Daniel J. Auger

Orcid: 0000-0002-6199-4251

According to our database1, Daniel J. Auger authored at least 13 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Development of a Hybrid Adaptive Neuro-fuzzy Inference System with Coulomb-Counting State-of-Charge Estimator for Lithium-Sulphur Battery.
Int. J. Fuzzy Syst., March, 2023

2022
Application of advanced tree search and proximal policy optimization on formula-E race strategy development.
Expert Syst. Appl., 2022

2021
Lithium-Sulfur Cell State of Charge Estimation Using a Classification Technique.
IEEE Trans. Veh. Technol., 2021

Formula-E race strategy development using distributed policy gradient reinforcement learning.
Knowl. Based Syst., 2021

2020
The implication of non-driving activities on situation awareness and take-over performance in level 3 automation.
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.
Proceedings of the 18th European Control Conference, 2020

2018
Accuracy Versus Simplicity in Online Battery Model Identification.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Analysis of autopilot disengagements occurring during autonomous vehicle testing.
IEEE CAA J. Autom. Sinica, 2018

A Novel Control Framework of Haptic Take-Over System for Automated Vehicles.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

2017
Lithium-Sulfur Cell Equivalent Circuit Network Model Parameterization and Sensitivity Analysis.
IEEE Trans. Veh. Technol., 2017

An Orientation Sensor-Based Head Tracking System for Driver Behaviour Monitoring.
Sensors, 2017

Characterisation of driver neuromuscular dynamics for haptic take-over system design for automated vehicles.
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.
Proceedings of the 13th International Conference on Synthesis, 2016


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