Embedded vision system for automated drone landing site detection - a demo

Patryk Fraczek; André Mora; Tomasz Kryjak

Embedded vision system for automated drone landing site detection - a demo

Patryk Fraczek, André Mora, Tomasz Kryjak

Research output: Contribution to conference › Abstract

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

@conference{aeae720229b44846a126d5dc4745bdbd,

title = "Embedded vision system for automated drone landing site detection - a demo",

abstract = "The work presented in this paper was partially supported by the National Science Centre project no. 2016/23/D/ST6/01389 and Funda{\c c}{\~a}o para a Ci{\^e}ncia e a Tecnologia under the grant SFRH/BSAB/135037/2017",

keywords = "Decision Trees (DT), Digital image processing, FPGA, GPU, Machine learning, Safe landing site detection, Support Vector Machine (SVM), Unmanned Aerial Vehicle (UAV), Zynq",

author = "Patryk Fraczek and Andr{\'e} Mora and Tomasz Kryjak",

year = "2018",

language = "English",

note = "DASIP 2018 - Conference on Design and Architectures for Signal and Image Processing ; Conference date: 10-09-2018",

}

TY - CONF

T1 - Embedded vision system for automated drone landing site detection - a demo

AU - Fraczek, Patryk

AU - Mora, André

AU - Kryjak, Tomasz

PY - 2018

Y1 - 2018

N2 - 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

AB - 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

KW - Decision Trees (DT)

KW - Digital image processing

KW - FPGA

KW - GPU

KW - Machine learning

KW - Safe landing site detection

KW - Support Vector Machine (SVM)

KW - Unmanned Aerial Vehicle (UAV)

KW - Zynq

M3 - Abstract

T2 - DASIP 2018 - Conference on Design and Architectures for Signal and Image Processing

Y2 - 10 September 2018

ER -