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Found 3 papers, 0 papers with code
MGTR: Multi-Granular Transformer for Motion Prediction with LiDAR
Motion prediction has been an essential component of autonomous driving systems since it handles highly uncertain and complex scenarios involving moving agents of different types.
SAPI: Surroundings-Aware Vehicle Trajectory Prediction at Intersections
In this work we propose a deep learning model, i. e., SAPI, to predict vehicle trajectories at intersections.
Group Re-Identification with Multi-grained Matching and Integration
The task of re-identifying groups of people underdifferent camera views is an important yet less-studied problem. Group re-identification (Re-ID) is a very challenging task sinceit is not only adversely affected by common issues in traditionalsingle object Re-ID problems such as viewpoint and human posevariations, but it also suffers from changes in group layout andgroup membership.
