Method for predicting trajectory of traffic participant in complex heterogeneous environment

US12112623B1 · kind B1 · utility

Assignee

• TONGJI UNIVERSITY · CN

Inventors

• Lin Zhang · Qiaonanxiang, CN
• Hong Chen · Shanghai, CN
• Rongjie Yu · Shanghai, CN
• Qiang Meng · Sha Tin, CN
• Jinlong Hong · Fujian, CN

Key dates

• Filing date: Dec 12, 2023
• Grant date: Oct 8, 2024
• Expiry date: Dec 12, 2043

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y02T10/40
• WIPO field: Control
• WIPO sector: Instruments

Abstract

Disclosed is a method for predicting a trajectory of a traffic participant in a complex heterogeneous environment, including the following steps: obtaining traffic participant information in a complex heterogeneous environment; arranging and numbering traffic participant classes based on the class information, to obtain serial numbers of the traffic participant classes; establishing a position graph, a velocity graph, an acceleration graph, and a class graph, into each of which expert experience is introduced; and capturing topological structure relationships and time dependence relationships to obtain a position hidden state, a velocity hidden state, an acceleration hidden state, and a class hidden state; classifying the position hidden state, the velocity hidden state, the acceleration hidden state, and the class hidden state to obtain a hidden state set of traffic participants; and decoding hidden states of the traffic participants separately using a corresponding decoder to obtain future trajectory predictions of the traffic participants.