Zobrazeno 1 - 10
of 40
pro vyhledávání: '"John, Amala"'
Autor:
Nathan, Rakesh John Amala Arokia, Strand, Sigrid, Mehrwald, Daniel, Shutin, Dmitriy, Bimber, Oliver
Swarms of drones offer an increased sensing aperture, and having them mimic behaviors of natural swarms enhances sampling by adapting the aperture to local conditions. We demonstrate that such an approach makes detecting and tracking heavily occluded
Externí odkaz:
http://arxiv.org/abs/2407.10754
We propose a guidance strategy to optimize real-time synthetic aperture sampling for occlusion removal with drones by pre-scanned point-cloud data. Depth information can be used to compute visibility of points on the ground for individual drone posit
Externí odkaz:
http://arxiv.org/abs/2402.06991
Both humans and computational methods struggle to discriminate the depths of objects hidden beneath foliage. However, such discrimination becomes feasible when we combine computational optical synthetic aperture sensing with the human ability to fuse
Externí odkaz:
http://arxiv.org/abs/2310.16120
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Both humans and computational methods struggle to discriminate the depths of objects hidden beneath foliage. However, such discrimination becomes feasible when we combine computational optical synthetic aperture sensing with the human abilit
Externí odkaz:
https://doaj.org/article/b2f26ddb6f794f1cbd0ccae8182262d6
Previous research has shown that in the presence of foliage occlusion, anomaly detection performs significantly better in integral images resulting from synthetic aperture imaging compared to applying it to conventional aerial images. In this article
Externí odkaz:
http://arxiv.org/abs/2304.13590
We demonstrate how efficient autonomous drone swarms can be in detecting and tracking occluded targets in densely forested areas, such as lost people during search and rescue missions. Exploration and optimization of local viewing conditions, such as
Externí odkaz:
http://arxiv.org/abs/2212.14692
Autor:
Kerschner, Robert1 (AUTHOR), Nathan, Rakesh John Amala Arokia1 (AUTHOR), Mantiuk, Rafał K.2 (AUTHOR), Bimber, Oliver1 (AUTHOR) oliver.bimber@jku.at
Publikováno v:
Scientific Reports. 10/4/2024, Vol. 14 Issue 1, p1-12. 12p.
We present Inverse Airborne Optical Sectioning (IAOS) an optical analogy to Inverse Synthetic Aperture Radar (ISAR). Moving targets, such as walking people, that are heavily occluded by vegetation can be made visible and tracked with a stationary opt
Externí odkaz:
http://arxiv.org/abs/2207.13344
Autor:
Seits, Francis, Kurmi, Indrajit, Nathan, Rakesh John Amala Arokia, Ortner, Rudolf, Bimber, Oliver
Occlusion caused by vegetation is an essential problem for remote sensing applications in areas, such as search and rescue, wildfire detection, wildlife observation, surveillance, border control, and others. Airborne Optical Sectioning (AOS) is an op
Externí odkaz:
http://arxiv.org/abs/2204.13371
Detecting and tracking moving targets through foliage is difficult, and for many cases even impossible in regular aerial images and videos. We present an initial light-weight and drone-operated 1D camera array that supports parallel synthetic apertur
Externí odkaz:
http://arxiv.org/abs/2111.06959