activity
20192026
most citedDistributed nonlinear model predictive control of an autonomous tractor-trailer system

101 citations · 419 across the 30 of their papers we have counts for

collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV2026

Thermal Image Refinement with Depth Estimation using Recurrent Networks for Monocular ORB-SLAM3

Hürkan Şahin, Huy Xuan Pham, Van Huyen Dang +2

Autonomous navigation in GPS-denied and visually degraded environments remains challenging for unmanned aerial vehicles (UAVs). To this end, we investigate the use of a monocular t…

cs.CV2026

Edged USLAM: Edge-Aware Event-Based SLAM with Learning-Based Depth Priors

Şebnem Sarıözkan, Hürkan Şahin, Olaya Álvarez-Tuñón +1

Conventional visual simultaneous localization and mapping (SLAM) algorithms often fail under rapid motion, low illumination, or abrupt lighting transitions due to motion blur and l…

cs.CV2023★ 1 cited

Loss it right: Euclidean and Riemannian Metrics in Learning-based Visual Odometry

Olaya Álvarez-Tuñón, Yury Brodskiy, Erdal Kayacan

This paper overviews different pose representations and metric functions in visual odometry (VO) networks. The performance of VO networks heavily relies on how their architecture e…

cs.CV2021

Context-Dependent Anomaly Detection for Low Altitude Traffic Surveillance

Ilker Bozcan, Erdal Kayacan

The detection of contextual anomalies is a challenging task for surveillance since an observation can be considered anomalous or normal in a specific environmental context. An unma…

cs.CV2020

UAV-AdNet: Unsupervised Anomaly Detection using Deep Neural Networks for Aerial Surveillance

Ilker Bozcan, Erdal Kayacan

Anomaly detection is a key goal of autonomous surveillance systems that should be able to alert unusual observations. In this paper, we propose a holistic anomaly detection system…

cs.CV2020

Image Generation for Efficient Neural Network Training in Autonomous Drone Racing

Theo Morales, Andriy Sarabakha, Erdal Kayacan

Drone racing is a recreational sport in which the goal is to pass through a sequence of gates in a minimum amount of time while avoiding collisions. In autonomous drone racing, one…

cs.CV2020

AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance

Ilker Bozcan, Erdal Kayacan

Unmanned aerial vehicles (UAVs) with mounted cameras have the advantage of capturing aerial (bird-view) images. The availability of aerial visual data and the recent advances in ob…