一种基于多模态大模型的盲道遥感影像智能识别方法
By processing remote sensing images and standardized text data of tactile paving using a multimodal large model, the problem of insufficient utilization of semantic information in tactile paving identification was solved, enabling complete and continuous identification of tactile paving paths and improving the accuracy and reliability of identification.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- WENZHOU INST OF GEOTECHNICAL INVESTIGATION SURVEYING & MAPPING
- Filing Date
- 2026-04-01
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for identifying tactile paving are prone to misidentification or omission in complex environments. They lack comprehensive utilization of tactile paving laying standards, spatial relationships of facilities, and road scene constraints, making it difficult to form complete and structured tactile paving identification results.
A smart identification method for tactile paving based on multimodal large model remote sensing images is adopted. By collecting and processing tactile paving remote sensing images and standardized text data, a multimodal dataset is constructed, cross-modal alignment inference and semantic reorganization are performed to generate a candidate set of tactile paving, and semantic adversarial verification is carried out to finally generate a tactile paving identification map.
It improves the accuracy of candidate area identification for tactile paving, reduces the false identification rate, and achieves complete identification and continuity verification of tactile paving paths, thereby enhancing the integrity and reliability of tactile paving path identification.
Smart Images
Figure CN121962963B_ABST