Publications associées à Cross-Modal Learning of Housing Quality in Amsterdam

swissALPS: a Dataset for Imbalanced Land Cover Mapping in Alpine Regions

Our dataset consists of very high-resolution aerial images (50cm) and a digital elevation model (50cm) that covers approx. 2300 km2 of land above 2000m altitude in the southwestern part of Switzerland. Our land cover labels focus on alpine land cover that ...

IEEE DataPort2023

Stay close, but not too close: aerial image analysis reveals patterns of social distancing in seal colonies

Devis Tuia, Benjamin Alexander Kellenberger

Many species aggregate in dense colonies. Species-specific spatial patterns provide clues about how colonies are shaped by various (a)biotic factors, including predation, temperature regulation or disease transmission. Using aerial imagery, we examined the ...

2023

Time Series Analysis of Urban Liveability

Devis Tuia, Diego Marcos Gonzalez, Alex Hubertus Levering

In this paper we explore deep learning models to monitor longitudinal liveability changes in Dutch cities at the neighbourhood level. Our liveability reference data is defined by a country-wise yearly survey based on a set of indicators combined into a liv ...

IEEE2023

Multi-task prompt-RSVQA to explicitly count objects on aerial images

Devis Tuia, Christel Marie Tartini-Chappuis, Nicola Antonio Santacroce, Sylvain Lobry, Javiera Francisca Castillo Navarro

Introduced to enable a wider use of Earth Observation images using natural language, Remote Sensing Visual Question Answering (RSVQA) remains a challenging task, in particular for questions related to counting. To address this specific challenge, we propos ...

2023

Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images

Devis Tuia, Rui Gong, Benjamin Alexander Kellenberger, Xiaochen Zheng

Automated animal censuses with aerial imagery are a vital ingredient towards wildlife conservation. Recent models are generally based on deep learning and thus require vast amounts of training data. Due to their scarcity and minuscule size, annotating anim ...

IEEE2021

Liveability from Above: Understanding Quality of Life with Overhead Imagery and Deep Neural Networks

Devis Tuia, Alex Hubertus Levering

Urban planners are increasingly interested in understanding what makes a neighbourhood pleasant and liveable. In this paper, we use the overhead perspective as a new way to describe and understand liveability of city neighborhoods. We predict building qual ...

IEEE2021

The Foldable Drone: A Morphing Quadrotor That Can Squeeze and Fly

Dario Floreano, Davide Scaramuzza, Stefano Mintchev

The recent advances in state estimation, perception, and navigation algorithms have significantly contributed to the ubiquitous use of quadrotors for inspection, mapping, and aerial imaging. To further increase the versatility of quadrotors, recent works i ...

2019

Deep learning in the built environment: automatic detection of rooftop solar panels using Convolutional Neural Networks

Jean-Louis Scartezzini, Adrian Guerra, Martin Esguerra, Roberto Castello

Mapping the location and size of solar installations in urban areas can be a valuable input for policymakers and for investing in distributed energy infrastructures. Machine Learning techniques, combined with satellite and aerial imagery, allow to overcome ...

IOP Science2019

Lake Imaging and Monitoring Aerial Drone

David Andrew Barry, Karl Johannes Kangur, Ludovic Zulliger, Nawaaz Sidharth Gujja Shaik, Jean-Luc Liardon, Lukas Oliver Hostettler

We describe the development of a BVLOS (Beyond Visual Line-Of-Sight) model aircraft (UAV). The broad design requirements included (i) fuselage capable of accommodating an imaging package or other instrumentation, (ii) suitability for over-lake BVLOS author ...

2018

Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency

Pascal Fua, Jan Kybic, Raphael Sznitman, Engin Türetken, Przemyslaw Rafal Glowacki, Miguel Amável Dos Santos Pinheiro, Daniel Lebrecht, Agata Justyna Mosinska

We propose a novel approach to reconstructing curvilinear tree structures evolving over time, such as road networks in 2D aerial images or neural structures in 3D microscopy stacks acquired in vivo. To enforce temporal consistency, we simultaneously proces ...

2017

Bundle adjustment with raw inertial observations

Jan Skaloud, Davide Antonio Cucci, Martin Rehak

t is well known that accurate aerial position and attitude control is beneficial for image orientation in airborne photogrammetry. The aerial control is traditionally obtained by Kalman filtering/smoothing inertial and GNSS observations prior to the bundle ...

2017

Vision-based detection of aircrafts and UAVs

Artem Rozantsev

Unmanned Aerial Vehicles are becoming increasingly popular for a broad variety of tasks ranging from aerial imagery to objects delivery. With the expansion of the areas, where drones can be efficiently used, the collision risk with other flying objects inc ...

EPFL2017

Learning Aerial Image Segmentation from Online Maps

Thomas Hofmann, Aurélien Lucchi, Martin Jaggi, Jan Dirk Wegner

This study deals with semantic segmentation of high-resolution (aerial) images where a semantic class label is assigned to each pixel via supervised classification as a basis for automatic map generation. Recently, deep convolutional neural networks (CNNs) ...

Institute of Electrical and Electronics Engineers2017

Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response

Stéphane Joost, Devis Tuia, Patrick Meier, Matthew Josef Parkan, Julien Briant, Muhammad Imran, Carlos Castillo

Aerial imagery captured via unmanned aerial vehicles (UAVs) is playing an increasingly important role in disaster response. Unlike satellite imagery, aerial imagery can be captured and processed within hours rather than days. In addition, the spatial resol ...

Mary Ann Liebert, Inc2016

Applicability Of New Approaches Of Sensor Orientation To Micro Aerial Vehicles

Jan Skaloud, Martin Rehak

This study highlights the benefits of precise aerial position and attitude control in the context of mapping with Micro Aerial Vehicles (MAVs). Accurate mapping with MAVs is gaining importance in applications such as corridor mapping, road and pipeline ins ...

Copernicus Gesellschaft Mbh2016

Multiscale Centerline Detection

Pascal Fua, Vincent Lepetit, Engin Türetken, Amos Sironi

Finding the centerline and estimating the radius of linear structures is a critical first step in many applications, ranging from road delineation in 2D aerial images to modeling blood vessels, lung bronchi, and dendritic arbors in 3D biomedical image stac ...

Institute of Electrical and Electronics Engineers2016

Coherence management in lithography printing systems

Hans Peter Herzig, Toralf Scharf, Johana Bernasconi

In proximity lithography, interference and diffraction effects arise when printing small features because of the proximity gap. Different techniques are used in order to control and take advantage of theses effects. In this paper, the focus is set on the M ...

Spie-Int Soc Optical Engineering2016

Mapping with MAV: Experimental Study on the Contribution of Absolute and Relative Aerial Position Control

Jan Skaloud, Martin Rehak

This study highlights the benefit of precise aerial position control in the context of mapping using frame-based imagery taken by small UAVs. We execute several flights with a custom Micro Aerial Vehicle (MAV) octocopter over a small calibration field equi ...

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences2014

A Contextual Analysis of Land-Use and Vegetation Changes in Two Wooded Pastures in the Swiss Jura Mountains

Joël Chételat, Michaël Kalbermatten, Alexandre Buttler, François Gillet, Thomas Spiegelberger, Kathryn Lannas, Alexander Ludwig Johannes Peringer

This study examines the effects of land-use policies and natural events on the evolution of two wooded pastures in the Jura Mountains in Switzerland between 1934 and 2000. The socioeconomic context and the local conditions were seen as major driving forces ...

Resilience Alliance2013

Biomechanical, morphological and zero-stress state characterization of jugular vein remodeling in arteriovenous fistulas for hemodialysis

Nikolaos Stergiopoulos

While the role of hemodynamic variables on the development of intimal hyperplasia in arteriovenous fistulas for hemodialysis has been examined, less is known about the intramural biomechanical factors. In this study, arteriovenous fistulas were created by ...

2010