Research papers · Posted 2024.12.23 · Preprint

DeepMF: Deep Motion Factorization for Closed-Loop Safety-Critical Driving Scenario Simulation

DeepMF: Deep Motion Factorization for Closed-Loop Safety-Critical Driving Scenario Simulation

Overview

DeepMF factorizes traffic risk into hazardous-agent selection, opponent motion, ego reaction and accident probability using separate neural models. Current and historical observations drive interactive, closed-loop generation rather than only editing recorded scenario snippets.

Version: v1

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