Concept

Digital mapping

Publications associées (23)

MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square

The rapid development of autonomous driving and mobile mapping calls for off-the-shelf LiDAR SLAM solutions that are adaptive to LiDARs of different specifications on various complex scenarios. To this end, we propose MULLS, an efficient, low-drift, and ve ...

IEEE2021

Omnidirectional Strategies for Exploring Ancient Cities and Territories

Sarah Irene Brutton Kenderdine

By focusing on technologies of virtual reality in conjunction with theories of “place” and “presence,” this chapter outlines the importance of new approaches to the museological experience and exploration of ancient cities and cultural heritage sites. Expl ...

Oxford University Press2020

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

Spherical Network Visualizations

Dario Rodighiero

Data visualization is a recent domain that founds his roots in the eighties, but its history dates back to more ancient times in other representations such as diagrams, drawings, or maps. In particular, data visualization is hard to take advantage of the h ...

2019

Probabilistic Terrain Mapping for Mobile Robots With Uncertain Localization

Marco Hutter

Mobile robots build on accurate, real-time mapping with onboard range sensors to achieve autonomous navigation over rough terrain. Existing approaches often rely on absolute localization based on tracking of external geometric or visual features. To circum ...

2018

A Return on Our Experience of Modeling a Service-oriented Organization in a Service Cartography

Alain Wegmann, Gorica Tapandjieva Sekulovska, Giorgio Anastopoulos

We present a longitudinal project using action design research, which is a four-year collaboration between two EPFL entities: The research Laboratory for Systemic Modeling (LAMS) and EPFL’s IT department, called the VPSI. During that time the VPSI was goin ...

Springer2017

Penser (par) la carte

Carole Thérèse Lanoix

What do Marine Drive and Shibuya have in common? Both the long promenade at the southern end of Mumbai, and the gigantic pedestrian crossing in the heart of the Japanese capital, are places where one walks. This thesis discusses places of convergence and o ...

EPFL2017

Geomedicine: opportunities of using spatial information to move toward more precision in public health - spatial approaches and clusters: an introduction for clinicians

Stéphane Joost, Idris Guessous

In this presentation we introduce basic knowledge about the use of located health data to detect clusters of disease prevalence. Most often, geographic maps are produced to represent health data. Medical information is transmitted through thematic chorop ...

2017

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

"On-the-spot Training" for Terrain Classification in Autonomous Air-Ground Collaborative Teams

Davide Scaramuzza, Luca Maria Gambardella

We consider the problem of performing rapid training of a terrain classier in the context of a collaborative robotic search and rescue system. Our system uses a vision-based flying robot to guide a ground robot through unknown terrain to a goal location by ...

2016

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search