Autonomous Driving and Advanced Driver-Assistance Systems (ADAS)

Autonomous Driving and Advanced Driver-Assistance Systems (ADAS)

Applications, Development, Legal Issues, and Testing

Mondal, Amit Kumar; Joseph, Lentin

Taylor & Francis Ltd

10/2024

520

Mole

9780367495367

15 a 20 dias

Descrição não disponível.
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
vehicle perception;SLAM;sensor fusion;machine learning;deep learning;intelligent vehicles;autonomous robots;autonomous driving;advanced driver-assistance systems;ROS;Autonomous Vehicles;Ego Vehicle;ADAS;Data Set;Automated Driving Systems;Automated Vehicle;Lane Detection;Object Detection;Bounding Boxes;AVT;Slam Algorithm;Raspberry Pi;Anchor Boxes;Lane Change;Semantic Information;Deep Neural Network Models;Point Cloud;Deep Learning Frameworks;Unmanned Ground Vehicle;Cyber Security;MPC;Optical Flow;CNN Feature;Motor Vehicles Act