Search Results for author: David C. Schedl

Found 7 papers, 3 papers with code

Touch Sensing on Semi-Elastic Textiles with Border-Based Sensors

no code implementations16 May 2023 Samuel Zühlke, Andreas Stöckl, David C. Schedl

This study presents a novel approach for touch sensing using semi-elastic textile surfaces that does not require the placement of additional sensors in the sensing area, instead relying on sensors located on the border of the textile.

Through-Foliage Tracking with Airborne Optical Sectioning

1 code implementation12 Nov 2021 Rakesh John Amala Arokia Nathan, Indrajit Kurmi, David C. Schedl, Oliver Bimber

Detecting and tracking moving targets through foliage is difficult, and for many cases even impossible in regular aerial images and videos.

Anomaly Detection

Combined Person Classification with Airborne Optical Sectioning

1 code implementation18 Jun 2021 Indrajit Kurmi, David C. Schedl, Oliver Bimber

Fully autonomous drones have been demonstrated to find lost or injured persons under strongly occluding forest canopy.

Classification

Pose Error Reduction for Focus Enhancement in Thermal Synthetic Aperture Visualization

no code implementations15 Dec 2020 Indrajit Kurmi, David C. Schedl, Oliver Bimber

Airborne optical sectioning, an effective aerial synthetic aperture imaging technique for revealing artifacts occluded by forests, requires precise measurements of drone poses.

Pose Estimation

Search and Rescue with Airborne Optical Sectioning

3 code implementations18 Sep 2020 David C. Schedl, Indrajit Kurmi, Oliver Bimber

We show that automated person detection under occlusion conditions can be significantly improved by combining multi-perspective images before classification.

General Classification Human Detection

Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization

no code implementations8 May 2020 Indrajit Kurmi, David C. Schedl, Oliver Bimber

In this article, we describe and validate the first fully automatic parameter optimization for thermal synthetic aperture visualization.

A Statistical View on Synthetic Aperture Imaging for Occlusion Removal

no code implementations15 Jun 2019 Indrajit Kurmi, David C. Schedl, Oliver Bimber

Synthetic apertures find applications in many fields, such as radar, radio telescopes, microscopy, sonar, ultrasound, LiDAR, and optical imaging.

Common Sense Reasoning

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