ABSTRACT
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.
TABLE OF CONTENTS
part I|318 pages
Autonomous Vehicle Testing and Development
chapter Chapter 4|30 pages
Object Detection, Tracking and Trajectory Prediction for Autonomous Driving
chapter Chapter 7|26 pages
Prn-Sorb-Slam
A Parallelized Region Proposal Network-Based Swift ORB SLAM System for Stereo Vision-Based Local Path Planning
chapter Chapter 8|26 pages
Ontology-Based Indoor Domain Model Representation and Reasoning for Robot Path Planning Using ROS
chapter Chapter 12|14 pages
Stackelberg
Hidden Markov Model Approach for Behavior Prediction of Surrounding Vehicles for Autonomous Driving
chapter Chapter 13|24 pages
Recent Verification and Validation Methodologies for Advanced Driver-Assistance Systems
part II|90 pages
ADAS and AV Legal Issues and Liabilities
chapter Chapter 19|8 pages
ADAS Technology
A Review on Challenges, Legal Risk Mitigation and Solutions
part III|96 pages
Autonomous Vehicle Applications
