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This repository is for estimating the covariance of drift suffering proprioceptive sensors, using an exteroceptive sensor, with known uncertainty.

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DCE: Online Drift Covariance Estimation

Package Summary

This repository is for estimating the covariance of drift suffering proprioceptive sensors, using an exteroceptive sensor with known uncertainty. This package is a generic package, which is capable of estimating the covariance of any proprioceptive sensor (any dimension).

Maintainer Status: maintained

Maintainer: Mostafa Osman

Author: Mostafa Osman, Ahmed Hussein and Abdulla Al-Kaff

Subscribed Topics

Proprioceptive sensor odometry with unknown covariance topic

/odom_with_no_covariance_topic (nav_msgs/Odometry)

Exteroceptive sensor odometry with known covariance topic

/odom_with_covariance_topic (nav_msgs/Odometry)

Published Topics

Proprioceptive sensor odometry with estimated covariance topic

/odom_with_calculated_cov_topic (nav_msgs/Odometry)

Publications

M. Osman, A. Hussein, A. Al-Kaff, F. Garcia, and J.M. Armingol (2018). “Online adaptive covariance estimation approach for multiple odometry sensors fusion”. In proceedings of Intelligent Vehicles Symposium (IV2018), pp. 1–6. IEEE.

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This repository is for estimating the covariance of drift suffering proprioceptive sensors, using an exteroceptive sensor, with known uncertainty.

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