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

Figure 1

Research framework of pedestrian crossing intention: laser radar and HD monitor acquire data before pedestrians cross the zebra crossing. After the data are filtered, the characterization parameters of pedestrians’ crossing intention are obtained. After preprocessing, the characterization parameters are input into the stacking learning algorithm, and then the pedestrian crossing intention recognition model is established.