Publication

Lane Detection and Lane Changing Phenomena Identification with Data from a Swarm of Drones

Publications associées (48)

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

This paper describes the second iteration in the development of a simulation tool that provides trade-offs of avionic architectures for future Active Debris Removal (ADR) space missions. Challenges of ADR missions lay in their ability to first detect and t ...

IEEE2021

Over recent years, the manufacturing industry has seen constant growth and change. From one side, it has been affected by the fourth industrial revolution (Industry 4.0). From the other side, it has had to enhance its ability to meet higher customer expect ...

2021

Data management and modelling of composite materials fatigue behavior

In this paper, we will present an update for the previously developed CCFatigue computational tool. This tool has been built around several analysis methods for fatigue life predictions of composite materials and includes modules that allow analysis over c ...

2021

, , ,

Though Switzerland has one of the highest life expectancies in the world, this global indicator may mask significant disparities at a local level. The present study used a spatial cluster detection approach based on individual death records to investigate ...

NATURE PORTFOLIO2021

Geospatial Analysis of Sodium and Potassium Intake: A Swiss Population-Based Study

Stéphane Joost, Idris Guessous, Murielle Bochud, David Nicolas De Ridder

Inadequate sodium and potassium dietary intakes are associated with major, yet preventable, health consequences. Local public health interventions can be facilitated and informed by fine-scale geospatial analyses. In this study, we assess the existence of ...

MDPI2021

Lane Detection and Lane-Changing Identification with High-Resolution Data from a Swarm of Drones

Nikolaos Geroliminis, Emmanouil Barmpounakis

In the era of big data, new transportation-related concepts and methodologies need to be proposed to understand how congestion propagates. pNEUMA, a unique dataset that was acquired during a first-of-its-kind experiment using a swarm of drones over a dense ...

SAGE PUBLICATIONS INC2020

, ,

Existing connectivity-oriented performance measures rank road delineation algorithms inconsistently, which makes it difficult to decide which one is best for a given application. We show that these inconsistencies stem from design flaws that make the metri ...

2020

Shockwave identification and critical parameter estimation using a detailed dataset from a swarm of drones

Nikolaos Geroliminis, Emmanouil Barmpounakis, Nicolas Sébastien Richter

In the era of big data, new transportation-related concepts and methodologies need to be proposed for understanding how congestion propagates. pNEUMA, a unique dataset that was acquired during a first-of-its-kind experiment with a swarm of drones over a de ...

2020

Parallel and Scalable Bioinformatics

Stuart Anthony Byma

The field of genomics is likely to become the largest producer of data as a consequence of the large-scale application of next-generation sequencing technology for biological research and personalized medical treatments. The raw sequence data produced by t ...

EPFL2020

Two-Tier Mapper, an unbiased topology-based clustering method for enhanced global gene expression analysis

Cathrin Brisken, Kathryn Hess Bellwald, Jacques Rougemont

Motivation: Unbiased clustering methods are needed to analyze growing numbers of complex data sets. Currently available clustering methods often depend on parameters that are set by the user, they lack stability, and are not applicable to small data sets. ...

2019