Evaluation of OBDII data contribution in Tiny Machine Learning based Driving Behaviour Monitoring-Reference-Cited by-同舟云学术

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Evaluation of OBDII data contribution in Tiny Machine Learning based Driving Behaviour Monitoring

Published:2022-07-05 Issue: Volume: Page:
ISSN:
Container-title:2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)
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Author:

Merenda Massimo¹,Mazzullo Vincenzo²,Princi Marco²,Martino Antonio³,Carotenuto Riccardo²,Iero Demetrio²

Affiliation:

1. Center for Digital Safety & Security, Austrian Institute of Technology Gmbh,Vienna,Austria

2. Infrastructures and Sustainable Energy (DIIES), University Mediterranea of Reggio Calabria,Department of Information Engineering,Reggio Calabria,Italy

3. Politecnico di Torino,Department of Mechanical and Aerospace Engineering,Torino,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9854191/9854207/09854360.pdf?arnumber=9854360

Reference24 articles.

1. Relationships between Driving Style and Fuel Consumption in Highway Driving

2. Driving Style Analysis Using Data Mining Techniques

3. Driver's style classification using jerk analysis

4. The multidimensional driving style inventory—scale construct and validation

5. Driving style classification using long-term accelerometer information

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1. A Method for Correcting Signal Aberrations in Ultrasonic Indoor Positioning;Sensors;2024-03-21

2. Dataset Distillation Technique Enabling ML On-board Training: Preliminary Results;Lecture Notes in Electrical Engineering;2023-11-29

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