Performance of spatial digital image filtering on a real Advanced Driver Assistance System platform

In this paper, the implementation and optimization of different spatial filters on the realistic Advanced Driver Assistance Systems (ADAS) platform is performed. In particular, the moving average, high-pass, median and Gaussian spatial filters are implemented on the ADAS Alpha board. The optimization of the implemented filters is performed in the software and hardware domain on different Alpha board processors to improve the filter's execution times. After optimization, the performance of the implemented filters is measured and compared with the implementation on the personal computer. The given results show comparable execution times of the optimized solution.