Publications associées à Géomatique

STATNet: Spatial-temporal attention in the traffic prediction

Alexandre Massoud Alahi, Seyed Mohamad Moghadas, Amin Gheibi

Recent traffic flow prediction methods are lacking abilities to determine predictive features. Thus, they will propagate the error in the next timestamps. In this paper, first, we assess the role of spatial and temporal features on the traffic speed predic ...

2022

Mapping quality prediction for RTK/PPK-equipped micro-drones operating in complex natural environment

Jan Skaloud, Davide Antonio Cucci, Laurent Valentin Jospin, Emmanuel Pierre Quentin Clédat

Drone mapping with GNSS-assisted photogrammetry is a highly efficient method for surveying small -or medium- sized areas. However, the mapping quality is not intuitively predictable, particularly in complex environments (with steep and cluttered terrain), ...

2020

Geospatial digital monitoring of COVID-19 cases at high spatiotemporal resolution

Stéphane Joost, Idris Guessous, David Nicolas De Ridder

SARS-CoV-2 spreads via close contact during daily activities, forming clusters of cases mainly in households and workplaces. A crucial challenge to contain the spread lies in the early detection of these outbreak clusters, and the localisation and isolatio ...

2020

On the adjustment, calibration and orientation of drone photogrammetry and laser-scanning

Emmanuel Pierre Quentin Clédat

Centimetre level precision mapping is essential for many applications such as land-use, infrastructure inspection, cultural heritage preservation, and construction site monitoring. However, the acquisition and its preparation (in particular the setting of ...

EPFL2020

Detecting overlapping spatial clusters of high sugar-sweetened beverage intake and high body mass index in a general population: a cross-sectional study

Stéphane Joost, Idris Guessous, David Nicolas De Ridder, Beatrice Bacchilega

Background: Evidence suggests that sugar-sweetened beverage (SSB) intake frequency is positively associated with the risk of obesity and diabetes. We aimed to identify populations and areas in high need for interventions to reduce SSB consumption using a f ...

2018

CAR-Net: Clairvoyant Attentive Recurrent Network

Alexandre Massoud Alahi

We present an interpretable framework for path prediction that leverages dependencies between agents' behaviors and their spatial navigation environment. We exploit two sources of information: the past motion trajectory of the agent of interest and a wide ...

2018

Audemars Piguet - Electrochromic Glazing Study

Marilyne Andersen, Forrest Simon Webler, Victoria Eugenia Soto Magán

The purpose of this report is to detail the findings of a long-term evaluation study on the impact of installing electrochromic glazing in two different buildings owned by Audemars Piguet. The two locations under investigation are the APRP ateliers in Le L ...

2018

Mapping GNSS Restricted Environment with a Drone Tandem and Indirect Position Control

Davide Antonio Cucci, Emmanuel Pierre Quentin Clédat

The problem of autonomously mapping highly cluttered environments, such as urban and natural canyons, is intractable with the current UAV technology. The reason lies in the absence or unreliability of GNSS signals due to partial sky occlusion or multi-path ...

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

Kinetics, Mechanics and Micro-structure of Bio-cemented Soils

Dimitrios Terzis

The quest for novel, performant materials and methods in the engineering practice is driven nowadays by the need to offer solutions to complex problems by coupling technical innovation with environmental responsibility. Such problems emerge in the geo-tech ...

EPFL2017