Conferences & Symposiums Research

A new paper from ISIA Lab about drone shadow detection at ESANN 2022 conference in Bruges

Published on 17 August 2022
Written by Hugo Bohy
Mohammed El Amine Mokhtari from ISIA Lab is presenting a paper about smiling and laughter detection at ESANN conference. The 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2022) is taking place in Bruges, Belgium from 5/10 to 7/10.

 

Title

Semi-synthetic Data for Automatic Drone Shadow Detection

Authors

Mohammed El Amine Mokhtari, Virginie Vandenbulcke, Sohaib Laraba, Matei Mancas, Elias Ennadifi, Mohamed Lamine Tazir, and Bernard Gosselin

Abstract

In this paper, we deal with the problem of shadow detection of UAVs, which impacts their navigation. We propose to generate synthetic images containing shadows in random locations, backgrounds, sizes, and opacities in order to augment our dataset. The generated data is used to train and compare several models to effectively detect, in real-time, UAVs shadows which will help to stabilize their localization and navigation. Deep learning models such as SSD, YOLOv3, and YOLOv5 are tested for the detection part. With our approach, we achieved 99% of the mean average precision when using the YOLOv5.

 

Link: https://www.esann.org/sites/default/files/proceedings/2022/ES2022-82.pdf

 

ISIA Lab publications: https://opendata.umons.ac.be/en/publications/services/html/f105.html

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