Wicked Smart City · engineering prototype

8.8 Mile Example Survey

On September 10, 2026, WSC conducted a night time data collection in Boston, MA using our prototype street-light illumination assessment system. The roof-mounted, multi-sensor platform measures roadway illuminance and color across the travel lane, maps the surrounding environment in 3D with lidar, captures visible imagery for ground-truth context, uses an IR camera to help identify outages, utilizing RTK positioning for precise geolocation. Together, these sensors provide a detailed, drive-through assessment of lighting performance along city streets.

Top-down lidar point cloud plan view of the survey corridor
Lidar plan view — Top-down projection of the 3D point cloud for a 1,444 ft (440 m) segment. Height-encoded colour: dark = road surface, bright = fixture canopy.WSC prototype system · Boston, MA · September 10, 2026
8.8 milesin 37 minutes, averaging 20 mph between stops
178street lights located and measured
12flagged dark
61.5 Mlidar points
236 kphotometric readings
33 kthermal frames
67 kcamera frames

Lux heatmap — full corridor

The false-color lux heatmap below shows the full 8.8-mile surveyed corridor. Each GPS-tagged photometer reading is plotted at its road-surface location and colored by illuminance level. The color scale runs from violet (< 1 lux) through blue, green, yellow, and red (≥ 100 lux), making under-lit segments immediately visible.

Clusters of violet and blue indicate potential areas that fall below the IESNA RP-8 minimum of 0.6 lux for residential streets.

False-colour lux heatmap of the full 8.8-mile surveyed corridor
Full-corridor lux heatmap — False-color illuminance map of the complete 8.8-mile survey route. Color scale: violet = < 1 lux, red = ≥ 100 lux.WSC prototype system · Boston, MA · September 10, 2026

Ground-truth imagery

A forward-facing visible-light camera captures continuous video at 15 fps, providing ground-truth context for every photometer reading. Frames are time-stamped and geotagged, allowing any anomalous illuminance reading to be cross-referenced with the corresponding street view.

The image below is a representative frame from the survey corridor, showing the lit environment as seen from the vehicle at survey speed. Fixture positions visible in the image are cross-validated against the lidar-detected pole centroids.

Nighttime street view captured during the survey run
Survey corridor — Representative forward-camera frame captured during the nighttime survey run.WSC prototype system · Boston, MA · September 10, 2026

Illuminance profile

Illuminance is measured continuously along the driven line, with each peak corresponding to a street-light fixture and marked at the location independently determined by the lidar. Over this 1,444 ft (440 m) segment, the system identified 12 lamps with a mean spacing of 127 ft (38.8 m), a mean mounting height of 29.4 ft (9.0 m), and a mean bracket arm length of 7.2 ft (2.2 m)—all derived from the 3D point cloud data. Between fixtures, illuminance falls to a median of 3.0 lux, and 10% of the corridor drops below 1 lux.

These values represent illuminance on the road surface. The photometer bar measures in a plane 5.6 ft (1.70 m) above the pavement, and each reading is projected downward to the surface using the 2D lux field maps and the location of the street light sources detected with the lidar.

0.111010012345678910111202505007501,0001,250feet along the streetlight on the road
Illuminance vs. distance — Measured illuminance (lux) along the travel lane for a representative 1,444 ft segment. Numbered markers indicate street-light fixture positions as detected by lidar.
measured illuminancefixture location (lidar)

Fixture geometry from lidar

For each detected fixture, the lidar point cloud is used to reconstruct the pole geometry in 3D. The diagram below shows a representative fixture with the pole height, bracket arm length, and luminaire tilt angle extracted automatically from the scan.

These parameters feed directly into the illuminance projection model, allowing the photometer readings to be corrected for sensor height and projected to the road surface without any manual input. The mean mounting height across this survey was 29.4 ft (9.0 m) with a standard deviation of 1.8 ft (0.55 m).

3D reconstruction of a street-light fixture from the lidar point cloud
Fixture geometry reconstruction — 3D reconstruction of a representative street-light fixture from the lidar point cloud, showing pole height, bracket arm, and luminaire position.WSC prototype system · Boston, MA · September 10, 2026

Outage detection — IR camera

No single sensor decides it. The lidar locates the pole and its bracket arm, and the thermal camera and up camera confirm a fixture head is present. The photometer and the forward camera then show whether that fixture is putting light on the road.

The thermal camera sees both fixtures, but only the lit one glows in the cameras and delivers light to the pavement: 0.2 lux against 83 lux. Together, these technologies verify that a fixture is there and that its light is out.

IR camera comparison: functioning luminaire vs. suspected outage
Outage verification using multiple sensors — LIDAR, Thermal, Visible Camera, and Lux (not shown)WSC prototype system · Boston, MA · September 10, 2026

Color temperature & lamp technology

Lamp technology, inferred from spectrum. Color temperature alone does not separate technologies: within the boxed band 15 lamps share a correlated color temperature (CCT, how warm or cool a white light looks, in kelvin) between 2550 and 2900 K, of which 3 carry almost no blue and 12 carry the blue pump of a white source.

Splitting on blue content gives 15 sodium, 33 warm white and 87 neutral white. Two independent checks agree: chromaticity — a lamp's position on the CIE color chart — puts the sodium group at x 0.51 against 0.40 for the white lamps, and the lidar puts those fixtures on 25.2 ft (7.7 m) poles against 26.9 ft (8.2 m).

2000250030003500400045000.050.100.150.20same CCT15 sodium33 warm white87 neutral whitecolor temperature K →blue content

Processing pipeline

Raw sensor streams are fused in post-processing to produce georeferenced illuminance maps and fixture inventories.

  1. 01

    Time-sync & ingest

    All sensor streams are aligned to a common UTC timeline using the RTK GNSS to set the local clock. Raw photometer, lidar, and camera frames are ingested into a unified data store.

  2. 02

    Lidar processing

    Point clouds are registered, motion compensated and used to extract fixture pole positions, mounting heights, and bracket arm lengths.

  3. 03

    Illuminance projection

    Photometer readings are projected from sensor height to road surface using the fixture geometry derived from the point cloud, producing a continuous lux profile along the travel lane.

Methodology notes

Data was collected with vehicle travelling at normal traffic speeds. Fixture identification uses a peak-detection algorithm applied to the illuminance profile, cross-validated against lidar-detected pole centroids within a 8 m search radius of the vehicle path.

Wicked Smart City · Engineering PrototypeSurvey date: September 10, 2026 · Boston, MA
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