Uber's researchers make very confident presentations about the very advanced ideas that are ostensibly implemented in their cars. How does this square with the

Uber's researchers make very confident presentations about the very advanced ideas that are ostensibly implemented in their cars. How does this square with the apparently very primitive system that's described in the NHTSA report? Example: Jeff Schneider: Self Driving Cars and AI https://youtu.be/jTio_MPQRYc https://youtu.be/jTio_MPQRYc Or: https://eng.uber.com/research/predicting-motion-of-vulnerable-road-users-using-high-definition-maps-and-efficient-convnets/ https://eng.uber.com/research/predicting-motion-of-vulnerabl... Predicting Motion of Vulnerable Road Usersusing High-Definition Maps and Efficient ConvNets Following detection and tracking of traffic actors, prediction of their future motion is the next critical component of a self-driving vehicle (SDV), allowing the SDV to move safely and efficiently in its environment. This is particularly important when it comes to vulnerable road users (VRUs), such as pedestrians and bicyclists. We present a deep learning method for predicting VRU movement where we rasterize high-definition maps and actor’s surroundings into bird’s-eye view image used as input to convolutional networks. In addition, we propose a fast architecture suitable for real-time inference, and present an ablation study of rasterization choices.