Simulation-aided Evaluation of Sensor Placement Options for Autonomous Driving

Level: Master Thesis

The main focus of this thesis is the support of evaluation of sensor placement proposals as they arise in selecting a suitable configuration of one or more camera, lidar or radar sensors, with a focus on a stationary (infrastructure) setting in the context of Connected and Automated Mobility (CAM). A suitable simulation environment (like SVL or CARLA) should be used to generate sample data for different sensor configurations that allow for a reasonable evaluation of its effectiveness.

The overall goal is to find well suited positions (and orientation) for a sensor such as a camera, lidar or radar, based on the physical layout of its environment and the sensor’s characteristics, such as FoV or resolution.

Main Research Focus

  • Literature research on similar work and related performance metric
  • Selection or development of suitable metrics for fitness evaluation of individual sensor placement proposals
  • Application and evaluation of those metrics in a sample scenario

Prerequisites

  • Basic programming skills (for manipulating simulation scenarios and possibly extending sensor implementation)
  • Experience with simulations in general beneficial
  • Any background in computer vision, with specific sensor data (lidar, radar, cameras) or their mathematical models would be helpful

References

Curious? Get in touch.

We are looking forward to receiving your application. Please include your current transcript of records and Curriculum vitae in tabular form; all documents in PDF format.