Scaling Laws of Motion Forecasting and Planning

Mustafa Baniodeh, Kratarth Goel, Scott Ettinger, Carlos Fuertes, Ari Seff, Tim Shen, Cole Gulino, Chenjie Yang, Ghassen Jerfel, Dokook Choe, Rui Wang, Vinutha Kallem, Sergio Casas, Rami Al-Rfou, Benjamin Sapp, Dragomir Anguelov
June 2025
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Abstract

We study scaling behavior for motion forecasting and planning models, characterizing how data and model scale affect autonomous driving performance.

Type
Preprint
Motion Forecasting Autonomous Driving Foundation Models
Rami Al-Rfou
Rami Al-Rfou
Member of Technical Staff - TLM

My research interests include language modeling, embodied AI, motion forecasting, and multilingual modeling.

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