Enhanced AutoNav for Perseverance Rover on Mars
AutoNav on the Perseverance Rover autonomously plans a safe path based on stereo navigation camera images, based on multiple technologies including a tree search for decision maki…
Groundwater data interpolation in California’s Central Valley using multimodal data fusion and multivariate sequence-to-sequence transformation models
We describe novel distributed Artificial Intelligence/Multi Agent algorithms to allocate observations in a constellation and compare their performance to centralized and highly di…
Hybrid On-Board and Ground-Based Processing of Massive Sensor Data (HyspIRI IPM)
Future space missions will enable unprecedented monitoring of the Earth's environment and will generate immense volumes of science data. Getting this data to ground communications…
Machine Learning Airport Surface Model: Taxi-out Prediction
The ML-airport-taxi-out software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models intended…
Mars2020 Rover (Perseverance)
Research, experiments, and engineering to empower future rovers with onboard autonomy; planning, scheduling & execution; path planning; onboard science; image processing; terrain…
MLNav (Machine Learning Navigation)
Accelerates path planning of rovers and other types of vehicles through ML-based heuristics, while guaranteeing safety through conventional, model-based collision checking.
Neural network accelerated radiative transfer modeling
Neural network accelerated radiative transfer modeling is intended to enhance efforts in the Earth Science domain.
Perseverance Rover on Mars - Terrain Relative Navigation
3D machine vision via dual cameras to inform convolutional neural networks for rover navigation path planning.
Providing visualization tools and streamlining the detection and tracking of wildfire-induced smoke plumes during the Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ) mission
Providing visualization tools and streamlining the detection and tracking of wildfire-induced smoke plumes during the Fire Influence on Regional to Global Environments and Air Qua…
SCOTI (Scientific Captioning of Terrain Images)
SCOTI (Scientific Captioning of Terrain Images) automatically generates natural language explanations of geological images taken by rovers. It uses "show-attend-tell" model consis…
SPOC (Soil Property and Object Classification)
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 appear…
Trusted and exPlainable Artificial Intelligence for Saving Lives (TruePAL) Technology for First Responder Safety
Fatalities caused by emergency vehicle collisions are 4.8 times higher for emergency responders than the national average. The Trusted and exPlainable Artificial Intelligence for…
Volcano SensorWeb
NextGen Advanced Methods: ATCSCC Webinar Speech2Text and Analysis
The Advanced Methods project explores the use of innovative and emerging technologies to drive post operational analysis of Traffic Management for aircraft. Technologies such as m…
Classification of features in Crew Earth Observations imagery
Feature classification in Crew Earth Observations imagery of the following classes: Earth limb, lightning, the Moon, aurora, cities (64 cities, day/night), ISS equipment. For depl…
Cloud masks from Crew Earth Observations imagery
Generation of cloud masks via segmentation in Crew Earth Observations (Crew Earth Observations) images. For deployment on the Gateway to Astronaut Photography to supplement search…
Comment Analytics Dashboard
Developed using Python and R, the Comment Analysis Dashboard is designed to visualize sentiment scored data provided by SF to better understand how crew members feel on a day-to-d…
NextGen Data Analytics: Letters of Agreement
Today, operation constraints are documented via Standard Operating Procedures (SOP) and Letters of Agreement (LOA) and are not made available to the public in a consistent manner.…
Crew Earth Observations automated georeferencing/geolocation
Automated georeferencing of Crew Earth Observation images. For deployment on the Gateway to Astronaut Photography.
Machine Learning for RFID (Radio Frequency Identification) tag localization to support logistics
Currently have two production machine learning approaches to tackle RFID (Radio Frequency Identification) tag localization in the highly reflective environment imposed by the Inte…
Noise suppression in Human Spaceflight audio systems
Noise. Is. Aggravating. Especially on voice and video calls. It’s certainly an unwelcome party to most conversations, but it has always been around.
Adaptive Neural Network Molecular Dynamics
ML approach, based on artificial neural networks (ANNs) is used in atomistic simulations to efficiently reproduce the very complex energy landscape resulting from the atomic inter…
Aerosol and Cloud Identification in SAGE III/ISS Aerosol Extinction Profiles
This work uses machine learning techniques to classify aerosols in SAGE (Stratospheric Aerosol and Gas Experiment) III / ISS (International Space Station) Aerosol Extinction Profi…
AMP: An Automated Metadata Pipeline
In this work, we combine ontologies and machine learning to auto-generate robust, semantically consistent, variable-level metadata records for large NASA satellite collections, an…