OFMPNet: Deep end-to-end model for occupancy and flow prediction in urban environment-Reference-Cited by-同舟云学术

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OFMPNet: Deep end-to-end model for occupancy and flow prediction in urban environment

Published:2024-06 Issue: Volume:586 Page:127649
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Murhij Youshaa^ORCID,Yudin Dmitry

Funder

Russian Science Foundation

Council on grants of the President of the Russian Federation

Analytical Center for the Government of the Russian Federation

Publisher

Elsevier BV

Reference37 articles.

1. Motion prediction on self-driving cars: A review;Paravarzar,2020

2. Large scale interactive motion forecasting for autonomous driving : The waymo open motion dataset;Ettinger,2021

3. Densetnt: End-to-end trajectory prediction from dense goal sets;Gu,2021

4. MotionCNN: A strong baseline for motion prediction in autonomous driving;Konev,2022

5. End-to-end object detection with transformers;Carion,2020

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