A Deep Generative Model for Multi-Ship Trajectory Forecasting With Interaction Modeling
Mingda Zhu,
Peihua Han,
Weiwei Tian
et al.
Abstract:Multi-agent modeling is a challenging issue in intelligent systems, which is further compounded by heavy and complex traffic in maritime contexts. Trajectory forecasting can enhance operation safety. Nonetheless, effectively modeling interactions among vessels poses a significant difficulty. Towards this end, we propose a conditional variational autoencoder approach to ship trajectory prediction in a dynamic and multi-modal encounter situation. Leveraging a shared Recurrent Neural Network architecture and atte… Show more
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