دورية أكاديمية

Passive Polarized Vision for Autonomous Vehicles: A Review

التفاصيل البيبلوغرافية
العنوان: Passive Polarized Vision for Autonomous Vehicles: A Review
المؤلفون: Julien R. Serres, Pierre-Jean Lapray, Stéphane Viollet, Thomas Kronland-Martinet, Antoine Moutenet, Olivier Morel, Laurent Bigué
المصدر: Sensors, Vol 24, Iss 11, p 3312 (2024)
بيانات النشر: MDPI AG, 2024.
سنة النشر: 2024
المجموعة: LCC:Chemical technology
مصطلحات موضوعية: bio-inspired vision, multi-modal vision, unconventional vision, scene understanding, linearly polarized light, passive polarization sensing, Chemical technology, TP1-1185
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1424-8220
Relation: https://www.mdpi.com/1424-8220/24/11/3312; https://doaj.org/toc/1424-8220
DOI: 10.3390/s24113312
URL الوصول: https://doaj.org/article/9d4f87f8e5314a18a03ce79d09bcf238
رقم الأكسشن: edsdoj.9d4f87f8e5314a18a03ce79d09bcf238
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:14248220
DOI:10.3390/s24113312