Daniel J. Auger

According to our database, Daniel J. Auger authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Optimal Control of Race Car With Aerodynamic Slipstreaming Effect.

Xuze Liu, Abbas Fotouhi, Marco Cecotti, Daniel J. Auger

IEEE Trans. Control. Syst. Technol., November, 2024

Formula-E Multi-Car Race Strategy Development - A Novel Approach Using Reinforcement Learning.

Xuze Liu, Abbas Fotouhi, Daniel J. Auger

IEEE Trans. Intell. Transp. Syst., August, 2024

Battery Temperature Prediction in Electric Vehicles Using Bayesian Regularization.

R. Alp Akpinar, Sreekar Achanta, Abbas Fotouhi, Hanwen Zhang, Daniel J. Auger

Proceedings of the 20th International Conference on Synthesis, 2024

2023

Development of a Hybrid Adaptive Neuro-fuzzy Inference System with Coulomb-Counting State-of-Charge Estimator for Lithium-Sulphur Battery.

Nicolas Valencia, Abbas Fotouhi, Neda Shateri, Daniel J. Auger

Int. J. Fuzzy Syst., March, 2023

2022

Application of advanced tree search and proximal policy optimization on formula-E race strategy development.

Xuze Liu, Abbas Fotouhi, Daniel J. Auger

Expert Syst. Appl., 2022

2021

Lithium-Sulfur Cell State of Charge Estimation Using a Classification Technique.

Neda Shateri, Zhihao Shi, Daniel J. Auger, Abbas Fotouhi

IEEE Trans. Veh. Technol., 2021

Formula-E race strategy development using distributed policy gradient reinforcement learning.

Xuze Liu, Abbas Fotouhi, Daniel J. Auger

Knowl. Based Syst., 2021

2020

The implication of non-driving activities on situation awareness and take-over performance in level 3 automation.

Lichao Yang, Mahdi Babayi Semiromi, Daniel J. Auger, Arkadiusz Jan Dmitruk, James Brighton, Yifan Zhao

Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

State of Charge Estimation in Lithium-Sulfur Cells Using LSTM Recurrent Neural Networks.

Zhihuo Wang, Abbas Fotouhi, Daniel J. Auger

Proceedings of the 18th European Control Conference, 2020

2018

Accuracy Versus Simplicity in Online Battery Model Identification.

Abbas Fotouhi, Daniel J. Auger, Karsten Propp, Stefano Longo

IEEE Trans. Syst. Man Cybern. Syst., 2018

Analysis of autopilot disengagements occurring during autonomous vehicle testing.

Chen Lv, Dongpu Cao, Yifan Zhao, Daniel J. Auger, Mark Sullman, Huaji Wang, Laura Millen Dutka, Lee Skrypchuk, Alexandros Mouzakitis

IEEE CAA J. Autom. Sinica, 2018

A Novel Control Framework of Haptic Take-Over System for Automated Vehicles.

Chen Lv, Huaji Wang, Dongpu Cao, Yifan Zhao, Mark Sullman, Daniel J. Auger, James Brighton, Rebecca Matthias, Lee Skrypchuk, Alexandros Mouzakitis

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

2017

Lithium-Sulfur Cell Equivalent Circuit Network Model Parameterization and Sensitivity Analysis.

Abbas Fotouhi, Daniel J. Auger, Karsten Propp, Stefano Longo, Rajlakshmi Purkayastha, Laura O'Neill, Sylwia Walus

IEEE Trans. Veh. Technol., 2017

An Orientation Sensor-Based Head Tracking System for Driver Behaviour Monitoring.

Yifan Zhao, Lorenz Görne, Iek-Man Yuen, Dongpu Cao, Mark Sullman, Daniel J. Auger, Chen Lv, Huaji Wang, Rebecca Matthias, Lee Skrypchuk, Alexandros Mouzakitis

Sensors, 2017

Characterisation of driver neuromuscular dynamics for haptic take-over system design for automated vehicles.

Chen Lv, Huaji Wang, Dongpu Cao, Yifan Zhao, Daniel J. Auger, Mark Sullman, Rebecca Matthias, Lee Skrypchuk, Alexandros Mouzakitis

Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

2016

A MATLAB graphical user interface for battery design and simulation; from cell test data to real-world automotive simulation.

Abbas Fotouhi, Neda Shateri, Daniel J. Auger, Stefano Longo, Karsten Propp, Rajlakshmi Purkayastha, Mark Wild

Proceedings of the 13th International Conference on Synthesis, 2016