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Estimating the joint distribution of on-road agents' future trajectories is essential for autonomous driving.
Sgdr: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2017
Earlier work this paper cites.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2019
Earlier work this paper cites.
Argoverse 2: Next generation datasets for self-driving perception and forecasting
Benjamin Wilson, William Qi, Tanmay Agarwal, John Lambert, Jagjeet Singh, Siddhesh Khandelwal, Bowen Pan, Ratnesh Kumar, Andrew Hartnett, Jhony Kaesemodel Pontes, Deva Ramanan, Peter Carr, and James Hays · 2021
Cited alongside, same era.
Scene transformer: A unified architecture for predicting multiple agent trajectories
Jiquan Ngiam, Benjamin Caine, Vijay Vasudevan, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, et al · 2022
Cited alongside, same era.
Hivt: Hierarchical vector transformer for multi-agent motion prediction
Zikang Zhou, Luyao Ye, Jianping Wang, Kui Wu, and Kejie Lu · 2022
Later among the works it cites.
Query-centric trajectory prediction
Zikang Zhou, Jianping Wang, Yung-Hui Li, and Yu-Kai Huang · 2023
Closest in time.
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