Transferable Pedestrian Motion Prediction Models at Intersections
© 2018 IEEE. One desirable capability of autonomous cars is to accurately predict the pedestrian motion near intersections for safe and efficient trajectory planning. We are interested in developing transfer learning algorithms that can be trained on the pedestrian trajectories collected at one inte...
Main Authors: | Shen, Macheng, Habibi, Golnaz, How, Jonathan P. |
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Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2021
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Online Access: | https://hdl.handle.net/1721.1/137874 |
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