How to Choose the Best Embedded Processing Platform for on-Board UAV Image Processing ?
| Autor: | Dries Hulens, Toon Goedemé, Jon Verbeke |
|---|---|
| Přispěvatelé: | Braz, José, Battiato, Sebastiano, Imai, Francisco H |
| Rok vydání: | 2015 |
| Předmět: |
Vision
business.industry Computer science UAV Real-time computing Embedded processing Image processing PSI_VISICS Flight time Real-Time Variety (cybernetics) On board Power consumption Embedded system Range (aeronautics) Digital image processing Speed Estimation Power Estimation Flight Time Estimation On-Board business |
| Zdroj: | VISAPP (3) Scopus-Elsevier |
| DOI: | 10.5220/0005359403770386 |
| Popis: | For a variety of tasks, complex image processing algorithms are a necessity to make UAVs more autonomous. Often, the processing of images of the on-board camera is performed on a ground station, which severely limits the operating range of the UAV. Often, offline processing is used since it is difficult to find a suitable hardware platform to run a specific vision algorithm on-board the UAV. First of all, it is very hard to find a good trade-off between speed, power consumption and weight of a specific hardware platform and secondly, due to the variety of hardware platforms, it is difficult to find a suitable hardware platform and to estimate the speed the user’s algorithm will run on that hardware platform. In this paper we tackle those problems by presenting a framework that automatically determines the most-suited hardware platform for each arbitrary complex vision algorithm. Additionally, our framework estimates the speed, power consumption and flight time of this algorithm for a variety of hardware platforms on a specific UAV. We demonstrate this methodology on two real-life cases and give an overview of the present top processing CPU-based platforms for on-board UAV image processing. Hulens D., Goedemé T., Verbeke J., ''How to choose the best embedded processing platform for on-board UAV image processing ?'', Proceedings 10th international conference on computer vision theory and applications - VISAPP 2015, 10 pp., March 11-14, 2015, Berlin, Germany. ispartof: pages:377-386 ispartof: Proceedings VISAPP 2015 vol:3 pages:377-386 ispartof: International conference on computer vision theory and applications - VISAPP 2015 location:Berlin, Germany date:11 Mar - 14 Mar 2015 status: published |
| Databáze: | OpenAIRE |
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