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Cover image for Real-Time Traffic-Sensor Fusion for a Smart Intersection
Design

Real-Time Traffic-Sensor Fusion for a Smart Intersection

FreeVerified credential4 weeksAdvanced

Overview

What this challenge is about.

Fuse radar, lidar, and camera data with Kalman filters on an edge box, then evaluate accuracy. Complete the challenge to earn your verifiable certificate.

The scenario

The Munich traffic agency (publicly funded, integrating with the Verkehrsverbund + emergency-services dispatch) cannot deploy adaptive signal control without trustworthy occupancy data — the fusion upgrade unblocks 5 follow-on projects.

CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced

The Brief

What you'll do, and what you'll demonstrate.

Design a real-time sensor-fusion architecture that cuts cross-modality disagreement from 12-15 percent to under 4 percent at 12 pilot intersections.

Earning criteria — what you'll demonstrate

  • Design multi-modality sensor-fusion architectures with explicit noise models
  • Implement Kalman or particle filters for real-time cyber-physical systems
  • Validate fusion outputs against ground-truth video
  • Specify edge-compute + MQTT architecture for municipal-grade reliability

Program Fit

Where this fits in your program.

Sharpens the same skills your degree expects you to demonstrate.

Aligned coursework coming soon.

One more thing

You can put a credential on your CV by Friday.