Steve Rose goes for a spin. Steve Rose goes for a spin. 'We don't tell the car what it should do': my ride in a self-driving taxi Driverless'robotaxis' will be accepting fares in Britain's biggest city by the end of next year. Can they deal with London's medieval roads, hordes of pedestrians and errant ebikers? 'I'm really excited to show you this," says Alex Kendall, the CEO of Wayve, as he gets behind the wheel of one of the company's electric Ford Mustangs. The car pulls up to a junction at a busy road in King's Cross, London, all by itself. "You can see that it's going to control the speed, steering, brake, indicators," he says to me - I'm in the passenger seat. "It's making decisions as it goes.

Advances in in computer vision have lead to classifiers that nearly match human performance in many applications. However, while the human visual system is remarkably versatile in extracting semantic meaning out of even degraded and heavily obfuscated images, today's visual classifiers significantly lag behind in emulating the same robustness, and often yield incorrect outputs in the presence of natural and adversarial degradations.

While the ImageNet dataset has been driving computer vision research over the past decade, significant label noise and ambiguity have made top-1 accuracy an insufficient measure of further progress.