CHI@Edge | Education
  • CHI@Edge Education
    • Module I - Autonomous Vehicles
      • FOR EDUCATORS
      • Self-Learners
      • Pathways
        • TA Guide
        • Regular Pathway
          • Background Information
            • Software for the Project
            • Edge Devices
            • Machine Learning
            • Chi@Edge
          • Buying or Building Your Own Car
          • Adding Pi and Leasing Chameleon Node
            • Reserving your Pi on CHI@Edge
          • Car Assembly
          • Car Calibration
          • Collecting Data
          • Cleaning Data
          • Configuring Chameleon Node for Training
          • Syncing Data from Pi to Training Node
          • Training the Model
          • Syncing Model to Car
          • Running the Model
          • (Optional) Using Chameleon Object Store
          • (Optional) Simulator Setup
          • (Optional) Assignment: Extending CHI@Edge Autonomous Cars
            • Possible extensions
            • Evaluation of Different Model Types
        • Classroom Pathway
          • (Optional) Background Information
            • Software for the Project
            • Edge Devices
            • Machine Learning
            • Chi@Edge
          • (TA) Buying or Building Your Own Car
          • (TA) Adding Pi and Leasing Chameleon Node
            • Reserving your Pi on CHI@Edge
          • (TA) Car Assembly
          • (TA) Configuring Chameleon Node for Training
          • (TA) Adding Access from Pi to Training Node
          • Car Calibration
          • Collecting Data
            • Moving Data from Pi to Chameleon Node
          • Cleaning Data
          • Training the Model
          • Syncing Model to Car
          • Running the Model
          • (Optional) Assignment: Extending CHI@Edge Autonomous Cars
            • Possible extensions
        • Digital Pathway
          • Background Information
            • Software for the Project
            • Machine Learning
          • Simulator Setup
          • Collecting Data
          • Cleaning Data
          • Reserve a Bare-Metal Node
          • Configuring Chameleon Node for Training
          • Syncing Data from Local Computer to Training Node (Digital Version)
          • Training the Model
          • Syncing Model to Local Computer
          • Running the Model in Simulator
          • Possible extensions
      • FAQ
      • References
      • Resources
  • README: Pathway Structure
  • Contributing Community Modules
  • How to Provide Feedback
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Last updated 1 year ago

Running the model in the Simulator

  1. In your local ~/mycar directory, run the following command to load the model:

Note: like when you originally ran the simulator, a Unity interface application should also pop up.

  1. Open the Web UI in a web browser by navigating to:

  1. Split screen the Web UI and simulator

  2. Above the camera display of the Web UI, to the left, there is a drop-down that says User, click on it and pick either Full Auto or Auto Steer

    1. Full Auto: gives full control to the AI

    2. Auto Steer: human controls the throttle but the AI controls the steering

Tips for Running the Model

  1. Make sure you are running the model in the same environment you collected data in.

    1. This means more than just running it on the same track. The model will work best if it is also in the same lighting and its surroundings are the same.

python manage.py drive --model <filepath_to_model>
<ip_address_of_edge_device>:8887
PreviousSyncing Model to Local ComputerNextPossible extensions
  1. CHI@Edge Education
  2. Module I - Autonomous Vehicles
  3. Pathways
  4. Digital Pathway

Running the Model in Simulator

The final step in the process where the results of all your data collection and training can be evaluated.