Monday, June 20
10:45 AM - 11:15 AM
Live in San Francisco
Less Details
Object detection and motion forecasting are critical components of self-driving technology, tasked with understanding the current state of the world and estimating how it will evolve in the near future. In the talk we focus on these important problems and discuss end-to-end methods that jointly perform these two tasks, which have shown state-of-the-art performance. We present a deep dive into recently proposed MultiXNet end-to-end model, and discuss a number of improvements that build on this method as a base.