Research paper examining how surrounding agents influence vehicle trajectory prediction in multi-agent driving scenarios. Investigates confounding factors that affect model accuracy for autonomous vehicle motion forecasting.
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Super Agents and Confounders: Influence of surrounding agents on vehicle trajectory prediction
Academic research reveals that surrounding agents introduce systematic confounding in trajectory prediction models for autonomous vehicles, requiring new approaches to improve forecast reliability.
Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
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