no code implementations • 12 Oct 2023 • Gokhan Budan, Francesca Damiani, Can Kurtulus, N. Kemal Ure
The standard methodology for battery modelling is traditional design of experiments (DoE), where the battery dynamics are excited with many different current profiles and the measured outputs are used to estimate the system dynamics.
no code implementations • 6 Apr 2021 • A. Sadik Satir, Umut Demir, Gulay Goktas Sever, N. Kemal Ure
In this work, we propose a novel missile guidance algorithm that combines deep learning based trajectory prediction with nonlinear model predictive control.
no code implementations • 11 Dec 2020 • Onur Akgun, Kamil Canberk Atik, Mustafa Erdem, Mehmetcan Kaymaz, Bugrahan Yamak, N. Kemal Ure
We investigate how to utilize predictive models for selecting appropriate motion planning strategies based on perception uncertainty estimation for agile unmanned aerial vehicle (UAV) navigation tasks.
Motion Planning Robotics Systems and Control Systems and Control
no code implementations • 24 Sep 2020 • M. Ugur Yavas, N. Kemal Ure, Tufan Kumbasar
Automated lane change is one of the most challenging task to be solved of highly automated vehicles due to its safety-critical, uncertain and multi-agent nature.