Dataset Guide

Dataset: Onboard Adaptive Safe Site Identification System
Provided by National Aeronautics and Space Administration
Updated 12 Nov 2020

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Dataset summary

The dataset on this page is a cache of the dataset It is a snapshot of the dataset as it appeared on 06 Jun 2021 20:00 GMT. The current dataset could have changed in the meantime. Attribution: Contains data retrieved from

This project will enable advancement in Entry, Descent, and Landing (EDL) by addressing technology gaps for pinpoint and safe landing for both human and robotic missions. Real-time accurate and high-resolution maps of the surface are needed for autonomously identifying and navigating towards safe landing sites. Local surface maps that can be tied globally to reconnaissance maps will also enable missions with multiple ground assets to position those assets in their desired locations. OASSIS will develop algorithms and techniques that actively re-map or update surface maps during descent to eliminate navigation errors, develop safe site identification and selection algorithms, and implement a robotic emulation platform for hardware-in-the-loop testing of critical precision landing functions.

Dataset:Onboard Adaptive Safe Site Identification System
Provider:National Aeronautics and Space Administration
Licence:License information is derived automatically. Refer to source for license information before using this data.
License not specified
Country:United States of America

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