Zenuity has joined forces with CERN, the European Organisation for Nuclear Research, to develop fast machine learning for autonomous vehicles (AVs).
Zenuity - an autonomous driving software company - is hoping the collaboration will aid the development of AVs that can make decisions and predictions more quickly, thereby avoiding accidents.
The partners will also aim to reduce the runtime and memory footprint of deep learning algorithms while minimising energy consumption and cost.
They will use CERN’s
Navya has partnered with Esmo and SK Telecom to develop autonomous driving features using 5G technologies already deployed in South Korea.
Navya will provide autonomous driving technology and R&D resources to incorporate features associated with 5G networks, supervision and cloud computing.
Esmo - a manufacturer of wiring harnesses - will market the products and services and be responsible for setting up a vehicle assembly line.
SK Telecom will provide connectivity and a 5G autonomous driving in
SignPost Solutions (SPS) has launched the SPS 468 Chevron system to protect drivers in the event of a collision. It is designed with the intention of warning drivers of sharp bends and roundabouts, that they are themselves likely to cause accidents.
The easy-to-install and compact StaRWIS, presented by the US division of Lufft, is a new stationary sensor for road weather information systems.
StaRWIS is based on a non-invasive, spectroscopic measuring principle, according to the company, based in The sensor is particularly suitable for hard-to-reach or critical locations, which make installation on the ground difficult or impossible. This includes, for example, bridges or city streets.
