Polarimetric iToF: Measuring High-Fidelity Depth Through Scattering Media

Jeon, Daniel S.; Meuleman, Andréas; Baek, Seung-Hwan; Kim, Min H.

doi:10.1109/cvpr52729.2023.01189

Cited by 4 publications

(1 citation statement)

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“…Improved perception of the real world through polarization extends applications to more advanced systems such as event cameras [ 331 , 332 ] or iTOF (indirect Time Of Flight) cameras [ 333 ]. One solution to the major challenges in scene understanding and 3D estimation could be to fuse polarization cues through various wavelengths additionally to 3D sensor to provide robust reconstruction in the presence of specular or translucent objects that can be found indoors or outdoors.…”

Section: Polarized Vision For Scene Understandingmentioning

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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Section: Polarized Vision For Scene Understandingmentioning

confidence: 99%