CVJun 30, 2022
TENET: Transformer Encoding Network for Effective Temporal Flow on Motion PredictionYuting Wang, Hangning Zhou, Zhigang Zhang et al.
This technical report presents an effective method for motion prediction in autonomous driving. We develop a Transformer-based method for input encoding and trajectory prediction. Besides, we propose the Temporal Flow Header to enhance the trajectory encoding. In the end, an efficient K-means ensemble method is used. Using our Transformer network and ensemble method, we win the first place of Argoverse 2 Motion Forecasting Challenge with the state-of-the-art brier-minFDE score of 1.90.