Smart Transportation : AI Enabled Mobility and Autonomous Driving.
The book provides a broad overview of the challenges and recent developments in the field of smart mobility and transportation, includingtechnical, algorithmic and social aspects of smart mobility and transportation. It reviews new ideas for services and platforms for future mobility. New concepts o...
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| Format: | eBook |
| Language: | English |
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Milton :
Taylor & Francis Group,
2021.
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Cover
- Title Page
- Copyright Page
- Preface
- Acknowledgements
- Contents
- 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
- Index