フォロー
Majid Moghadam
タイトル
引用先
引用先
Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment
A Alizadeh, M Moghadam, Y Bicer, NK Ure, U Yavas, C Kurtulus
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1399, 2019
1202019
A Hierarchical Architecture for Sequential Decision Making in Autonomous Driving using Deep Reinforcement Learning
M Moghadam, GH Elkaim
arXiv preprint arXiv:1906.08464, 2019
302019
Vision-based UAV Guidance for an Autonomous Landing System using Deep Neural Networks
Y Bicer, M Moghadam, MC Sahin, B Eroglu, NK Ure
AIAA Scitech 2019 Forum, 2019
252019
Actuator and sensor fault detection and diagnosis of quadrotor based on two-stage kalman filter
M Moghadam, F Caliskan
2015 IEEE 5th Australian Control Conference (AUCC), 182-187, 2015
252015
An Autonomous Driving Framework for Long-Term Decision-Making and Short-Term Trajectory Planning on Frenet Space
M Moghadam, GH Elkaim
2021 IEEE 17th International Conference on Automation Science and …, 2021
242021
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space
M Moghadam, A Alizadeh, E Tekin, GH Elkaim
https://arxiv.org/abs/2011.13098, 2020
172020
A Deep Reinforcement Learning Approach for Long-term Short-term Planning on Frenet Frame
M Moghadam, A Alizadeh, E Tekin, GH Elkaim
2021 IEEE 17th International Conference on Automation Science and …, 2021
112021
Autonomous execution of aircraft supermaneuvers with switching nonlinear backstepping control
M Moghadam, NK Ure, G Inalhan
2018 AIAA Guidance, Navigation, and Control Conference, 1594, 2018
52018
Fault Tolerant Control Of A Quadrotor Uav
M Moghadam
Fen Bilimleri Enstitüsü, 2015
12015
An Autonomous Driving Framework for Long-term Decision-making and Short-term Trajectory Planning on Frenet Space
M Moghadam, GH Elkaim
https://arxiv.org/abs/2011.13099, 2020
2020
Fault Detection and Diagnosis of Linear Multi-rotor UAV
M Moghadam, F Caliskan
National Conference on Automatic Control (TOK 2016), 2016
2016
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