Motion Forecasting with Unlikelihood Training in Continuous Space

Deyao Zhu, Mohamed Zahran, Li Erran Li, Mohamed Elhoseiny

Abstract: Motion forecasting is essential for making safe and intelligent decisions in robotic applications such as autonomous driving. Existing methods often formulate it as a sequence-to-sequence predictio...