Most methods do not model the pedestrian groups in autonomous driving,which will have an impact on road traffic safety.Therefore,a group perception pedestrian trajectory prediction network called GPCNet was proposed.Spe-cifically,in intra-group,the interaction between pedestrian was learned at the individual level and the preference issue of different pedestrian was considered.In inter-group,the interaction between pedestrian groups was learned at the group level and the collision issue of pedestrian trajectory was considered using the social force model.Simulation results dem-onstrate that GPCNet improves the performance on the ETH and UCY datasets by 75.4%compared to the commonly used trajectory prediction methods.
维普
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