Adaptive Noise Variance Identification in Vision-aided Motion Estimation for UAVs

Fan Zhou, Wei Zheng, Zengfu Wang

2014

Abstract

Vision location methods have been widely used in the motion estimation of unmanned aerial vehicles (UAVs). The noise of the vision location result is usually modeled as the white gaussian noise so that this result could be utilized as the observation vector in the kalman filter to estimate the motion of the vehicle. Since the noise of the vision location result is affected by external environment, the variance of the noise is uncertain. However, in previous researches the variance is usually set as a fixed empirical value, which will lower the accuracy of the motion estimation. In this paper, a novel adaptive noise variance identification (ANVI) method is proposed, which utilizes the special kinematic property of the UAV for frequency analysis and adaptively identify the variance of the noise. Then, the adaptively identified variance are used in the kalman filter for accurate motion estimation. The performance of the proposed method is assessed by simulations and field experiments on a quadrotor system. The results illustrate the effectiveness of the method.

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Paper Citation


in Harvard Style

Zhou F., Zheng W. and Wang Z. (2014). Adaptive Noise Variance Identification in Vision-aided Motion Estimation for UAVs . In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-018-5, pages 753-758. DOI: 10.5220/0004921707530758


in Bibtex Style

@conference{icpram14,
author={Fan Zhou and Wei Zheng and Zengfu Wang},
title={Adaptive Noise Variance Identification in Vision-aided Motion Estimation for UAVs},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2014},
pages={753-758},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004921707530758},
isbn={978-989-758-018-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Adaptive Noise Variance Identification in Vision-aided Motion Estimation for UAVs
SN - 978-989-758-018-5
AU - Zhou F.
AU - Zheng W.
AU - Wang Z.
PY - 2014
SP - 753
EP - 758
DO - 10.5220/0004921707530758