Smart City Sidewalk and Road Surface Damage Inventorying.

Potholes and sidewalk damage in city roads causing citizen injuries and compensation lawsuits.

REF: EVT-08
City Management & Infrastructure

Operational
Mechanism.

Technical details of field integration, data flow, and autonomous decision algorithms.

Edge Hardware

3D LiDAR
HD Depth Camera
RTK-GPS
Accelerometer Sensor

Artificial Intelligence

Navigation (SLAM)

Autonomous patrol on city sidewalks and roads compliant with traffic/pedestrian rules

Perception & Analysis

Pothole Depth/Area Measurement, Crack Classification and Paving Stone Displacement Detection

Autonomous Workflow

The robot patrols autonomously on city sidewalks and roads; scans surface damages with 3D LiDAR and depth camera.

Potholes, longitudinal/transverse cracks, and displaced paving stones classified by AI and severity scored.

Each damage point transmitted to municipal GIS system with GPS coordinates, photos, and measurement data.

Maintenance priority map auto-generated; correlated with citizen complaints for proactive repair planning.

Operational ROI.
Strategic Decision.

EXPECTED BALANCE IMPACT

Annual $64,000 infrastructure maintenance and legal savings. ROI: 3.2x | Payback: 1.4 Years.

Reduces road surface-related complaints by 74%; decreases compensation costs by $80K.

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Professional Presentation.

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