From AI to Autonomous and Connected Vehicles: Advanced Driver-Assistance Systems
- Length: 288 pages
- Edition: 1
- Language: English
- Publisher: Wiley-ISTE
- Publication Date: 2021-09-22
- ISBN-10: 1786307278
- ISBN-13: 9781786307279
- Sales Rank: #6004165 (See Top 100 Books)
The main topic of this book is the recent development of on-board advanced driver-assistance systems (ADAS), which we can already tell will eventually contribute to the autonomous and connected vehicles of tomorrow.
With the development of automated mobility, it becomes necessary to design a series of modules which, from the data produced by on-board or remote information sources, will enable the construction of a completely automated driving system. These modules are perception, decision and action. State-of-the-art AI techniques and their potential applications in the field of autonomous vehicles are described.
Perception systems, focusing on visual sensors, the decision module and the prototyping, testing and evaluation of ADAS systems are all presented for effective implementation on autonomous and connected vehicles.
This book also addresses cooperative systems, such as pedestrian detection, as well as the legal issues in the use of autonomous vehicles in open environments.
Cover Table of Contents Title Page Copyright Foreword 1 Foreword 2 “AI and ADAS”, How Can Mobility be Improved? Foreword 3 Preface 1 Artificial Intelligence for Vehicles 1.1. What is AI? 1.2. The main methods of AI 1.3. Modern AI challenges for the industry 1.4. What is an “intelligent” vehicle? 1.5. References 2 Conventional Vision or Not: A Selection of Low-level Algorithms 2.1. Introduction 2.2. Vision sensors 2.3. Vision algorithms 2.4. Conclusion 2.5. References 3 Automated Driving, a Question of Trajectory Planning 3.1. Definition of planning 3.2. Trajectory planning: general characteristics 3.3. Multi-objective trajectory planning 3.4. Conclusion on multi-agent planning for a fleet of vehicles: the future of planning 3.5. References 4 From Virtual to Real, How to Prototype, Test, Evaluate and Validate ADAS for the Automated and Connected Vehicle? 4.1. Context and goals 4.2. Generic dynamic and distributed architecture 4.3. Environment and climatic conditions 4.4. Modeling of perception sensors 4.5. Connectivity and means of communication 4.6. Some relevant use cases 4.7. Conclusion and perspectives 4.8. References 5 Standards for Cooperative Intelligent Transport Systems (C-ITS) 5.1. Context and goals 5.2. “ITS station” architecture 5.3. Features of the ITS station architecture 5.4. Features of the ITS station architecture 5.5. Deployment of Cooperative ITS services 5.6. References 6 The Integration of Pedestrian Orientation for the Benefit of ADAS: A Moroccan Case Study 6.1. Introduction 6.2. Advanced Driver Assistance System (ADAS) 6.3. Proposal for an applicable system to the Moroccan case 6.4. General conclusion 6.5. References 7 Autonomous Vehicle: What Legal Issues? 7.1. Introduction 7.2. The definition of the so-called “autonomous” vehicle 7.3. Legal framework and experiments 7.4. The notion of the “driver” 7.5. The notion of the “custodian” 7.6. What liability regime? 7.7. Self-driving vehicle insurance? 7.8. Personal data and the autonomous vehicle 7.9. The need for uniform regulation List of Authors Index End User License Agreement
Donate to keep this site alive
1. Disable the AdBlock plugin. Otherwise, you may not get any links.
2. Solve the CAPTCHA.
3. Click download link.
4. Lead to download server to download.