Cyvl.com

The Collection Process

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01

Mount the sensor

We ship the Cyvl sensor directly to you. Roof-mount it on any standard vehicle with a roof height between 5 and 8 feet — a pickup truck, midsize SUV, or cargo van all work. For sidewalk mapping, choose between a push cart or a bike trailer. No installation crew needed.

Day 1Sensor arrives, mounted in minutes
02

Drive your network

Drive your road network at posted speeds. The Cyvl sensor captures everything simultaneously: 360° spherical imagery at approximately 30 ft intervals, dense LiDAR point data at 64 channels, and RTK GPS for centimeter-level georeferencing. Up to three lanes per pass. No stopping, no rescan areas, no lane closures.

Days 2–43–5 mph urban · 5–10 mph rural
03

Upload to the cloud

When collection ends, the sensor automatically transfers data from onboard storage to Cyvl’s secure cloud environment via an iPad. No manual file handling. No drives being shipped. The Cyvl mobile app shows upload status in real time.

Days 4–5Automated transfer, status in-app
04

Receive your data

Within days, your network data is processed through Cyvl’s AI pipeline: 50+ machine learning models classify distresses, extract assets, and generate condition scores. PCI scores, asset inventories, 3D point clouds, and 360° imagery all appear in your Cyvl platform — linked, searchable, and ready to act on.

Days 5–7PCI, assets, point cloud, imagery delivered

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Cyvl's data collection uses a purpose-built sensor comprised of LiDAR, GoPro cameras, and GPS that can be mounted on any vehicle, not just a dedicated van. That means your data collection does not require special equipment, road closures, or flagging crews. A trained Cyvl operator drives your network at normal vehicle speeds, capturing a complete picture of your roads and right-of-way in a single pass.

Raw sensor data is uploaded directly to Cyvl's cloud infrastructure through AWS S3, then run through a multi-stage processing pipeline that handles image extraction, GPS trajectory processing, 3D environment reconstruction via SLAM, LiDAR data fusion, and AI model inference. The result is a fully attributed, georeferenced dataset covering every product your project includes, ready for delivery and platform upload.

Because the sensor can attach to any car, Cyvl offers a more flexible, cost-effective approach than van-based competitors. And because Cyvl handles the entire collection and processing workflow, your staff stays focused on managing infrastructure rather than managing a data collection project.

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Common Questions

Does wet pavement affect results?

Drier conditions are recommended. Wet pavement can affect detection of certain distress types and may increase false positives for weathering and raveling. Light moisture without standing water or pooling typically does not impact quality.

Can Cyvl collect on highways and interstates?

Yes. The system can collect overhead signage and infrastructure at highway speeds. Cyvl supports collection of overhead interstate signs and can operate at standard posted highway speeds.

Can my own staff drive the collection routes?

Yes. Any driver familiar with the road network can collect data. Cyvl provides training and a mobile app that shows collection status, coverage gaps, and data quality indicators in real time.

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