no code implementations • ICCV 2023 • Maosheng Ye, Jiamiao Xu, Xunnong Xu, Tengfei Wang, Tongyi Cao, Qifeng Chen
Also, to model the multi-modality in motion forecasting, we design a novel self-ensembling scheme to obtain accurate teacher targets to enforce the self-constraints with multi-modality supervision.
Ranked #9 on Motion Forecasting on Argoverse CVPR 2020
no code implementations • 25 Sep 2020 • Qi Dai, Xunnong Xu, Wen Guo, Suzhou Huang, Dimitar Filev
To demonstrate how our approach can be applied to realistic traffic settings, we conduct a simulation experiment: to derive merging and yielding behaviors on a double-lane highway with an unexpected barrier.