CANape Advanced Multimedia Option Object Verification for Driver Assistance Systems and Optimization of Image Processing Algorithms Functions The GFX Editor offers the convenience of associating detected sensor data (vehicles, road markings, traffic signs, etc.) with graphic elements (polygons for driving lane detection and rectan-gles 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 envi-ronment for vehicle identification), which are displayed as overlays in the video window. A “Bird View” is also provided. This is a user-scalable representation that shows objects from a side view or for optimizing image processing algorithms. bird’s eye perspective. In addition, image processing algorithms can be linked in the form of DLLs in CANape. Video inputs and outputs are gated via CANape. The results of the algorithm are visualized in CANape. This lets you optimize algorithm parameters like with an ECU in online operation. Features and Advantages CANape Option Advanced Multimedia displays objects acquired by the sensors of a driver assistance system in a video image record-ed synchronous to the measurement. Based on object data com-puted by the ECU, geometric symbols or bitmaps are superim-posed on the video image at specified points on the image. Verify 2/16 Application Areas The flexible configuration capabilities of the Advanced Multime-dia 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. Option cover a wide range of application areas in the develop-ment 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 Evaluation of objective sensor data and subjective impressions during in-vehicle tests: Display of objects from bird’s eye view and superimposed on the video image of the Multimedia Window