Using Machine Learning to Improve Interactive Visualizations for Large Collected Traffic Detector Data

RM Amin, P Hammer, A Butz - … of the 29th International Conference on …, 2024 - dl.acm.org
In traffic engineering, cities rely on large detector datasets to manage traffic. Visualizing
these big, multi-dimensional datasets poses challenges such as overplotting and dimension …

Nested Fusion: A Method for Learning High Resolution Latent Structure of Multi-Scale Measurement Data on Mars

AP Wright, S Davidoff, DH Chau - Proceedings of the 30th ACM SIGKDD …, 2024 - dl.acm.org
The Mars Perseverance Rover represents a generational change in the scale of
measurements that can be taken on Mars, however this increased resolution introduces new …

[HTML][HTML] In-situ map** of monocrystalline regions on Mars

BJ Orenstein, MWM Jones, DT Flannery, AP Wright… - Icarus, 2024 - Elsevier
Elemental quantification instruments for planetary missions provide a capability for in-situ
identification of mineral phases via stoichiometry, an essential step in petrological …

RAMAN: Robust Approaches for Multimodal ANomaly detection in Mars Rover Power Systems

PR Ratadiya, R Alimo, B Kahovec, F Vatan… - AIAA SCITECH 2024 …, 2024 - arc.aiaa.org
This paper proposes RAMAN, a framework of approaches for multimodal anomaly detection
that is robust to different anomaly types, input data, and domain constraints for the Mars …

Can Orbital Servers Provide Mars-Wide Edge Computing?

T Pfandzelter, D Bermbach - Proceedings of the 1st ACM MobiCom …, 2023 - dl.acm.org
Human landing, exploration and settlement on Mars will require local compute resources at
the Mars edge. Landing such resources on Mars is an expensive endeavor. Instead, in this …

Opening the Black Box of 3D Reconstruction Error Analysis with VECTOR

R Fygenson, K Jawad, I Li, F Ayoub… - … and Visual Analytics …, 2024 - ieeexplore.ieee.org
Reconstruction of 3D scenes from 2D images is a technical challenge that impacts domains
from Earth and planetary sciences and space exploration to augmented and virtual reality …