1 citations · 1 across the 4 of their papers we have counts for
4 papers
How Robot Dogs See the Unseeable: Improving Visual Interpretability via Peering for Exploratory Robots
Oliver Bimber, Karl Dietrich von Ellenrieder, Michael Haller +6
In vegetated environments, such as forests, exploratory robots play a vital role in navigating complex, cluttered environments where human access is limited and traditional equipme…
Reciprocal Visibility
Rakesh John Amala Arokia Nathan, Sigrid Strand, Dmitriy Shutin +1
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…
Stereoscopic Depth Perception Through Foliage
Robert Kerschner, Rakesh John Amala Arokia Nathan, Rafal Mantiuk +1
Both humans and computational methods struggle to discriminate the depths of objects hidden beneath foliage. However, such discrimination becomes feasible when we combine computati…
On the Role of Field of View for Occlusion Removal with Airborne Optical Sectioning
Francis Seits, Indrajit Kurmi, Rakesh John Amala Arokia Nathan +2
Occlusion caused by vegetation is an essential problem for remote sensing applications in areas, such as search and rescue, wildfire detection, wildlife observation, surveillance,…