Publications de Sohyeong Kim | EPFL Graph Search

Drone-Based Urban Traffic Monitoring and User Behavior Prediction

As urban populations continue to expand and vehicle density increases, the need for effective traffic monitoring and management becomes increasingly critical. Urban areas face significant challenges such as growing congestion, safety concerns, and parking ...

EPFL2025

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

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

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

Nikolaos Geroliminis, Emmanouil Barmpounakis, Sohyeong Kim

2022

Urban parking lot occupancy monitoring with drone flights

Nikolaos Geroliminis, Emmanouil Barmpounakis, Sohyeong Kim, Yura Tak

2022

Graph-Based Detection of Seams In 360-Degree Images

Pascal Frossard, Francesca De Simone, Sohyeong Kim, Roberto Gerson De Albuquerque Azevedo

In this paper, we propose an algorithm to detect a specific kind of distortions, referred to as seams, which commonly occur when a 360-degree image is represented in planar domain by projecting the sphere to a polyhedron, e.g, via the Cube Map (CM) project ...

2019