Publications associées à Science, technology and the future of small autonomous drones

Gas Sensing with Rotary-Wing Nano Aerial Vehicles

Harmful chemical compounds are released daily in warehouses, chemical plants and during environmental emergencies. Their uncontrolled dispersion contributes to the pollution of the atmosphere and threatens human and animal lives. When gas leaks occur, the ...

EPFL2024

Vision-based Flocking in Aerial Robot Swarms

Fabian Maximilian Schilling

Aerial robot swarms have the potential to perform time-critical and dangerous tasks such as disaster response without compromising human safety. However, their reliance on external infrastructure such as global positioning for localization and wireless net ...

EPFL2022

Practical issues with modeling extreme Brazilian rainfall

Anthony Christopher Davison, Isolde Santos Previdelli, Paulo Vitor Da Costa Pereira

Accurately quantifying extreme rainfall is important for the design of hydraulic structures, for flood mapping and zoning and for disaster management. In order to produce maps of estimates of 25-year rainfall return levels in Brazil, we selected 893 shorte ...

BRAZILIAN STATISTICAL ASSOCIATION2021

The challenges of impact evaluation: Attempting to measure the effectiveness of community-based disaster risk management

Anthony Christopher Davison, Silvia Hostettler, Alfredo Rafael Kägi Trejo, Nicola Mary Banwell

Although disaster risk management is becoming increasingly important in development cooperation, there is still a lack of robust evidence regarding its effectiveness. Few studies based on a counterfactual have been conducted in the fields of disaster manag ...

2020

UWB-based system for UAV Localization in GNSS-Denied Environments: Characterization and Dataset

Dario Floreano, Fabrizio Schiano

Small unmanned aerial vehicles (UAV) have penetrated multiple domains over the past years. In GNSS-denied or indoor environments, aerial robots require a robust and stable localization system, often with external feedback, in order to fly safely. Motion ca ...

2020

Flexible Disaster Response of Tomorrow: Final Presentation and Evaluation of the CENTAURO System

Xi Chen, Fabian Maximilian Schilling

Mobile manipulation robots have great potential for roles in support of rescuers on disaster-response missions. Robots can operate in places too dangerous for humans and therefore can assist in accomplishing hazardous tasks while their human operators work ...

2019

UAV-Based Situational Awareness System Using Deep Learning

Wenlong Deng

Situational awareness by Unmanned Aerial Vehicles (UAVs) is important for many applications such as surveillance, search and rescue, and disaster response. In those applications, detecting and locating people and recognizing their actions in near real-time ...

2019

The current state and future outlook of rescue robotics

Dario Floreano, Roland Siegwart, Auke Ijspeert, Davide Scaramuzza, Stefano Mintchev, Tomislav Horvat, Kamilo Andres Melo Becerra, Marco Hutter

Robotic technologies, whether they are remotely operated vehicles, autonomous agents, assistive devices, or novel control interfaces, offer many promising capabilities for deployment in real‐world environments. Postdisaster scenarios are a particularly rel ...

2019

Community-based landslide risk reduction: a review of a Red Cross soil bioengineering for resilience program in Honduras

Silvia Hostettler, Antonio D'Acunzi

Effective long-term participation of communities in disaster risk reduction measures in landslide-prone areas continues to be a challenge. This study aims to evaluate the extent to which community-based soil-bioengineering techniques allow for effective mi ...

2019

Essays on adaptation to rare disasters

Takafumi Usui

This thesis aims to further investigate rare natural disasters and studies adaptation decisions under uncertainty by solving several computational economic models. The modeling of rare natural disasters depends on the treatment of catastrophic outcomes wit ...

EPFL2019

Nonmodel-based framework for rapid seismic risk and loss assessment of instrumented steel buildings

Dimitrios Lignos, Seong-Hoon Hwang

This paper proposes a nonmodel-based framework for estimating story-based engineering demand parameters (EDPs) in instrumented steel frame buildings with steel moment-resisting frames (MRFs). The proposed framework utilizes a wavelet-based damage-sensitive ...

Elsevier2018

EaRL: Toolbox for Earthquake Risk and Loss Assessment of Building Assets

Dimitrios Lignos, Ahmed Mohamed Ahmed Elkady, Seong-Hoon Hwang

Infrastructure (asset) risk management is essential for a resilient environment. Several industries are concerned to improve their building asset preparedness subject to seismic hazard. To this end, the development of software tools that quantify and asses ...

2018

Recent advances in the metallurgy of aluminium alloys. Part I: Solidification and casting

Michel Rappaz

The goal of these review papers is to summarize the recent advances in the metallurgy of aluminium alloys and from this analysis, to try to outline future developments in this field. Part I deals with the transformation of aluminium alloys from the liquid ...

ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER2018

Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

Alexandre Massoud Alahi, Agrim Gupta

Understanding human motion behavior is critical for autonomous moving platforms (like self-driving cars and social robots) if they are to navigate human-centric environments. This is challenging because human motion is inherently multimodal: given a histor ...

2018

Integration of Wearable Sensors Into the Evaluation of Running Economy and Foot Mechanics in Elite Runners

Benoît Mariani, Mathieu Pascal Falbriard

Running economy, known as the steady-state oxygen consumption at a given submaximal intensity, has been proposed as one of the key factors differentiating East African runners from other running communities around the world. Kenyan runners have dominated m ...

LIPPINCOTT WILLIAMS & WILKINS2018

Preface: Special Section on Energy and Food Security in a Humanitarian Context

Silvia Hostettler

Natural disasters, population growth, social conflicts, and political or structural crises give rise to forced migrations, which can lead to humanitarian emergencies. According to the “UNHCR annual global trends report”, 65.6 million people were displaced ...

2017

Aerial Human-Comfortable Collision-free Navigation in Dense Environments

Nicolas Dousse

With current overuse of the road transportation system and planned increase in traffic, inno- vative solutions that overcome environmental and financial cost of the current system should be assessed. A promising idea is the use of the third dimension for p ...

EPFL2017

Cooperative Perception Algorithms for Networked Intelligent Vehicles

Milos Vasic

The degree of intelligence built-in in today's vehicles in constantly on the rise. The vehicles are being equipped with sensors, with the goal to estimate the state of the vehicle and the environment surrounding it. Intelligent algorithms that process the ...

EPFL2017

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

Bio-inspired balance controller for a humanoid robot

Auke Ijspeert, Renaud Ronsse, Nicolas Benoît Dominique Van der Noot, François André Heremans

Humanoid robots are gaining much interest nowadays. This is partly motivated by the ability of such robots to replace humans in dangerous environments being specifically designed for humans, such as man-made or natural disaster scenarios. However, existing ...

Ieee2016