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PlaceNet: A multi-scale semantic-aware model for visual loop closure detection

Publications associées (39)

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Weather Impacts on Indoor Radon Short-Term Measurements in Switzerland

Joan Rey

Radon is a natural and radioactively well-known carcinogenic indoor air pollutant. Since 2020, a radon short-term proactive methodology has been proposed by Swiss authorities, which aims to evaluate the probability of overpassing the national reference val ...

MDPI2023

Our experimental study built on a tradition of quantitative urbanism, updating it to reflect recent developments in computer vision. We used cameras to track an area of Avenue Piccard in its current state, then intervened with temporary furniture such as o ...

2023

Calibration of ground surface albedo models

Christophe Ballif, Pierre-Jean Alet, Arttu Matias Tuomiranta

The emergence of bifacial photovoltaics as a serious option for large-scale power generation makes the accuracy of the in-situ estimation of ground surface albedo increasingly critical. Recent studies have evaluated the performance of different models but ...

PERGAMON-ELSEVIER SCIENCE LTD2022

The Role of Occupants in Buildings’ Energy Performance Gap: Myth or Reality?

Dolaana Khovalyg, Matteo Favero, Verena Marie Barthelmes

Buildings’ expected (projected, simulated) energy use frequently does not match actual observations. This is commonly referred to as the energy performance gap. As such, many factors can contribute to the disagreement between expectations and observations ...

2021

VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments

Dario Floreano, Valentin Wüest, Fabian Maximilian Schilling, Koji Minoda

Dynamic environments such as urban areas are still challenging for popular visual-inertial odometry (VIO) algorithms. Existing datasets typically fail to capture the dynamic nature of these environments, therefore making it difficult to quantitatively eval ...

2021

Event cameras are novel sensors that report brightness changes in the form of asynchronous “events” instead of intensity frames. They have significant advantages over conventional cameras: high temporal resolution, high dynamic range, and no motion blur. S ...

2019

Real-time Visual-Inertial Odometry for Event Cameras using Keyframe-based Nonlinear Optimization

Davide Scaramuzza

Event cameras are bio-inspired vision sensors that output pixel-level brightness changes instead of standard intensity frames. They offer significant advantages over standard cameras, namely a very high dynamic range, no motion blur, and a latency in the o ...

2017

Human-Comfortable Collision Free Navigation for Personal Aerial Vehicles

Dario Floreano, Felix Stephan Schill, Grégoire Hilaire Marie Heitz, Nicolas Dousse

Semi- or fully-autonomous Personal Aerial Vehicles (PAVs) are currently studied and developed by public and private organizations as a solution for traffic congestion. While optimal collision-free navigation algorithms have been proposed for autonomous rob ...

Ieee-Inst Electrical Electronics Engineers Inc2017

A General Framework for Sensor Placement in Source Localization

Patrick Thiran, Laura Elisa Celis, Brunella Marta Spinelli

When an epidemic spreads in a given network of individuals or communities, can we detect its source using only the information provided by a small set of nodes? We propose a general framework that incorporates two dimensions. First, we can either rely excl ...

2017

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Thermal building simulation currently uses Typical Meteorological Year (TMY) data to guide the design decision-making process or for compliance with energy standards. TMY data usually excludes extremes and in many cases are gathered from microclimatic cont ...

2016