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We propose a motion forecasting model called BANet, which means Boundary-Aware Network, and it is a variant of LaneGCN.
Incorporating nesterov momentum into adam
T. Dozat · 2016
Earlier work this paper cites.
Sgdr: Stochastic gradient descent with warm restarts
I. Loshchilov and F. Hutter · 2016
Earlier work this paper cites.
Argoverse: 3d tracking and forecasting with rich maps
M.-F. Chang, J. W. Lambert, P. Sangkloy, J. Singh, S. Bak, A. Hartnett, D. Wang, P. Carr, S. Lucey, D. Ramanan, and J. Hays · 2019
Cited alongside, same era.
Learning lane graph representations for motion forecasting
M. Liang, B. Yang, R. Hu, Y. Chen, R. Liao, S. Feng, and R. Urtasun · 2020
Cited alongside, same era.
Argoverse 2: Next generation datasets for self-driving perception and forecasting
B. Wilson, W. Qi, T. Agarwal, J. Lambert, J. Singh, S. Khandelwal, B. Pan, R. Kumar, A. Hartnett, J. K. Pontes, D. Ramanan, P. Carr, and J. Hays · 2021
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