Emre Özkan

E-mail

emreo@metu.edu.tr

Department

Department of Electrical and Electronics Engineering

ORCID

0000-0002-0380-2928

Scopus Author ID

37013768900

Web of Science Researcher ID

B-4864-2019

Random matrix extended target tracking for trajectory-aligned and drifting targets Şahin, Kurtuluş Kerem; BALCI, ALİ EMRE; Özkan, Emre (2024-01-01) In this paper, we propose two random matrix based extended target tracking models, which apply to the trajectory-aligned and drifting target motions. The trajectory-aligned model is specifically designed to handle targets ...
Tracking Arbitrarily Shaped Extended Objects Using Gaussian Processes Kumru, Murat; Özkan, Emre (2024-01-01) In this paper, we consider the problem of tracking dynamic objects with unknown shapes using point cloud measurements generated by sensors such as lidars and radars. Specifically, our objective is to extend the Gaussian pr...
Multi-Ellipsoidal Extended Target Tracking With Variational Bayes Inference Tuncer, Barkın; Orguner, Umut; Özkan, Emre (2022-01-01) In this work, we propose a novel extended target tracking algorithm, which is capable of representing a target or a group of targets with multiple ellipses. Each ellipse is modeled by an unknown symmetric positive-definite...
Association and Fusion of Range-Azimuth Tracks Balci, Ali Emre; Şahin, Kurtuluş Kerem; Kumru, Firat; Pektas, Fatih; Özkan, Emre; Orguner, Umut (2022-01-01) In this paper, novel association and fusion methods for range-azimuth tracks are proposed. The association method requires calculating the distance between two tracks that lack elevation information. An iterative algorithm...
Random Matrix Based Extended Target Tracking with Orientation: A New Model and Inference Tuncer, Barkın; Özkan, Emre (2021-02-01) In this study, we propose a novel extended target tracking algorithm which is capable of representing the extent of dynamic objects as an ellipsoid with a time-varying orientation angle. A diagonal positive semi-definite m...
Variational Measurement Update for Extended Object Tracking Using Gaussian Processes Kumru, Murat; Özkan, Emre (2021-01-01) We present an alternative inference framework for the Gaussian process-based extended object tracking (GPEOT) models. The method provides an approximate solution to the Bayesian filtering problem in GPEOT by relying on a n...
Three-Dimensional Extended Object Tracking and Shape Learning Using Gaussian Processes Kumru, Murat; Özkan, Emre (2021-01-01)
Beklenti maksimizasyonu ile genişletilmiş hedef izleme Özkan, Emre (2019-03-01) Bu çalışmada genişletilmiş hedef izleme (GHİ) problemi ele alınmıştır. GHİ problemi klasik hedef izleme probleminden farklı olarak, bir hedefin tek bir anda birden fazla ölçüme sebep olması durumunu inceler. Bu varsayım al...
Multiellipsoidal extended target tracking with known extent using sequential Monte Carlo framework Kara, Suleyman Fatih; Özkan, Emre (The Scientific and Technological Research Council of Turkey, 2019-01-01) In this paper, we consider a variant of the extended target tracking (ETT) problem, namely the multiellipsoidal ETT problem. In multiellipsoidal ETT, target extent is represented by multiple ellipses, which correspond to t...
Extended Target Tracking and Classification Using Neural Networks Tuncer, Barkın; Kumru, Murat; Özkan, Emre (2019-01-01) Extended target/object tracking (ETT) problem involves tracking objects which potentially generate multiple measurements at a single sensor scan. State-of-the-art ETT algorithms can efficiently exploit the available inform...

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