Remote Laboratory

Remote experimentation environment for autonomous driving

The remote laboratory extends the accessibility of OSCAR. It consists of the following components:

  • OSCAR platform,
  • track,
  • monitoring system,
  • server,
  • remote clients.

The track in the remote laboratory is constructed to resemble a real road. We are using dark floor with yellow lanes to enable testing lane detection-based driving. Various sites are placed along the driveway to provide landmarks for localization with both LIDAR and an on-board camera. They include buildings of different sizes with different surface patterns, traffic cones, traffic barriers and traffic signs, all appropriately scaled for the OSCAR scaled platform.

A monitoring system is needed to mimic a Global Positioning System (GPS). Wide-angle cameras are installed above and alongside the track to monitor car’s movement.

The remote laboratory is integrated into the OSCAR IDE. Remote clients can select a set of sensor inputs to use for their computations to generate an output of motion control commands. Users can collect real-time sensor data from the OSCAR platform while monitoring a video stream from cameras installed in the laboratory.

Reserve at here : Resevation

For developers : Github