Zobrazeno 1 - 4
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pro vyhledávání: '"Weng, Erica"'
Developing autonomous vehicles that can safely interact with pedestrians requires large amounts of pedestrian and vehicle data in order to learn accurate pedestrian-vehicle interaction models. However, gathering data that include crucial but rare sce
Externí odkaz:
http://arxiv.org/abs/2407.04843
\textit{Graph neural networks} (GNNs) are effective models for many dynamical systems consisting of entities and relations. Although most GNN applications assume a single type of entity and relation, many situations involve multiple types of interact
Externí odkaz:
http://arxiv.org/abs/2310.07015
Autonomous vehicles (AVs) require comprehensive and reliable pedestrian trajectory data to ensure safe operation. However, obtaining data of safety-critical scenarios such as jaywalking and near-collisions, or uncommon agents such as children, disabl
Externí odkaz:
http://arxiv.org/abs/2310.05882
Multi-modal trajectory forecasting methods commonly evaluate using single-agent metrics (marginal metrics), such as minimum Average Displacement Error (ADE) and Final Displacement Error (FDE), which fail to capture joint performance of multiple inter
Externí odkaz:
http://arxiv.org/abs/2305.06292