PhD Defense on the topic "Distributed Stochastic Model Predictive Control for a Microscopic Interactive Traffic Model"
10/2018 - 2023
Research Associate/ PhD candidate Chair of Automatic Control Engineering (LSR), Technische Universität München (TUM), Munich, Germany
08/2015 - 06/2018
Master of Science, Circuits and Systems, School of Electronic Engineering, Xidian University, Shaanxi, China
08/2011 - 06/2015
Bachelor of Science, Electronic and Information Engineering, School of Electronic Engineering, Xidian University, Shaanxi, China
Research Interests
Autonomous Vehicles
Model Predictive Control
Optimization
Inverse Reinforcement Learning
Inverse Optimal Control
Imitation Learning
Publikationen
2023
Dang, Ni; Brüdigam, Tim; Zhang, Zengjie; Liu, Fangzhou; Leibold, Marion; Buss, Martin: Distributed Stochastic Model Predictive Control for a Microscopic Interactive Traffic Model. Electronics (12(6), 1270), 2023 mehr…
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Dang, Ni; Zhang, Zengjie; Liu, Jizheng; Leibold, Marion; Buss, Martin: Incorporating Target Vehicle Trajectories Predicted by Deep Learning Into Model Predictive Controlled Vehicles. arXiv preprint arXiv:2310.02843, 2023 mehr…
Dang, Ni; Shi, Tao; Zhang, Zengjie; Jin, Wanxin; Leibold, Marion; Buss, Martin: Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2023 mehr…
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2022
Dang, Ni; Brüdigam, Tim; Leibold, Marion; Buss, Martin: Combining Event-Based Maneuver Selection and MPC Based Trajectory Generation in Autonomous Driving. Electronics 11 (10), 2022 mehr…
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2018
Wu, Jianshe; Dang, Ni; Jiao, Yang: Reconstruction of Networks from One-Step Data by Matching Positions. Physica A: Statistical Mechanics and its Applications, 2018 mehr…
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