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MSight Roadside Intelligence System

🌐 What is MSight?

MSight is an edge-cloud intelligent infrastructure system developed by the Mcity and the Michigan Mobility Transformation Lab (MTL) of University of Michigan.
It enables next-generation roadside intelligence by tightly integrating with intersection facilities such as:

  • Roadside sensors (cameras, LiDAR, radar)
  • Traffic signal controllers and cabinets
  • V2X roadside units (RSUs)
  • Edge compute boxes and cloud services

MSight comes with state-of-the-art roadside perception, sensor fusion, trajectory prediction and nearmiss detection algorithms, providing a unified platform for perception, communication, and prediction across diverse roadside environments.

MSight illustration


βš™οΈ What Can MSight Do?

The MSight System is a general-purpose, modular edge–cloud framework designed to be highly customizable and support a wide range of roadside and cooperative-perception applications connecting roadside and vehicle systems.
It can, in theory, power any infrastructure-based intelligent transportation application.
Some representative use cases include:

  • πŸ›°οΈ Roadside Sensor Data Streaming
    Stream multi-modal sensor data (video, LiDAR, radar, etc.) in real time with low latency to interested edge or cloud services.

  • πŸš— Roadside Object Detection
    Perform on-device or edge-based detection of vehicles, pedestrians, and other road users.

  • 🀝 Cooperative Perception (CP)
    Fuse and share detection results via RSU using standardized formats such as SAE J3224 SDSM, extending vehicle awareness beyond line of sight.

  • ⚠️ Near-Miss and Crash Detection
    Continuously monitor and analyze interactions between road users to identify near-miss or crash-prone events in real time.

  • 🧠 Proactive Safety and Hazard Prediction
    Predict hazardous situations (e.g., potential collisions) in advance and send timely warnings to vehicles through V2X communication to prevent accidents.

  • 🚦 Traffic Signal Violation Detection
    Detect red-light violations by analyzing vehicle trajectories in relation to signal phase and timing data.

  • πŸ” And More…
    Thanks to its modular and extensible design, MSight can host custom analytics, data management, or AI modules for future roadside applications.


πŸ“š Learn More

Explore the documentation using the left navigation panel or top tabs:


Β© University of Michigan β€” Mcity & Michigan Mobility Transformation Lab