Work

VectorNet based prediction of visitor trajectories in heritage sites using VR environmental perception

Year: 2025

Type: article

Abstract: Taoping Village, a historic Qiang fortress in Sichuan, China, features complex spatial layouts and perception-driven visitor movement, posing challenges for trajectory prediction. This study proposes a VectorNet-based framework integrating VR-based eye-tracking data with vectorized spatial representations. Using data from 45 participants navigating a VR scene of Taoping Village, the model demonstrated improved predictive accuracy (minADE 4.33 m, minFDE 7.19 m) compared to baseline approaches. These results support the feasibility of the approach and its potential integration into behavior-aware Digital Twin systems for heritage site management.

Source: npj Heritage Science

DOI: 10.1038/s40494-025-01922-5

Authors: Xiang Pan, Qing Lin, Huixian Wei, Li Guo, Brendan Harmon

Institutions: Sichuan Agricultural University, Louisiana State University

Language: English

Topic: Evacuation and Crowd Dynamics

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: hybrid

Funder: National Natural Science Foundation of China