图书简介
The book provides a broad overview of the challenges and recent developments in the field of smart mobility and transportation. This includes technical, algorithmic as well as social aspects of smart mobility and transportation. It starts with new ideas for services and platforms for future mobility. New concepts of artificial intelligence and the implementation in new hardware architecture are discussed. In the context of artificial intelligence, new challenges of machine learning for autonomous vehicles and fleets are investigated. Finally, the book concludes with human factors and social questions of future mobility concepts. The goal of this book is to provide a holistic approach towards smart transportation. The book reviews new technologies cloud, machine learning and communication for fully atomized transport, catering to the needs of citizens. This will lead to complete change of concepts in transportion.
Social Acceptance of Autonomous Driving - The Importance of Public Discourse and Citizen Participation Teresa Brell, Ralf Philipsen, Hannah Biermann, and Martina Ziefle Artificial Intelligence for Autonomous Vehicle Fleets: Desired Requirements, Solutions and a best Practice Project Dr. Giovanni Prestifilippo Large-scale Simulation of a Mobility-On-Demand System for the German City Aachen Matthias et. al Artificial Intelligence for Fleets of Autonomous Vehicles: Desired Requirements and Solution Approaches Matthias Dziubany, Sam Kopp, Lars Creutz, Jens Schneider, Anke Schmeink, and Guido Dartmann Future Urban Mobility: Designing New Mobility Technologies in Open Innovation Networks David Hedderich, Markus Kowalski, and Volker Lucken Communication and Service Aspects of Smart Mobility: Improving Security, Privacy and Efficiency of Mobility Services by Utilizing Distributed Ledger Technology Ahmad Ayad, Johannes Borsch, and Anke Schmeink Pseudonym Management Through Blockchain: Cost-Efficient Privacy Preservation on Smart Transportation Shihan Bao, Yue Cao, Ao Lei, Haitham Cruickshank, and Zhili Sun Simulation Platforms for Autonomous Driving and Smart Mobility: Simulation Platforms, Concepts, Software, APIs Lars Creutz, Sam Kopp, Jens Schneider, Matthias Dziubany, Yannick Becker, and Guido Dartmann Deep-Learning Based Depth Completion for Autonomous Driving Applications Christian Lanius, David Hedderich, Shawan Mohammed, Gerd Ascheid and Volker Lucken Artificial Intelligence Based on Modular Reinforcement Learning and Unsupervised Learning Shawan Taha Mohammed, Angelo Mihaltan, Kemal Acar, Hendrik Laux, and Gerd Ascheid Functional Safety of Deep Learning Techniques in Autonomous Driving Systems Zheyi Chen, Pu Tian, Weixian Liao, and Wei Yu
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