Computer vision-based displacement identification and its application to bridge condition assessment under operational conditions
Bridge damage detection is crucial for ensuring the safety and integrity of the bridge structure. Traditional methods for damage detection often rely on manual inspections or sensor-based measurements, which can be time-consuming and costly. In recent years, computer vision techniques have shown pro...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
ELSP
2024
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| Online Access: | http://purl.org/au-research/grants/arc/FT190100801 http://hdl.handle.net/20.500.11937/94981 |