Wang, Daobin;
Liang, Huawei;
Zhu, Hui;
Zhang, Shuai;
(2014)
A Bionic Camera-Based Polarization Navigation Sensor.
Sensors
, 14
(7)
pp. 13006-13023.
10.3390/s140713006.
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Abstract
Navigation and positioning technology is closely related to our routine life activities, from travel to aerospace. Recently it has been found that Cataglyphis (a kind of desert ant) is able to detect the polarization direction of skylight and navigate according to this information. This paper presents a real-time bionic camera-based polarization navigation sensor. This sensor has two work modes: one is a single-point measurement mode and the other is a multi-point measurement mode. An indoor calibration experiment of the sensor has been done under a beam of standard polarized light. The experiment results show that after noise reduction the accuracy of the sensor can reach up to 0.3256°. It is also compared with GPS and INS (Inertial Navigation System) in the single-point measurement mode through an outdoor experiment. Through time compensation and location compensation, the sensor can be a useful alternative to GPS and INS. In addition, the sensor also can measure the polarization distribution pattern when it works in multi-point measurement mode.
Type: | Article |
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Title: | A Bionic Camera-Based Polarization Navigation Sensor |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.3390/s140713006 |
Publisher version: | https://doi.org/10.3390/s140713006 |
Language: | English |
Additional information: | © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/3.0/). |
Keywords: | Bionic navigation; polarization measurement; camera based; Cataglyphis |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10189232 |
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