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The field of motion prediction for automated driving has seen tremendous progress recently, bearing ever-more mighty neural network architectures.
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M. Ye, T. Cao, and Q. Chen, “Tpcn: Temporal point cloud networks for motion forecasting,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2021, pp. 11 318–11 327
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2022
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2022
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2023
Closest in time.
H. Cui, V. Radosavljevic, F.-C. Chou, T.-H. Lin, T. Nguyen, T.-K. Huang, J. Schneider, and N. Djuric, “Multimodal trajectory predictions for autonomous driving using deep convolutional networks,” in 2019 International Conference on Robotics and Automation (ICRA) . IEEE, 2019, pp. 2090–2096
2096
Closest in time.