Publications by Emmanouil Barmpounakis

Vehicle Trajectory Dataset from Drone-Collected Data at Three Swiss Roundabouts

Nikolaos Geroliminis, Emmanouil Barmpounakis, Jasso Espadaler Clapés

Overview This dataset provides high-resolution, georeferenced vehicle trajectories collected via drone footage at three roundabouts located in the municipalities of Frick and Laufenburg, Canton of Aargau, Switzerland. The data were collected as part of a ...

Zenodo2025

An accurate safety and congestion monitoring framework with a swarm of drones

Nikolaos Geroliminis, Emmanouil Barmpounakis, Jasso Espadaler Clapés

This paper provides a complete framework to illustrate the pioneering application of drones in traffic safety analysis, which includes the design of drone operations, extraction of vehicle trajectories using state-of-the-art computer vision techniques, der ...

Elsevier BV2025

Monitoring Outdoor Parking in Urban Areas With Unmanned Aerial Vehicles

Nikolaos Geroliminis, Emmanouil Barmpounakis, Sohyeong Kim, Yura Tak

Monitoring outdoor urban parking areas has traditionally relied on either costly sensing technology, such as ground sensors, or manual inspections, which are both resource-intensive. The emergence of drones equipped with advanced visual sensors provide a c ...

IEEE Institute of Electrical and Electronics Engineers2024

pNEUMA dataset

Nikolaos Geroliminis, Emmanouil Barmpounakis

pNEUMA is an open large-scale dataset of naturalistic trajectories of half a million vehicles that have been collected by a one-of-a-kind experiment by a swarm of drones in the congested downtown area of Athens, Greece. A unique observatory of traffic cong ...

Zenodo2024

Empirical investigation of lane usage, lane changing and lane choice phenomena in a multimodal urban arterial

Nikolaos Geroliminis, Emmanouil Barmpounakis, Jasso Espadaler Clapés

The combination of multimodal interactions, dynamic congestion and lane changing phenomena in an urban environment can have a strong impact on traffic flow dynamics, active road capacity and road safety. However, while there is a vast understanding of micr ...

PERGAMON-ELSEVIER SCIENCE LTD2023

Visual extensions and anomaly detection in the pNEUMA experiment with a swarm of drones

Nikolaos Geroliminis, Emmanouil Barmpounakis, Sohyeong Kim, Georgios Anagnostopoulos

The usage of Unmanned Aerial Systems (UAS) in traffic monitoring has advantages such as broader vision, flexibility, privacy, and cost-efficiency compared to other traffic monitoring sensors like loop detectors or fixed surveillance cameras. UAS has been i ...

PERGAMON-ELSEVIER SCIENCE LTD2023

Continuous Monitoring of a Signalized Intersection Using Unmanned Aerial Vehicles

Nikolaos Geroliminis, Emmanouil Barmpounakis, Jasso Espadaler Clapés

The use of drones offers an innovative traffic data collection technique that allows to capture very detailed and accurate vehicle trajectories. However, deploying them for an entire day would be prohibitively expensive due to the limitations of their batt ...

IEEE2023

Traffic congestion and noise emissions with detailed vehicle trajectories from UAVs

Nikolaos Geroliminis, Emmanouil Barmpounakis, Jasso Espadaler Clapés

Excessive noise in cities due to road traffic negatively affects human health. We utilize detailed vehicle trajectories collected by a swarm of drones to estimate traffic noise emissions in an urban environment. We use the CNOSSOS model to estimate vehicle ...

Pergamon-Elsevier Science Ltd2023

Treating Noise and Anomalies in Vehicle Trajectories From an Experiment With a Swarm of Drones

Nikolaos Geroliminis, Emmanouil Barmpounakis

Unmanned aerial systems, known as "drones", are relatively new in collecting traffic data. Data from drone videography can have potential applications for traffic research. Drones can record the vehicles from their aerial point-of-view and provide their na ...

IEEE Institute of Electrical and Electronics Engineers2023

A density-based vision algorithm for urban traffic monitoring with drone footage

Nikolaos Geroliminis, Emmanouil Barmpounakis, Sohyeong Kim

2022