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Ahmet Buğra Koku

E-mail
kbugra@metu.edu.tr
Department
Department of Mechanical Engineering
Scopus Author ID
Multiple human trajectory prediction and cooperative navigation modeling in crowded scenes
Hacinecipoglu, Akif; Konukseven, Erhan İlhan; Koku, Ahmet Buğra (Springer Science and Business Media LLC, 2020-07-01)
As mobile robots start operating in environments crowded with humans, human-aware navigation is required to make these robots navigate safely, efficiently and in socially compliant manner. People navigate in an interactive...
Pose invariant people detection in point clouds for mobile robots
Hacinecipoglu, Akif; Konukseven, Erhan İlhan; Koku, Ahmet Buğra (2020-05-01)
Fast head detection in arbitrary poses using depth information
HACINECİPOĞLU, AKİF; Konukseven, Erhan İlhan; Koku, Ahmet Buğra (Emerald, 2020-03-14)
Purpose
Slippage Estimation of Two Wheeled Mobile Robot Using Recurrent Deep Neural Network
Özçil, Osmail; Koku, Ahmet Buğra; Konukseven, Erhan İlhan (2019-12-14)
CUR Decompositions, Similarity Matrices, and Subspace Clustering
Aldroubi, Akram; Hamm, Keaton; Koku, Ahmet Buğra; Sekmen, Ali (2019-01-21)
Localization for mobile robots using skyline in panoramic images
Koku, Ahmet Buğra (Journal of the Faculty of Engineering and Architecture of Gazi University, 2019-01-01)
Advances in robotics liberated robots from factory floors by the end of 20th century. Use of robots in our daily lives is only expected to increase in time. Robots, while relieving us of the burden of tedious, hard and dan...
Behavior-Based Approach for Cooperative Control of a Haptic-driven Mobile Robot
Mohamadi, Yaser; Konukseven, Erhan İlhan; Koku, Ahmet Buğra (2019-01-01)
Enhanced Deep Learning with Improved Feature Subspace Separation
PARLAKTUNA, Mustafa; SEKMEN, ali; Koku, Ahmet Buğra; ABDUL MALEK, Ayad (2018-09-30)
Similarity matrix framework for data from union of subspaces
Aldroubi, Akram; Sekmen, Ali; Koku, Ahmet Buğra; Cakmak, Ahmet Faruk (2018-09-01)
This paper presents a framework for finding similarity matrices for the segmentation of data W = [w(1)...w(N)] subset of R-D drawn from a union U = boolean OR(M)(i=1) S-i, of independent subspaces {S-i}(i=1)(M), of dimensi...
To Train or not to Train
Koku, Ahmet Buğra; ÇAKIR, Ahmet; PARLAKTUNA, Mustafa; SEKMEN, Ali (2018-06-15)