Refine
Document Type
Language
- English (2)
Has Fulltext
- yes (2)
Is part of the Bibliography
- no (2)
Keywords
FPGA hardware design for plenoptic 3D image processing algorithm targeting a mobile application
(2021)
Over the past years, widespread use of applications based on 3D image processing has increased rapidly. It is being employed in various fields, such as research, medicine and automation. Plenoptic camera system is used to capture light-field that can be exploited to estimate the 3D depth of the scene. The respective algorithms consist of a large number of computation-intensive instructions. It eventually leads to the problem of large execution time of the algorithm. Moreover, they require substantial amount of memory cells for the storage of intermediate and final results. Desktop GPU based solutions are power intensive and therefore cannot be used in the mobile applications with low energy requirements. The idea presented in this paper is to use the FPGA based hardware design to improve the performance of a 3D depth estimation algorithm by utilizing the advantage of concurrent execution. The algorithm is implemented, evaluated and the results show that FPGA design reduces the respective execution time significantly.
Cyber-physical production systems (CPPS) are formed by a flexible and heterogeneous system architecture. Therefore, a comprehensive automation software design requires methods for creating and managing automation software variants. In scope of CPPS, existing approaches do not consider the design of variants combined with software structuring principles. In addition, information from Asset Administration Shells (AAS) is not used sufficiently. Therefore, we propose a novel approach for a comprehensive design of automation software variants based on a domain-specific language (DSL). Thereby, software structuring is provided by the use of several layers with different levels of abstraction. Automation software variants are defined on the mentioned abstraction layers using specific language elements. In order to determine appropriate variants of control programs for particular automation systems, information from AAS is used. Finally, the advantages of the proposed approach are demonstrated in the field of process engineering.
