Abstract
The work presented in this paper was partially supported by the National Science Centre project no. 2016/23/D/ST6/01389 and Fundação para a Ciência e a Tecnologia under the grant SFRH/BSAB/135037/2017
| Original language | English |
|---|---|
| Number of pages | 2 |
| Publication status | Published - 2018 |
| Event | DASIP 2018 - Conference on Design and Architectures for Signal and Image Processing - Porto, Portugal Duration: 10 Sep 2018 → … |
Conference
| Conference | DASIP 2018 - Conference on Design and Architectures for Signal and Image Processing |
|---|---|
| Country | Portugal |
| City | Porto |
| Period | 10/09/18 → … |
Keywords
- Decision Trees (DT)
- Digital image processing
- FPGA
- GPU
- Machine learning
- Safe landing site detection
- Support Vector Machine (SVM)
- Unmanned Aerial Vehicle (UAV)
- Zynq
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Cite this
Fraczek, P., Mora, A., & Kryjak, T. (2018). Embedded vision system for automated drone landing site detection - a demo. Abstract from DASIP 2018 - Conference on Design and Architectures for Signal and Image Processing, Porto, Portugal.