The trick, according to Wayve, is the approach to the driving AI. It learns to drive like a human through imitation and reinforcement, using computer vision to follow the intended route. It also uses the input data to learn only those features that are most relevant to control. This not only helps it get up to snuff quickly, but dramatically lightens the computing workload. The self-driving AI can run on the "equivalent" of a modern laptop, Wayve said. Existing self-driving cars frequently need extensive computing power that can be expensive and heavy.

The technology isn't about to see everyday use. Wayve's demo saw the Twizy putting around at low speeds in relatively light traffic. While it did handle some complicated scenarios, there's a certain tentativeness to the vehicle's behavior. The human occupant had to take over to park, too. Nonetheless, it's one step closer to autonomous rides that can navigate unfamiliar roads and unexpected situations with relative ease.