Imperial College London

London, UK. 23 May 2022 – Autonomous vehicles (AV) trained using extreme one-in-a-million accident data and ‘near-miss’ scenarios can achieve a six-fold improvement on the detection of a collision risk posed by other road users compared to vehicles being trained using traditional approaches. That’s the finding of D-RISK, a co-innovation project part funded by the

A report identifying the potential impact of autonomous vehicle (AV) services deployment on major UK cities in the future has been published by Oxbotica, Imperial College London and Transport for London (TfL).

Huawei, the global telecoms equipment supplier will be taking a 5G consumer experience on tour this summer.

Tantalum Corporation (Tantalum) announced an agreement with SAP to integrate SAP® Vehicles Network into Tantalum’s Pay.Car end-to-end payment platform for connected cars, making it easier for motorists to find and pay for services with just one click.