Machine Learning models are being trained to predict what the view should look like. If a single video frame is corrupted by a burst of static, the AI will generate the missing frame based on the previous 10 frames. This is called Generative Video Correction.
For commercial compliance (e.g., FAA Part 107), data correction logs must be auditable. Blockchain-based logging ensures that records of "why the system corrected a GPS glitch" cannot be tampered with after a crash. rc view and data correction
The field is moving towards AI-driven correction. Machine Learning models are being trained to predict
Data correction is the process of updating erroneous or inconsistent data identified by the RC View. Unlike direct UPDATE statements, correction is typically performed via: The field is moving towards AI-driven correction
| Function | Purpose | |----------|---------| | Overlay display | Compare multiple data layers (e.g., raw LiDAR vs. interpolated DTM). | | Profile/Cross-section tools | Detect vertical anomalies in elevation data. | | Point/segment editing | Manually adjust individual data points or breaklines. | | Batch/automatic correction | Apply rules (e.g., spike/pit removal, smoothing filters). | | Attribution editing | Modify class codes (e.g., reclassify "low noise" to "ground"). | | Undo/Redo & logging | Track changes for audit trails. |