We are working on Computer vision and Deep Learning techniques. With respect to the former, tracking, hotspot detection, visual odometry and video stabilisation algorithms have been implemented. As for the latter, we have developed, train and tested deep convolutional neural networks (to detect people and civil and military vehicles).

Vehicle kinematic constrains and collision avoidance are taken into account when designing our planning algorithms.

This makes it possible for us to test algorithms rapidly, model autonomous vehicles and test AI systems using realistic scenarios.

We have a deep knowledge of state machines to handle vehicles which communicate on a distributed communication system.