From the IEEE VTS Resource Center
Practical Work with Robots

Title: Practical work with robots

Speaker: Sousso Kelouwani, Université du Québec à Trois-Rivières

Description: According to the Conference Board of Canada, Automated Vehicles (AV) will be the next disruptive technology with a substantial reduction of annual road fatalities by more than 75%. 

Besides the obvious advantages of transportation security and goods/person effective mobility, intelligent vehicle gives a unique opportunity to increase the transportation energetic efficiency, specifically for electric/hybrid vehicle. 

Indeed, sensors involved in the vehicle safety during a motion can be used to modulate efficiently the vehicle dynamic regarding energy consumption. 

In addition, sensing and communication capabilities can significantly contribute to the vehicle path planning and energy management so that the global energy efficiency is increased. 

However, several challenges need to be solved in order to unlock this promising technology. This lecture will cover the fundamental aspect of anticipating energy required during a short and along trip with low Carbone footprint vehicle. Recent advances in vehicle dynamics monitoring as well as vehicle/navigation road interaction sensing will be discussed.

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In this Issue
Message from the EiC
Society
Message from the President:
VTS Volunteerism—Enabling Professional and Personal Growth!
Message from the 2018 IEEE VTS VP—Mobile Radio
Board of Governors Member Profile: Lajos Hanzo
Standards
Spectrum and Regulation
From the IEEE VTS Resource Center
Practical Work with Robots
From IEEE Vehicular Technology Magazine
LTE-V for Sidelink 5G V2X Vehicular Communications
Mobile Radio
5G Core Network Prototypes and 5G New Radio
Transportation Systems
Melbourne, Victoria, Expands Commuter Rail Service
Conference Report
IEEE VPPC 2017
Calls for Papers
VTC2018-Fall & VPPC 2018 in Chicago
IEEE Vehicular Technology Magazine: Special Issue on 5G Technologies and Applications
Fog/Edge Computing for Autonomous and Connected Cars
Mobile Edge Computing for Vehicular Networks