Smart Transportation: AI Enabled Mobility and Autonomous Driving

ISBN-13: 9780367352967 / Angielski / Twarda / 2021 / 248 str.

Guido Dartmann; Anke Schmeink; Volker Lücken

Opis

This book presents a review of the progress and latest applications of artificial intelligence in autonomous vehicles and its implementation in new hardware platforms. Furthermore, new concepts for mobility services based on this technology are presented and the social and human factors are discussed.

Spis treści

1. Social Acceptance of Autonomous Driving – The Importance of Public Discourse and Citizen Participation 2. Artificial Intelligence for Autonomous Vehicle Fleets: Desired Requirements, Solutions and a Best Practice Project 3. Large-scale Simulation of a Mobility-on-Demand System for the German City Aachen 4. Artificial Intelligence for Fleets of Autonomous Vehicles: Desired Requirements and Solution Approaches 5. Future Urban Mobility: Designing New Mobility Technologies in Open Innovation Networks 6. Communication and Service Aspects of Smart Mobility: Improving Security, Privacy and Efficiency of Mobility Services by Utilizing Distributed Ledger Technology 7. Pseudonym Management through Blockchain: Cost-efficient Privacy Preservation on Smart Transportation 8. Simulation Platforms for Autonomous Driving and Smart Mobility: Simulation Platforms, Concepts, Software, APIs 9. Deep-Learning Based Depth Completion for Autonomous Driving Applications 10. Artificial Intelligence Based on Modular Reinforcement Learning and Unsupervised Learning 11. Functional Safety of Deep Learning Techniques in Autonomous Driving Systems