Driven Sensing

Field-data visualization tools for asphalt and road condition surveys.

🛠️

Driven Engineering

Internal: upload and analyze TDRI (🐍 subsurface moisture) or RiAAS (🎥 road-segment) scans.

👥

Client Portal

Read-only client-facing views, organized as Clients → Scans / Reports.

Client Portal

Clients → Scans (read-only TDRI views) and Reports.

View as:

Client Project

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Selected point

Click a dot, drag the slider, or click anywhere on the chart.

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No point selected yet.

Index

— / —

Value across survey

Report

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Driven Engineering

Internal TDRI + RiAAS workflows.

🐍

Data Upload

Upload TDRI, RiAAS (RRA), and RiAAS raw-frame files — mixed types together — and view them as toggle-able layers on one shared map.

🎯

Reporting

Build a report from the scans loaded in Data Upload. Report options coming soon.

🆎

TDRI Scan Compare

Upload two TDRI scans and compare them side-by-side — map vs map, value-curve vs value-curve. Apply a per-scan offset to align features, or overlay both onto one map / chart.

🧪

RiAAS Delta Mist Suggestions

Experimental: finds road stretches that are good Delta Mist candidates (preventive treatment on still-good pavement). Default = RRA grades 5–6; grade selection is adjustable. Outputs a ranked list with total length per stretch.

Reporting 🎯

Pick a saved Client Data file — or upload a .dsjson — to report on.

1. Choose data

From the Client Portal — Data files saved under a client.

Client

Or upload a Data file (.dsjson exported from Data Upload).

Loaded data

No data loaded yet. Choose a Client Data file or upload one.

Read-only view. Click a TDRI or Joon dot, or an RRA segment, to see its values; click a Joon frame to open its dashcam image.

RiAAS Delta Mist Suggestions 🧪

Stretches of road that are good Delta Mist candidates — pavement that's still in good shape and worth treating preventively. Built from the per-frame RPCI data in the CU Boulder scan (higher resolution than segment-level RRA).

Status

Loading…

Candidate RPCI grades

RPCI grade scale: 6 = excellent, 1 = critical. Default 5–6 = still-good pavement, preventive-treatment sweet spot.

Stretch thresholds

A "stretch" = consecutive matching frames in the same drive session. Adjust how aggressively we split.

Max gap (m) Max gap (s) Min length (ft)

Summary

Candidate stretches are drawn as colored polylines along the drive path; the line color reflects the worst grade in the stretch.

Candidate stretches

A "stretch" = consecutive matching segments on the same road link. Sorted by total length, longest first. Click a row to fly to it on the map.

CU RiAAS Data Test 🧪

Raw per-frame layer from the CU Boulder RiAAS scan (March 2026, 1,825 frames). Frame dots show RPCI grade; hazard pins are the AI-detected potholes, patches, and alligator-cracks. Click a hazard to see the dashcam image with the detection box.

Status

Loading data.json…

View

Pick one set of dots to display. Segments + hazards toggle independently below.

RPCI (per-frame, from data.json) TDRI (requires upload) Moisture Distress Index (MDI) (TDRI × RPCI)

Overlays

RRA segments

Shared 6-band scale

RPCI is colored by grade (1–6); RRA Score is binned into the same 6 bands so the colors line up.

Hazard pins

Show hazard detections

TDRI data (saved client scan)

No TDRI loaded.

Pulled from the Client Portal's saved TDRI scans. To add a scan: upload it on the TDRI Upload page and save it to a client. Switch to TDRI in the View section above to show them.

Moisture Distress Index (MDI) settings

Each TDRI point pairs with its nearest RPCI frame within the match radius. Click an MDI dot to open its matched RPCI frame's dashcam image.

Match radius (m) TDRI scale (value → 1.0) RPCI weight50% RPCI · 50% TDRI

Road filter

Hazard list

Data Upload

Upload TDRI, RiAAS (RRA), and RiAAS raw-frame files — mixed types together. Each type plots as its own toggle-able layer on one shared map.

1. Files

Option A — Choose Data File (from this app): reload a saved session exported from here (.dsjson).

Option B — Choose raw files: add one or more source files. Each gets a type — TDRI (Lat/Lng/Value CSV), RiAAS (RRA) (segment xlsx/CSV), or RiAAS (Joon Raw Data) (per-frame JSON/CSV). Type is auto-guessed; override per file if needed. Mixed types are fine.

No files loaded.

Upload frame images to blob (admin)

Pick the Joon dashcam image zip (e.g. DP_20260526_IMG.zip, or the outer bundle that contains it) to push the JPGs to blob storage so frames show their pictures. One-time per drop; a full image set can take several minutes.

No TDRI file loaded.

TDRI — color scale (discrete bins)

Each row is a bin. Min is inclusive, max is exclusive. Use 999 in the last max for "+∞".

Min	Max	Color	Label

TDRI — options

Simplify scan data (group nearby points)

Groups points within a chosen radius into a single averaged point. Useful when the scan has many near-duplicates with different values.

Radius (ft)

Connect dots with lines

Draws a line through all (non-masked) points in CSV order, matched to the dot diameter and colored using the active scale.

Connect dots with lines Gradient between dots (smooth color transition)

Parking lot mode (heatmap inside a polygon)

Renders an inverse-distance-weighted heatmap clipped to a polygon you draw. Use this when the scan isn't a road — parking lots, yards, pads. When enabled, click on the map to drop polygon corners, double-click to finish.

Enable parking lot mode

Hold Shift and drag to select points, segments & frames

0 selected

The Data file (.dsjson) saves every layer, edit, color scale, and the parking-lot polygon so you can reload the exact state here later. Reload it from 1. Files → Choose Data File.

TDRI Scan Compare

Upload two TDRI CSVs (same columns as TDRI Upload: Latitude, Longitude, Value). Compare them side-by-side, apply a per-scan offset to align features, or overlay both onto one chart.

1. Scans

■ Scan A

No file loaded.

■ Scan B

No file loaded.

2. Parking lot mode (heatmap inside a polygon)

IDW heatmap clipped to a polygon you draw. Polygon is shared between Scan A and Scan B (they should cover the same area). Required for Auto-align (next step) and Diff view. When enabled, click on the active map to drop corners, double-click to finish.

Enable parking lot mode

3. Value offset (shifts values up or down)

Add a constant (or % of scan mean) to every value in a scan — useful when two scanners report slightly different baselines. Affects charts, dot colors, parking-lot heatmap, and the diff. Negative shifts down, positive shifts up. Auto-align needs the parking-lot polygon set above.

A

B

4. View

Side-by-side Overlay (A + B on one map/chart) Diff (B − A heatmap, needs polygon)

Diff shows where Scan B is higher or lower than Scan A across the parking-lot polygon. Best for two scans of the same lot done in different patterns.

5. Color scale

Uses the saved TDRI scale (edit it on the TDRI Upload page).

6. Export

Combines Scan A + Scan B (with value offsets applied, masked rows excluded) into a single CSV. Re-upload via TDRI Upload to save as a Client Scan.

■ Scan A

■ Scan B

Driven Sensing

Client Portal

Client Project

Selected point

Value across survey

Report

Driven Engineering

Reporting 🎯

1. Choose data

Loaded data

2. Create report

Report

RiAAS Delta Mist Suggestions 🧪

Status

Candidate RPCI grades

Stretch thresholds

Summary

Selected stretch

Candidate stretches

CU RiAAS Data Test 🧪

Status

View

Overlays

Shared 6-band scale

Hazard pins

TDRI data (saved client scan)

Moisture Distress Index (MDI) settings

Road filter

Hazard list

Hazard

Data Upload

1. Files

Layers

TDRI — color scale (discrete bins)

TDRI — options

RiAAS (RRA) — color scale

RiAAS raw frames

RiAAS raw (Joon) — color scale

TDRI — Selected point

TDRI — Value across survey

TDRI data

RiAAS (RRA) data

RiAAS raw (Joon) data

TDRI Scan Compare

1. Scans

2. Parking lot mode (heatmap inside a polygon)

3. Value offset (shifts values up or down)

4. View

5. Color scale

6. Export

■ Scan A — value across survey

■ Scan B — value across survey

Overlay — ■ A vs ■ B

Save as Client Scan

Move scan to a different client

New report