Mobile Lidar
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The Mobile LiDAR module enables analysis, line detection, and feature extraction from LiDAR data collected by terrestrial vehicles. Unlike aerial LiDAR, this function interprets LiDAR files as angles and distances, rather than using PCodes and classification. The primary focus is roadway data extraction, specifically for marking lines and alignments.
1. Key Features of the Mobile LiDAR Module
✔ Reads LiDAR data from ground-based mobile systems.
✔ Detects road marking lines by analyzing signal angle & intensity.
✔ Transfers detected lines into alignments for further processing.
✔ Supports automatic & manual adjustment of horizontal & vertical alignments.
2. Mobile LiDAR Interface – Options and Descriptions
Option | Description |
---|---|
Load LiDAR Data | Reads LiDAR files as angles and distances instead of PCodes or classification data. |
Analyze LiDAR Signals | Processes the angle and intensity variations to detect road markings. |
Extract Road Markings | Automatically detects lane markings, curbs, and boundaries based on intensity changes. |
Transfer to Alignments | Converts extracted road markings into alignments for further refinement. |
3. Road Marking Line Extraction
✔ Detects lines based on LiDAR intensity changes (similar to virtual surveying’s intensity-based line extraction).
✔ Optimized for roadway data collected from a vehicle-mounted LiDAR system.
✔ Extracted lines are converted into alignments (usable in the Civil module).
🔹 Processing Steps:
Load LiDAR data collected from a mobile scanning system.
Run signal analysis to detect intensity variations.
Extract marking lines using predefined angle and intensity thresholds.
Transfer extracted features into the Alignment module.
Manually refine horizontal & vertical alignments for accuracy.
4. Refining Alignments in the Civil Module
✔ Extracted lines behave like standard alignments in VisionLidar’s Civil module.
✔ Horizontal and vertical alignments can be adjusted manually.
✔ Alignments can be used for:
Road reconstruction & planning
Infrastructure mapping
GIS & transportation analysis
5. Best Practices for Mobile LiDAR Processing
✔ Ensure high-quality LiDAR scans with clear intensity variations.
✔ Use appropriate signal thresholds to avoid detecting irrelevant features.
✔ Refine extracted lines manually for high-precision alignments.
✔ Export alignments to GIS & CAD software for roadway design and analysis.
🚀 Optimize Mobile LiDAR Processing for High-Precision Roadway Mapping!
With automated line detection, intensity analysis, and alignment transfer, VisionLidar’s Mobile LiDAR module streamlines roadway infrastructure mapping and transportation planning. 🚗📡📏