Imperial College London
Alternate

Professor Yiannis Demiris

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Human-Centred Robotics, Head of ISN
 
 
 
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Contact

 

+44 (0)20 7594 6300y.demiris Website

 
 
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Location

 

1011Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Georgiou:2015:10.1109/IVS.2015.7225852,
author = {Georgiou, T and Demiris, Y},
doi = {10.1109/IVS.2015.7225852},
pages = {1240--1245},
publisher = {IEEE},
title = {Predicting car states through learned models of vehicle dynamics and user behaviours},
url = {http://dx.doi.org/10.1109/IVS.2015.7225852},
year = {2015}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - The ability to predict forthcoming car states is crucial for the development of smart assistance systems. Forthcoming car states do not only depend on vehicle dynamics but also on user behaviour. In this paper, we describe a novel prediction methodology by combining information from both sources - vehicle and user - using Gaussian Processes. We then apply this method in the context of high speed car racing. Results show that the forthcoming position and speed of the car can be predicted with low Root Mean Square Error through the trained model.
AU  - Georgiou,T
AU  - Demiris,Y
DO  - 10.1109/IVS.2015.7225852
EP  - 1245
PB  - IEEE
PY  - 2015///
SP  - 1240
TI  - Predicting car states through learned models of vehicle dynamics and user behaviours
UR  - http://dx.doi.org/10.1109/IVS.2015.7225852
UR  - http://hdl.handle.net/10044/1/26623
ER  -
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