Skip to main content

Case Study – Automotive Test Track Digital Twin & Fleet Validation

Automotive

How it works: From first sensor to fleet deployment - one platform to connect, simulate and control. Connect with WiseOS, control via MCP ROS2, validate in Digital Twins.

Summary

An automotive team needed a flexible, vendor-neutral infrastructure to connect test vehicles, trackside sensors and supporting robotics, and to validate policies before spending track time.

WiseVision provided:

  • WiseOS as a ROS 2-based operational layer for telemetry and orchestration
  • MCP ROS2 for integrating operator tooling and AI-assisted workflows
  • A high-fidelity Digital Twin environment for scenario replay and sim-before-test validation

Stack Used

  • WiseOS
  • MCP ROS2
  • Digital Twins (O3DE / Isaac Sim / Genesis)
  • ROS 2
  • InfluxDB (Data Black Box)

Key Benefits

  • Vendor-neutral test infrastructure
  • More productive track time via scenario replay
  • Safer automation via sim-before-test
  • Full auditability and operator control

Challenges

Mixed vehicle platforms, sensor stacks and vendor tooling

Limited access to track time and the need to replay scenarios reliably

Need for auditability and control over what automation and AI agents can do

Desire to validate policies and workflows safely before real tests

Solution

1. WiseOS – Unified Test Track Fabric

WiseOS connected:

  • Trackside sensors (cameras, GNSS/RTK, weather, V2X, etc.) into ROS 2
  • Test vehicles and support platforms via ROS 2 nodes or bridges
  • Telemetry and events into Data Black Box (InfluxDB)
  • Status and timelines from all assets in one place

2. MCP ROS2 – Operator & AI Tools

MCP ROS2 exposed tools with role-based controls:

  • List vehicles, sensors and test assets
  • Start / stop test runs and collect artifacts
  • Query recent events and telemetry windows
  • Human-in-the-loop approvals for restricted actions
  • All actions logged for review

3. Digital Twin – Scenario Replay & Validation

A Digital Twin of the track and operating zones with O3DE / Isaac Sim / Genesis:

  • 3D representation of roads, intersections and infrastructure
  • Simulated vehicles, robots and sensor coverage
  • Same interfaces as real operations
  • Scenario replay and policy testing before real tests

Architecture Overview

  1. Vehicles and sensors → ROS 2 → WiseOS connectivity & telemetry
  2. WiseOS → InfluxDB → event logs and analysis
  3. MCP ROS2 → operator tools and AI-assisted workflows
  4. Digital Twin → scenario replay, testing and visual context

Digital Twin Use Cases

🎓 Test & Operator Training

Train procedures and tooling workflows without consuming track time

🧪 Scenario Replay

Replay logged events and validate changes against consistent baselines

🤖 ADAS / Autonomy Validation

Test policies safely before running expensive real-world tests

Outcomes

This pattern typically provides:

✅ Vendor Independence

  • A neutral infrastructure layer independent of specific vendors
  • Freedom to iterate across vehicle and sensor stacks

✅ More Productive Testing

  • Scenario replay to reduce repeated manual investigations
  • Clear traceability from event → decision → action

✅ Safer Automation

  • Sim-before-test workflows for policies and automation
  • Risk-free experimentation in the Digital Twin

✅ Full Auditability

  • Complete logging of all actions and automation decisions
  • Role-based access controls

Next Steps

The same architecture can be extended to multiple tracks, larger fleets, or integrated with test management and reporting tools

Note: Automotive programs are typically evaluated individually with appropriate safety controls and NDAs.