STENet: A hybrid spatio-temporal embedding network for human trajectory forecasting

Bo Zhang, Chengzhi Yuan, Tao Wang, Hongbo Liu

Abstract: Highlights•We present a hybrid spatio-temporal embedding network for human trajectory forecasting.•We combine 1D-CNN and LSTM modules to embed position features at multiple temporal scales.•We exploit a clustering strategy to provide the spatial layout of pedestrians at the group level.