Technical Notes and Correspondence

International Journal of Control, Automation and Systems 2013; 11(1): 211-215

Published online January 26, 2013

https://doi.org/10.1007/s12555-011-9205-7

© The International Journal of Control, Automation, and Systems

Distance Estimation Using Inertial Sensor and Vision

Young Soo Suh, Nguyen Ho Quoc Phuong, and Hee Jun Kang

University of Ulsan

Abstract

A simple distance estimation algorithm using inertial sensors and a mono camera is proposed. Two images of a target are obtained by moving a mono camera. The movement of the camera is estimated using inertial sensors and used as the baseline for the distance estimation. Through experiments, the accuracy of the proposed method is evaluated, where the distance error is 3.9% on average in a few meter ranges.

Keywords Computer vision, inertial navigation algorithm, inertial sensors, Kalman filter, stereo vision.

Article

Technical Notes and Correspondence

International Journal of Control, Automation and Systems 2013; 11(1): 211-215

Published online February 1, 2013 https://doi.org/10.1007/s12555-011-9205-7

Copyright © The International Journal of Control, Automation, and Systems.

Distance Estimation Using Inertial Sensor and Vision

Young Soo Suh, Nguyen Ho Quoc Phuong, and Hee Jun Kang

University of Ulsan

Abstract

A simple distance estimation algorithm using inertial sensors and a mono camera is proposed. Two images of a target are obtained by moving a mono camera. The movement of the camera is estimated using inertial sensors and used as the baseline for the distance estimation. Through experiments, the accuracy of the proposed method is evaluated, where the distance error is 3.9% on average in a few meter ranges.

Keywords: Computer vision, inertial navigation algorithm, inertial sensors, Kalman filter, stereo vision.

IJCAS
February 2025

Vol. 23, No. 2, pp. 359~682

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