Brain-like memory-based environment perception and decision-making method and system for unmanned surface vehicle

US12422859B2 · kind B2 · utility

Assignee

• SHANGHAI UNIVERSITY · CN

Inventors

• Shaorong Xie · Shanghai, CN
• Hang Yu · Shanghai, CN
• Xiangfeng Luo · Shanghai, CN

Key dates

• Filing date: Sep 6, 2023
• Grant date: Sep 23, 2025
• Expiry date: Dec 27, 2043

Classification

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

Abstract

The present disclosure relates to the technical field of decision-making of unmanned surface vehicles, and provides a brain-like memory-based environment perception and decision-making method and system for an unmanned surface vehicle. The method includes: obtaining an image of an environment in front of an unmanned surface vehicle; and inputting the image of the environment into an environment perception and decision-making model of the unmanned surface vehicle, and outputting an action instruction, where the environment perception and decision-making model of the unmanned surface vehicle includes an image feature extractor, a Bidirectional Encoder Representations from Transformers (BERT) model, a fully connected layer, a short-term scene memory module, and a long-term memory module that are connected in turn; the BERT model extracts an image feature representation containing a text feature from an image feature. The present disclosure improves accuracy of decision-making of an action.