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GM Cruise AV: the First Production-Ready Car With No Steering Wheel or Pedals - IEEE Connected Vehicles

GM Cruise AV: the First Production-Ready Car With No Steering Wheel or Pedals
12 Jan, 2018. General Motors is seeking U.S. government approval for a fully autonomous car – one without a steering wheel, brake pedal or accelerator pedal – to enter the automaker’s first commercial ride-sharing fleet in 2019.

Leading Automotive, Telecom and ITS Companies Unveil First Announced Cellular V2X Trials in Japan - IEEE Connected Vehicles

Leading Automotive, Telecom and ITS Companies Unveil First Announced Cellular V2X Trials in Japan
11 Jan, 2018. Continental, Ericsson, Nissan, NTT DOCOMO, OKI and Qualcomm Technologies join forces to host C-V2X trials in Japan in 2018 to validate and demonstrate the benefits of Cellular Vehicle-to-Everything (C-V2X). The use cases are designed to focus on Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I) and Vehicle-to-Pedestrian (V2P) direct communications, as well as Vehicle-to-Network (V2N) operations over cellular network-based wide area communications with cloud access.

Qualcomm and Ford Collaborate on C-V2X Global Initiative - IEEE Connected Vehicles

Qualcomm and Ford Collaborate on C-V2X Global Initiative
9 Jan, 2018. Qualcomm Technologies and Ford Motor Company are accelerating the development of connected cars with the extension of their long-standing relationship into the development of advanced connectivity systems for Ford vehicles and upcoming Cellular Vehicle-to-Everything (C-V2X) technology testing. Qualcomm Technologies’ C-V2X commercial solution, the Qualcomm® 9150 C-V2X chipset, is expected to be commercially available the second half of 2018.

Dallas picks Ericsson for Smart Cities Traffic Solution - IEEE Connected Vehicles

Dallas picks Ericsson for Smart Cities Traffic Solution.
8 Jan, 2018. The City of Dallas has selected Ericsson to install and host an Advanced Traffic Management System based on Ericsson’s Connected Urban Transport solution. This solution will give the City of Dallas and adjacent cities the ability to aggregate and analyze diverse, real-time data from traffic sensors and cameras to dynamically control traffic lights, school flashers and message signs.

Uber Selects NVIDIA Technology to Power Its Self-Driving Fleets - IEEE Connected Vehicles

Uber Selects NVIDIA Technology to Power Its Self-Driving Fleets
7 Jan, 2018. NVIDIA and Uber agree to incorporate NVIDIA technology for the AI computing system in Uber’ fleet of self-driving vehicles. NVIDIA technology will be used for running AI algorithms that enable vehicles to perceive the world, predict what will happen next and quickly choose the best course of action.

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