Keynote Speech II: AI-Enabled Deployment of Connected and Autonomous Electric Vehicles in Smart Cities

摘要

Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. The transformation of our current cities into smarter cities will bring challenges in diverse areas such as the transportation system, the electricity system, and wearable systems, just to name a few. In smart cities, Information and Communication Technologies (ICT) will play a vital role for providing services in the urban environment. These services include real time monitoring and reaction in time through wireless sensor and actuator networks. Smart Grids (SGs), Intelligent Transportation Systems (ITS), Internet of Things (IoT), Electric Vehicles (EVs), and Wireless Sensor Networks (WSNs), supported by the advances I Artificial Intelligence (AI) and Machine Learning (ML), will be the building blocks of futuristic smart cities. In this presentation we will address ML techniques with a focus on autonomous vehicles and in particular on Connected and Autonomous Electric Vehicles (CAEVs) in smart cities. Current capabilities as well as limitations and opportunities of key AI enabling technologies will be reviewed, along with a discussion on the impact of such advances on society and the environment. All these technologies will help to build a smart city. A use case on evaluating traffic signs detection using deep convolutional neural networks (CNNs) such as Faster R-CNN for autonomous driving, will be provided.