Zitat
D. Schuldt, J. Thiem, and S. Mustedanagic, “Stereo vision on an ARM/DSP multicore platform based on code generation using the MATLAB embedded coder,” in Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics, 2016, pp. 558–562.
Abstract
Vision based techniques are by now well established means for contactless measuring applications, e.g. in industrial automation, optical inspection, medical imaging or robot navigation. However, the development and implementation of these applications on small-sized embedded systems is still challenging, because image processing algorithms require quite a lot CPU performance. Therefore, code optimization has to be considered in the development process. In this work we present our results on implementation and benchmarking of stereo disparity algorithms on an ARM/DSP embedded multicore platform. The algorithms are developed with the computer algebra framework MATLAB from Mathworks®, which allows to generate generic and processor-specific C/C++ code automatically. The analysis of the code generation process and the benchmark of the target performance are the main focus of this contribution.
Referenzen
DOI 10.5220/0005699405580562
Scopus ID 2-s2.0-85013083027