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Case Study BMW:
Reliable Verification of Object Recognition Algorithms of Driver Assistance Systems
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CANape 10.0 - Option Advanced Multimedia
Object Verification for Driver Assistance Systems and Optimization of Image Processing Algorithms
CANape already gives you the ability to time-synchronously log and display video/audio signals together with ECU parameters, CAN/LIN/FlexRay/MOST bus messages and analog/digital signals as well as GPS signals. Option Advanced Multimedia extends the CANape measurement, calibration and diagnostic tool by adding a verification solution for driver assistance systems and a test environment for optimizing image processing algorithms.
Features and Advantages
CANape Option Advanced Multimedia displays objects acquired by the sensors of a driver assistance system in a video image recorded synchronous to the measurement. Based on object data computed by the ECU, geometric symbols or bitmaps are superimposed on the video image at specified points on the image. Verify the ECU’s object recognition algorithms quickly and reliably by comparing recognized objects to the real environment.
To verify the functionality of image processing algorithms, you can link them by DLL in CANape.
Ease of configuration, high flexibility, and user-friendly control are qualities of the Advanced Multimedia Option.
Application Areas
The flexible configuration capabilities of the Advanced Multimedia Option cover a wide range of application areas in the development of driver assistance systems. They can be used to:
- Check object recognition algorithms for ACC (Adaptive Cruise Control), "stop and go" systems, and parking assistance systems with the help of object overlaying
- Develop lane keeping systems or adaptive lighting for curves and display driving lanes as curves
- Provide useful testing support of traffic sign recognition systems with linking of bitmaps
- Development and optimization of image processing algorithms
