Stacking-Based Ensemble Learning Method for the Recognition of the Pedestrian Crossing Intention

Figure 2

AT-Bi-LSTM structure: input layer is used to input data; the data flows into the forward and backward layers of the Bi-LSTM to obtain important clues in the data. The attention layer is used to remove useless information from data and extract key features. The softmax layer is responsible for outputting pedestrian intentions.