Polarimetry for Bionic Geolocation and Navigation Applications: A Review

Li, Qianhui; Dong, Liquan; Hu, Yao; Hao, Qun; Wang, Wenli; Cao, Jie; Yang, Cheng

doi:10.3390/rs15143518

Cited by 5 publications

(3 citation statements)

References 207 publications

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“…In the last few years, some new orientation methods have been developed which use polarized skylight for different navigation applications [34][35][36][37][38][39][40]. However, considering their instruments/equipments and how they use sky polarization, these sky-polarization-based modern navigation methods differ considerably from the SPVN.…”

Section: Plos Onementioning

confidence: 99%

Speedy bearings to slacked steering: Mapping the navigation patterns and motions of Viking voyages

Takacs,

Szaz,

Pereszlenyi

et al. 2023

PLoS ONE

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Viking sailors ruled the North Atlantic Ocean for about three hundred years. Their main sailing route was the 60° 21’ 55’’ latitude between Norway and Greenland. Although they did not have a magnetic compass, in sunshine they used a sun-compass to determine the geographical north (solar Viking navigation: SVN). It has been hypothesized that when the Sun was invisible, Viking navigators determined the direction of polarization of skylight with sunstones (dichroic/birefringent crystals), and then estimated the geographical north using the sun-compass (sky-polarimetric Viking navigation: SPVN). Many details of the hypothetical SPVN have been thoroughly revealed in psychophysical laboratory and planetarium experiments. Combining these results with measured celestial polarization patterns, the success of SPVN was obtained as functions of sailing, meteorological and navigation parameters (sunstone type, sailing date, navigation periodicity, night sailing, cloudiness conditions). What was so far lacking in this experimental and computational archeological approach is the study of the success of SVN and a combined navigation using solar cues in sunshine (SVN) and sky polarization at invisible Sun (SPVN), the latter being the most realistic method. In this work we determine the success of the sole SVN and the combined SVN-SPVN relative to the mere SPVN for three navigator types (determining the intended sailing direction with large, medium or small frequencies) at spring equinox and summer solstice, with and without night sailing. We found that to maximize the sailing success, navigators had to choose different navigation methods depending on the navigation frequency. Using sky polarization with very frequent navigation, resulted in the highest chance to survive a three-week voyage from Norway to Greenland.

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Section: Plos Onementioning

confidence: 99%

Speedy bearings to slacked steering: Mapping the navigation patterns and motions of Viking voyages

Takacs,

Szaz,

Pereszlenyi

et al. 2023

PLoS ONE

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“…Biologists have recently demonstrated that greater mouse-eared bats use skylight polarization cues to calibrate a magnetic compass at sunset [15] and mantis shrimp use celestial polarization and path integration to navigate home [16]. This celestial polarization orientation method is used as a bio-inspired polarization navigation method which has attracted much attention due to its advantages, namely autonomy and no error accumulation [17,18]. This method is reported to have potential applications in assisting inertial navigation in the event of satellite denial [19].…”

Section: Introductionmentioning

confidence: 99%

Measurement Modeling and Performance Analysis of a Bionic Polarimetric Imaging Navigation Sensor Using Rayleigh Scattering to Generate Scattered Sunlight

Wan,

Zhao,

Cheng

et al. 2024

Sensors

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The bionic polarimetric imaging navigation sensor (BPINS) is a navigation sensor that provides absolute heading, and it is of practical engineering significance to model the measurement error of BPINS. The existing BPINSs are still modeled using photodiode-based measurements rather than imaging measurements and are not modeled systematically enough. This paper proposes a measurement performance analysis method of BPINS that takes into account the geometric and polarization errors of the optical system. Firstly, the key error factors affecting the overall measurement performance of BPINS are investigated, and the Stokes vector-based measurement error model of BPINS is introduced. Secondly, based on its measurement error model, the effect of the error source on the measurement performance of BPINS is quantitatively analyzed using Rayleigh scattering to generate scattered sunlight as a known incident light source. The numerical results show that in angle of E-vector (AoE) measurement, the coordinate deviation of the principal point has a greater impact, followed by grayscale response inconsistency of CMOS and integration angle error of micro-polarization array, and finally lens attenuation; in degree of linear polarization (DoLP) measurement, the grayscale response inconsistency of CMOS has a more significant impact. This finding can accurately guide the subsequent calibration of BPINS, and the quantitative results provide an important theoretical reference for its optimal design.

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“…Previous review articles have focused on the progress of bio-inspired polarized sensors and comprised an exhaustive overview on polarized sensors manufactured by nanotechnology [ 21 ], polarization based orientation estimation algorithms, and the combination of polarized sensors with INS, GNSS, SLAM, and other localization systems [ 22 , 23 ] or polarization-based geolocation [ 23 , 24 ] instead of being focused on passive polarized vision in autonomous vehicles in which the dynamic accuracy is more relevant than the static accuracy. Despite the growing interest in bio-inspired polarized sensors for navigation purposes, few of them have been implemented on board mobile robots.…”

Section: Introductionmentioning

confidence: 99%

Passive Polarized Vision for Autonomous Vehicles: A Review

Serres,

Lapray,

Viollet

et al. 2024

Sensors

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This review article aims to address common research questions in passive polarized vision for robotics. What kind of polarization sensing can we embed into robots? Can we find our geolocation and true north heading by detecting light scattering from the sky as animals do? How should polarization images be related to the physical properties of reflecting surfaces in the context of scene understanding? This review article is divided into three main sections to address these questions, as well as to assist roboticists in identifying future directions in passive polarized vision for robotics. After an introduction, three key interconnected areas will be covered in the following sections: embedded polarization imaging; polarized vision for robotics navigation; and polarized vision for scene understanding. We will then discuss how polarized vision, a type of vision commonly used in the animal kingdom, should be implemented in robotics; this type of vision has not yet been exploited in robotics service. Passive polarized vision could be a supplemental perceptive modality of localization techniques to complement and reinforce more conventional ones.

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Polarimetry for Bionic Geolocation and Navigation Applications: A Review

Cited by 5 publications

References 207 publications

Speedy bearings to slacked steering: Mapping the navigation patterns and motions of Viking voyages

Speedy bearings to slacked steering: Mapping the navigation patterns and motions of Viking voyages

Measurement Modeling and Performance Analysis of a Bionic Polarimetric Imaging Navigation Sensor Using Rayleigh Scattering to Generate Scattered Sunlight

Passive Polarized Vision for Autonomous Vehicles: A Review

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