Estimating friction coefficient using generative modelling
conference contributionposted on 2023-05-25, 13:25 authored by Mohammad OtoofiMohammad Otoofi, William JB Midgley, Leo Laine, Leon Henderson, Laura JusthamLaura Justham, James FlemingJames Fleming
It is common to utilise dynamic models to measure the tyre-road friction in real-time. Alternatively, predictive approaches estimate the tyre-road friction by identifying the environmental factors affecting it. This work aims to formulate the problem of friction estimation as a visual perceptual learning task. The problem is broken down into detecting surface characteristics by applying semantic segmentation and using the extracted features to predict the frictional force. This work for the first time formulates the friction estimation problem as a regression from the latent space of a semantic segmentation model. The preliminary results indicate that this approach can estimate frictional force.
- Mechanical, Electrical and Manufacturing Engineering
Published in2023 IEEE International Conference on Mechatronics (ICM)
Source2023 IEEE International Conference on Mechatronics (ICM)
- AM (Accepted Manuscript)
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