Distinguished Lecture by Dr. Fan Bai of General Motors Research & Development, USA: “Towards Building an Internet of Vehicles”

#vehicular #networks; #communications

We are honoured to welcome Dr. Fan Bai, Senior Researcher at General Motors Company Research & Development, to give a VTS Distinguished Lecture at King’s College London on 14 December at 2pm, in room K3.11. This room is located in the King’s College London King’s Building, located at Strand, London WC2R 2LS. IEEE VTS members and others are welcome to attend (for free!), however, attendance will be allowed only based on prior (free) registration—noting that the number of places is limited and there are security requirements at the building. You can register at this link. Registration closes at the end of 1 December UTC.

Please feel free to forward this email to others, for possible participation.

The Title and Abstract of the talk, and Mr. Bai’s biography, are as follows:

Title:
Towards Building an Internet of Vehicles.

Abstract:
Recent developments in the automotive industry point to a new emerging domain of connected vehicles, in which vehicles equipped with wireless radios can communicate a wide range of information to each other as well as the Internet infrastructure, including traffic updates, safety notification and infotainment content.

The first half of the talk will focus on how to develop a hybrid network architecture for vehicular networks which combines both the existing cellular infrastructure as well as new vehicle-to-vehicle (V2V) communication capabilities. Compared to either a purely centralized cellular-based approach or a purely distributed V2V approach, our proposed hybrid network architecture will improve cost, capacity and robustness.

The second half of the talk will elaborate one particular example of vehicular applications – collaborative automotive sensing, which could be supported by vehicular networks. In collaborative automotive sensing, hundreds of embedded automotive sensors in each vehicle, coupled with online maps and other databases as well as crowd-sourced information from other cars, can jointly assess vehicular surrounding environments and driving contexts, and be used to enhance system performance and provide assistance to vehicle drivers and passengers.

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• King’s College London
• Strand
• London, England
• United Kingdom WC2R 2LS
• Building: King's Building
• Room Number: K3.11

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• Starts 01 December 2017 12:00 AM UTC
• Ends 10 December 2017 11:59 PM UTC
• No Admission Charge

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