publications

2025

1. CNN compression through Tensor decomposition on the Aidge platform.

   Charles Villard, Mohamed-Oumar Ouerfelli, Cyril Moineau, and 1 more author

   In Edge AI Foundation Milan 2025, Jul 2025

   PDF

2024

1. Acquisition using lightweight platforms and data processing for underwater photogrammetry

   Charles Villard

   Jul 2024

   PDF

2023

1. Estimation initiale de la pose avec un échantillonnage aléatoire mais pondéré de paires de triplets redondants d’images

   Charles Villard, Ewelina Rupnik, and Marc Pierrot-Deseilligny

   In ORASIS 2023, May 2023

   PDF

2022

1. Automatically Guided Selection of a Set of Underwater Calibration Images

   Laurent Beaudoin, Loïca Avanthey, Corentin Bunel, and 1 more author

   Journal of Marine Science and Engineering, Jun 2022

   Abs DOI

   The 3D reconstruction of underwater scenes from overlapping images requires modeling the sensor. While underwater self-calibration gives good results when coupled with multi-view algorithms, calibration or pre-calibration with a pattern is still necessary when scenes are weakly textured or if there are not enough points of view of the same points; however, detecting patterns on underwater images or obtaining a good distribution of these patterns on a dataset is not an easy task. Thus, we propose a methodology to guide the acquisition of a relevant underwater calibration dataset. This process is intended to provide feedback in near real-time to the operator to guide the acquisition and stop it when a sufficient number of relevant calibration images have been reached. To perform this, pattern detection must be optimized both in time and success rate. We propose three variations of optimized detection algorithms, each of which takes into account different hardware capabilities. We present the results obtained on a homemade database composed of 60,000 images taken both in pools and at sea.

2020

1. SYNCHRONIZATION OF PICAM CAMERAS FOR THREE-DIMENSIONAL STUDY OF DYNAMIC MULTI-DOMAINS NATURAL SCENES

   L. Avanthey, L. Beaudoin, C. Villard, and 2 more authors

   In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Aug 2020

   Abs DOI

   \textlessp\textgreater\textlessstrong class="journal-contentHeaderColor"\textgreaterAbstract.\textless/strong\textgreater In this article, we study the interest of PiCam and its possibilities offered for the realization of a light payload (small and inexpensive) in order to perform the 3D reconstruction of dynamic scenes (underwater or aerial) in close-range remote sensing. We see that on these observation scales, movements of the scenes due to flora and fauna cannot be ignored if we want these objects to be part of the final model. We review the sensors used in the literature for 3D reconstruction and then present the arguments in favor of PiCam with regard to the constraints posed by the use of light and agile vectors. The main issue is the synchronization of these low cost sensors, which is not native: we explain the different steps to obtain a satisfactory synchronization rate with regard to the dynamism of the studied scenes and present the results obtained.\textless/p\textgreater

2. PORTING ARDUPILOT TO ESP32: TOWARDS A UNIVERSAL OPEN-SOURCE ARCHITECTURE FOR AGILE AND EASILY REPLICABLE MULTI-DOMAINS MAPPING ROBOTS

   L. Beaudoin, L. Avanthey, and C. Villard

   In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Aug 2020

   DOI