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Scaling Laws of Motion Forecasting and Planning
MAD: Memory-Augmented Detection of 3D Objects
DIO: Decomposable Implicit 4D Occupancy-Flow World Model
DeTra: A Unified Model for Object Detection and Trajectory Forecasting
UnO: Unsupervised Occupancy Fields for Perception and Forecasting
QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving
Joint Perception and Prediction (PnP)
Prediction Tutorial
Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion
ImplicitO: Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving
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