SOAR - Stereo Obstacle Avoidance Rig, Phase II

Metadata Updated: May 2, 2019

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: U.S. Government Work

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Metadata Created Date August 1, 2018
Metadata Updated Date May 2, 2019

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date May 2, 2019
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_34071
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Datagov Dedupe Retained 20190501230127
Harvest Object Id ec20da7e-336a-429a-8403-0aa86febfe16
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2018-05-01
Homepage URL
Data Last Modified 2018-07-20
Program Code 026:027
Source Datajson Identifier True
Source Hash 85e62f5b0c2637bb462cc19b6d5959b00c03e6ba
Source Schema Version 1.1

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