The number of cameras installed in a car is typically influenced by the Autonomous Driving (AD) concept adopted by the vehicle manufacturer. The quantity of cameras is heavily dependent on the desired AD level to be attained. As the AD level increases, a greater number of cameras are typically required.

Vehicle manufacturers (OEMs) as well as automotive suppliers (Tier 1s) are challenged to validate, test and produce all the camera systems that will be deployed in the new generation of vehicles. Since the camera systems are very complex, the test systems are often highly customized.

Changes and test requirements during the V&V (Validation and Verification) stage often occur, so the test systems (upgrades or downgrades) must be modular.

ADAS Camera testing solution conducts:

  • Target Monitor
  • MTF Test System applications
  • Sensor Fusion: integration with Radar and Lidar
  • HIL System integration, HIL testing of camera-based systems
  • EOL solution (Cars)
  • Camera in the loop simulations
  • Complex setups with stereo or multiple cameras
  • Pixel errors, Configuration tools such as; ROI adjustments, Exposure control, Monochrome sensor, Failure insertion etc.

Typical applications include:

  • Lane departure warning
  • Lane keeping assist
  • Traffic sign recognition

Camera Testing

Validates the performance of cameras for lane departure warning, traffic sign recognition, and object detection.