Regularising neural networks for future trajectory prediction via inverse reinforcement learning framework
Predicting distant future trajectories of agents in a dynamic scene is challenging because the future trajectory of an agent is affected not only by their past trajectory but also the scene contexts. To tackle this problem, the authors propose a model based on recurrent neural networks, and a novel...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2020-08-01
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Series: | IET Computer Vision |
Subjects: | |
Online Access: | https://doi.org/10.1049/iet-cvi.2019.0546 |