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SOAR - Stereo Obstacle Avoidance Rig, Phase II

Metadata Updated: November 12, 2020

OKSI and Professor Frank Dellaert of Georgia Institute of Technology (Georgia Tech) are teaming up to develop an ultra-low cost passive low-SWaP spherical situation awareness sense/avoid system based upon monocular stereo vision (i.e., stereo-from-motion) for small UAS platforms operating within the NAS. When flying close to the ground (e.g., during takeoff and landing) obstacles such as cars, trees, buildings, power lines, people, and so on are not equipped with beacons. In this setting, the ability to actively detect obstacles within the environment in real-time and to take evasive maneuvers to avoid collisions is a required capability for safe operation in the NAS. Currently, there are no existing technologies that sufficiently address the sense/avoid problem associated with operation of small UAS platforms (<55lbs) operating within the NAS. To this end, OKSI is developing the Stereo Obstacle Avoidance Rig (SOAR) that will provide a complete solution to the sense/avoid problem for small UAS platforms. The SOAR system utilizes a video stream from a distributed aperture array of cell phone cameras combined with state-of-the-art single-camera stereo vision algorithms in order to construct accurate 3D environmental maps in real-time.

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Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Publisher Space Technology Mission Directorate
Unique Identifier Unknown
Identifier TECHPORT_34071
Data First Published 2018-05-01
Data Last Modified 2020-01-29
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id 79aaea01-0f6d-4c87-91eb-76ba530076d2
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL
Program Code 026:027
Source Datajson Identifier True
Source Hash 589b41fa6c9db40541bba6bc096d3d840724a71a
Source Schema Version 1.1

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