Machine learning, Bayesian statistics, Monte Carlo methods, probabilistic graphical models, artificial neural networks with application to mobile robot localization and mapping.
Yasin Almalioglu received the BSc degree with honours in computer engineering from Bogazici University, Istanbul, Turkey in 2015. He was research intern at CERN Geneva, Switzerland and Astroparticle and Neutrino Physics Group at ETH Zurich, Switzerland in 2013 and 2014, respectively. He was awarded the Engin Arik Fellowship in 2013. He received the MSc degree with high honours in computer engineering from Bogazici University, Istanbul, Turkey in 2017. He is currently enrolled as a DPhil (PhD) student in computer science at the University of Oxford since January 2018.
Milli−RIO: Ego−Motion Estimation with Low−Cost Millimetre−Wave Radar
Y. Almalioglu‚ M. Turan‚ C. X. Lu‚ N. Trigoni and A. Markham
In IEEE Sensors Journal. Pages 1−1. 2020.
milliEgo: Single−chip mmWave Radar Aided Egomotion Estimation via Deep Sensor Fusion
C. X. Lu M. R. U. Saputra P. Zhao Y. Almalioglu P. P. B. d. Gusmao C. Chen K. Sun N. Trigoni and A. Markham
In ACM Conference on Embedded Networked Sensor Systems (SenSys). 2020.
DeepTIO: A Deep Thermal−Inertial Odometry with Visual Hallucination
M.R.U. Saputra P.P.B. de Gusmao C.X. Lu Y. Almalioglu S. Rosa C. Chen J. Wahlstrom W. Wang A. Markham and N. Trigoni
In IEEE Robotics and Automation Letters (RAL) + IEEE ICRA. 2020.