Yinxin Bao

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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Intelligent transportation systems (ITS) provide efficient guidance for real-time traffic management and assist people in scheduling their travel plans in advance (Shaygan et al., 2022). An essential function of ITS is traffic prediction, based on which it can optimize the allocation of road network resources and reduce traffic problems such as congestion and accidents (Kong et al., 2024).