SPOC (Soil Property and Object Classification)
Description
Using a convolutional neural network (CNN), SPOC (Soil Property and Object Classification) takes rover images and classifies the terrain type (e.g., sand, soil) from visual appearance.
Detailed example
Terrain image classifications such as soil, sand, rock, etc.
AI / analytics pattern
Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
This ability enables rover to drive more safely.
Controls / human review
ATO: No; PIA: Not published
Data needed
It is trained by labeled images from MER (Mars Exploration Rover), MSL (Mars Science Laboratory), and Mars 2020 rovers, annotated by tens of thousands of citizen scientsts through the AI4Mars project. SPOC deployed on MSL's ground operation system and onboard test on M2020 is being considered. SPOC is one of many inputs to navigation.