6 citations · 14 across the 10 of their papers we have counts for
15 papers
Enhancing Fault-Tolerant Space Computing: Guidance Navigation and Control (GNC) and Landing Vision System (LVS) Implementations on Next-Gen Multi-Core Processors
Kyongsik Yun, David Bayard, Gerik Kubiak +5
Future planetary exploration missions demand high-performance, fault-tolerant computing to enable autonomous Guidance, Navigation, and Control (GNC) and Lander Vision System (LVS)…
Development and Application of Self-Supervised Machine Learning for Smoke Plume and Active Fire Identification from the FIREX-AQ Datasets
Nicholas LaHaye, Anistasija Easley, Kyongsik Yun +4
Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ) was a field campaign aimed at better understanding the impact of wildfires and agricultural fires on ai…
Remote estimation of geologic composition using interferometric synthetic-aperture radar in California's Central Valley
Kyongsik Yun, Kyra Adams, John Reager +4
California's Central Valley is the national agricultural center, producing 1/4 of the nation's food. However, land in the Central Valley is sinking at a rapid rate (as much as 20 c…
Neurosymbolic hybrid approach to driver collision warning
Kyongsik Yun, Thomas Lu, Alexander Huyen +2
There are two main algorithmic approaches to autonomous driving systems: (1) An end-to-end system in which a single deep neural network learns to map sensory input directly into ap…
Machine Learning Based Relative Orbit Transfer for Swarm Spacecraft Motion Planning
Alex Sabol, Kyongsik Yun, Muhammad Adil +2
In this paper we describe a machine learning based framework for spacecraft swarm trajectory planning. In particular, we focus on coordinating motions of multi-spacecraft in format…
Explainability Tools Enabling Deep Learning in Future In-Situ Real-Time Planetary Explorations
Daniel Lundstrom, Alexander Huyen, Arya Mevada +2
Deep learning (DL) has proven to be an effective machine learning and computer vision technique. DL-based image segmentation, object recognition and classification will aid many in…