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Zhaocheng He

2 accepted papers

2025

A Driving-Style-Adaptive Framework for Vehicle Trajectory Prediction

NeurIPS 2025poster

Vehicle trajectory prediction serves as a critical enabler for autonomous navigation and intelligent transportation systems. While existing approaches predominantly focus on temporal pattern extraction and vehicle-environment interaction modeling, they exhibit a fundamental limitation in addressing…

Cited by 0SourceScholar
2024

Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction

CVPR 2024poster

Multi-agent trajectory prediction is essential in autonomous driving risk avoidance and traffic flow control. However the heterogeneous traffic density on interactions which caused by physical laws social norms and so on is often overlooked in existing methods. When the density varies the number of…

Cited by 1SourcePDFScholar