Tesla Full Self Driving beta tester, Whole Mars Catalog, shared a neat video of Tesla's FSD Beta v. 10.11 as seen from the sky.
— Upgraded modeling of lane geometry from dense rasters to an autoregressive decoder that directly predicts and connects “vector space” lanes point by point using a transformer neural network. This enables us to predict crossing lanes, allows computationally cheaper and less error-prone post-processing, and paves the way for predicting many other signals and their relationships jointly and end-to-end.
— Improved right-of-way understanding if the map is inaccurate or the car cannot follow the navigation. In particular, modeling intersection extents is now entirely based on network predictions and no longer uses map-based heuristics. — Reduced the predicted velocity error of very close-by motorcycles, scooters, wheelchairs, and pedestrians by 63.6%. To do this, we introduced a new dataset of simulated adversarial high-speed VRU interactions. This update improves autopilot control around fast-moving and cutting-in VRUs.— Improved control for nearby obstacles by predicting continuous distance to static geometry with the general static obstacle network.
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