Wayve's AV2.0 technology, which has been designed around a “camera-first sensing suite”, has been designed to adapt depending on the needs of the fleet operator.

It uses machine learning to help it quickly adapt to new cities and environments as well as different vehicle types by making use of “petabyte-scale” driving data harvested from its partner fleets.

Wayve said their approach allows it to more easily scale for commercial deployments in different cities when compared to other autonomous systems which typically rely on an expensive and complex array of sensors and are operationally limited by HD maps and rules-based control strategies.

Image credit: Wayve

Last year, the firm signed deals with Ocado and Asda to start testing deliveries which will feature a safety driver in the van...