Pedestrian Trajectory Prediction in Heterogeneous Traffic Using Pose Keypoints-Based Convolutional Encoder-Decoder Network
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DOI: 10.1109/tcsvt.2020.3013254
Abstract: Future pedestrian trajectory prediction offers great prospects for many practical applications. Most existing methods focus on social interaction among pedestrians but ignore the factors that heterogeneous traffic objects (cars, dogs, bicycles, motorcycles, etc.) have significant… read more here.
Keywords: prediction; pedestrian trajectory; pose keypoints; heterogeneous traffic ... See more keywords