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transformer trajectory prediction

the trajectory direction of the green pedestrian is straight forward, and that of the red pedestrian deflects to avoid the collision with the green pedestrian. 2 4thyear PhD candidate (2018-) at . We evaluate VPT360 over three widely-used . PDF Adaptive Trajectory Prediction via Transferable GNN Our model has three components: a Transformer-based module for taking the pedestrians' historical trajectory as input, we call it the encoder part, a Social-Attention-based module for capturing the spatial correlations of interactions, and a Transformer-based module for output the predicted trajectory of every pedestrian, which is a decoder part. Thus, instead of predicting each human pose trajectory in isolation, we introduce a Multi-Range Transformers model which contains of a local-range . Meanwhile, a Transformer encoder is applied in our method to extract the temporal information from the fused feature sequence. PDF S2TNet: Spatio-Temporal Transformer Networks for Trajectory Prediction ... Object Tracking and Trajectory Prediction Xinshuo Weng Robotics Institute, Carnegie Mellon University December 1, 2021 1. We believe that learning the temporal, spatial and temporal-spatial attentions is the key to accurate crowd trajectory prediction, and Transformers provide a . Bayesian Spatio-Temporal Graph Transformer Network (B-Star) for Multi ... We believe attention is the most important factor for trajectory prediction. Trajectory Transformer To plan a safe and efficient route, an autonomous vehicle should anticipate future motions of other agents around it. Our key observation is that a human's action and behaviors may highly depend on the other persons around. STAR models intra-graph crowd interaction by TGConv, a novel Transformer-based graph convolution mechanism. 3.1 Overview In this section, we introduce the proposed spatio-temporal graph Transformer based trajectory prediction framework, STAR. Due to the complex temporal dependencies and social interactions of agents, on-line trajectory prediction is a challenging task. PDF Transformer-based Long-Term Viewport Prediction in 360 Video: Scanpath ...

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