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Map-free vehicle trajectory prediction method based on heterogeneous graphs and dynamic scene constraints
Abstract Predicting the motion of surrounding vehicles is critical for autonomous driving systems. However, existing prediction models relying on high-definition (HD) maps experience degraded performance in scenarios where map data is incomplete or unavailable. To address this limitation, a map-free vehicle trajectory prediction framework, termed Dynamic Scene Prediction (DynaScene-Pred), is proposed.
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