Michele Ermidoro

Orcid: 0000-0002-0975-6897

According to our database1, Michele Ermidoro authored at least 11 papers between 2013 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
On Domain Randomization for Object Detection in real industrial scenarios using Synthetic Images.
Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

2021
Automatic Vehicle Model Recognition and Lateral Position Estimation Based on Magnetic Sensors.
IEEE Trans. Intell. Transp. Syst., 2021

2020
A High-Voltage Circuit Breaker Condition Assessment Method using the Vibration Fingerprint based on VMD-EM method.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

2019
Automatic Detection of Driver Impairment Based on Pupillary Light Reflex.
IEEE Trans. Intell. Transp. Syst., 2019

2018
A Low-Cost System for Dynamic Analysis of Pupillary Light Response for a Driver Drowsiness Detection System.
Proceedings of the 16th European Control Conference, 2018

2017
Automated detection, extraction and counting of acne lesions for automatic evaluation and tracking of acne severity.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Load swing reduction in manually operated bridge cranes.
Proceedings of the 3rd IEEE International Forum on Research and Technologies for Society and Industry, 2017

Anti-sway fixed-order control of bridge cranes with varying rope length.
Proceedings of the IEEE International Conference on Mechatronics, 2017

2016
A condition assessment algorithm based on dynamic time warping for high-voltage circuit breaker.
Proceedings of the 12th IEEE International Conference on Control and Automation, 2016

2014
On time-optimal anti-sway controller design for bridge cranes.
Proceedings of the American Control Conference, 2014

2013
Development of a wireless low-power multi-sensor network for motion tracking applications.
Proceedings of the 2013 IEEE International Conference on Body Sensor Networks, 2013


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