Datasets / SOAR - Stereo Obstacle Avoidance Rig Project


SOAR - Stereo Obstacle Avoidance Rig Project

Published By National Aeronautics and Space Administration

Issued almost 10 years ago

US
beta

Summary

Type of release
a one-off release of a single dataset

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Description

The ultimate goal of the SOAR program is to develop robust hardware and algorithms for low light, passive terrain sensing. The SOAR system will provide NASA with a solution for real-time obstacle avoidance for large and small unmanned air platforms. During Phase-I, we will collect images with all of the leading low-light camera technologies. The image data will be used to derive, test, and enhance a passive terrain sensing algorithm based-on state-of-the-art, visual odometry and dense stereo algorithms. At the end of Phase-I, we will recommend the optimal hardware, algorithm, and computing platform for full prototype development during Phase-II. The factors used to make the recommendation include cost, range accuracy, size, power consumption, algorithm execution time, etc.