safety issues for autonomous vehicle development           

Pranjal Paul and Abhishek Sharma

 

CNN based object detection, tracking and trajectory prediction for autonomous driving

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

 

ADAS Vision System with Video Super Resolution:Need and Scope         

Mrunmayee Daithankar and Sachin Ruikar

 

Lane detection, prediction and path planning

Any Gupta and Ayesha Choudhary

 

PRPN-SORB-SLAM: A Parallelized Region Proposal Network based Swift ORB SLAM system for a Stereo Vision based local path planning       

Kishorjit Nongmeikapam, Wahengbam Kanan Kumar and Aheibam Dinamani Singh

 

Ontology-based Indoor Domain Model Representation and Reasoning for Robot Path Planning using ROS           

Gayathri R, Uma V and Bettina O'Brien

 

Vision based Smart Autonomous Vehicle using Deep Learning      

Anubha Parashar, Apoorva Parashar and Vidyadhar Aski

 

Deep learning for obstacle avoidance in autonomous driving          

Mallika Garg, Jagpal Singh Ubhi and Ashwani Kumar Aggarwal

 

An Array of Processed Channel for Multiple Object detection and distance estimation in a video using a Homographic Monocamera system   

Wahengbam Kanan Kumar, Aheibam Dinamani Singh and Kishorjit Nongmeikapam

 

Stackelberg – Hidden Markov Model Approach for Behavior Prediction of Surrounding Vehicles for Autonomous Driving 

R Syama and C Mala

 

Recent Verification & Validation Methodologies for Advanced Driver Assistance Systems

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

 

Section II: ADAS & AV Legal Issues & Liabilities

Human Factors of automated driving systems          

Stefan Brandenburg

 

Human Factors of Vehicle Automation        

Sunil Sharma, Sunil Singh and Subhash Panja

 

Legal Issues surrounding Cyber Security and Privacy on Automated Vehicle

Rakesh Kumar Chopra and Abhijeet Srivastava

 

Human factors in autonomous driving systems: User perspective    

Neeta Maitre and Neeraj Hanumante

 

Anticipating Legal Issues associated with the Cyber Security and Privacy of Automated Driving Systems (ADS) in India           

Sujata Bali and Shamneesh Sharma

 

Section III: Autonomous Vehicle Applications

ADAS Technology and Legal Risk Mitigation: A Review   

Madhusmita Mishra and Abhishek Kumar

 

Localization and Mapping for Autonomous Driving

Sridevi M, Sugirtha T, Ravi Kiran and Senthil Yogamani

 

GPS Based Localization of Autonomous Vehicles   

Ashwani Kumar

 

Video based accident detection of Cars         

Earnest Paul Ijjina

 

ADS & AVS – Its Cyber security & Privacy legal Issues.    

Ravishankar C V and Kavitha K S

 

Open Pit Mine Autonomous Bot       

Apoorva Parashar, Anubha Parashar and Vidyadhar Aski

 

Index


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Editor(s)

Biography

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.