Honda Motor Co., Ltd.
MODEL PARAMETER LEARNING METHOD AND MOVEMENT MODE DETERMINATION METHOD

Abstract:

A learning device 30 extracts feature amount vectors from link data in which movement trajectories of a reference pedestrian M1 and a nearby pedestrian M2 are linked, links the feature amount vectors to condition satisfying data, determines the number of clusters, clusters the feature amount vectors of all clusters corresponding to the number of clusters, acquires the condition satisfying data to which the feature amount vectors are linked as learning data when the clustering of the feature amount vectors of all clusters corresponding to the number of clusters has converged, and learns a model parameter of a movement mode model by a predetermined machine learning algorithm using the learning data.