In the realm of autonomous vehicles, early sensor fusion systems relied heavily on the usage of Kalman Filters for perception. The state of the art has now bee

In the realm of autonomous vehicles, early sensor fusion systems relied heavily on the usage of Kalman Filters for perception. The state of the art has now been supplanted by large deep learning models in the present day, primarily relying on end-to-end trained Transformer networks. This may be familiar to you in the context of LLMs which have recently become popular, but they were actually first successfully utilized in autonomous vehicles (invented by researchers at Google and implemented in production at Waymo almost immediately).