Urban travel that’s safe for everyone without costing the earth
We apply top scientific and engineering talent to solving the technical challenges in delivering safe autonomous shared EV transport services in Europe’s cities
Safe and convenient demand-responsive shared mobility services for European city-dwellers so attractive that no-one feels they need to own a car
We use multiple sensors around the vehicle to provide a resilient and accurate view of our environment, including high resolution cameras, radar, ultrasound, LIDAR, IMS, audio and GNSS.
Using advanced computer vision combining deep neural networks with unsupervised learning technologies, our perception layers deliver a reliable scene segmentation, object classification, depth, state and position in 3D space. Our architecture will support the validation required for safe operation of a vehicle.
Predicting what happens next requires inference of the intentions of the actors in a 3D scene. Using a policy-based approach, our behavioural modelling layer assigns policy probabilities based on observation and solves the problem of how to iterate actor interactions forward in time within feasible computational limits.
A focus on high performance AI limits the need for dense prior maps to determine our motion; instead we determine tracks from point-to-point on a real-time basis, just like a human, using a much simpler prior map. Our vehicle is controlled on that path through tight control loops and multi-sensory feedback.