OMB Individually Reported
AI/ML For Hazard Detection in Austere Environments with Automated or Remotely-Operated Rovers [2024 INV#WO0000000107424]
Low riskExact public inventory row
Description
Identify unique or hazardous ground cover in the field of view of an autonomous robot's camera system
Detailed example
Prediction of ground cover type
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
Improving scientific analysis, and if deployed operationally, the preservation of investment through hazard avoidance of expensive remote or autonomous equipment
Controls / human review
ATO: No; PIA: Not published
Data needed
Image and telemetry data from NASA PDS