no code implementations • 2 May 2024 • Deegan Atha, R. Michael Swan, Abhishek Cauligi, Anne Bettens, Edwin Goh, Dima Kogan, Larry Matthies, Masahiro Ono
The ability to determine the pose of a rover in an inertial frame autonomously is a crucial capability necessary for the next generation of surface rover missions on other planetary bodies.
no code implementations • 11 Jan 2023 • Abhishek Cauligi, R. Michael Swan, Hiro Ono, Shreyansh Daftry, John Elliott, Larry Matthies, Deegan Atha
This GITL operation limits the distance that can be driven in a day to a few hundred meters, which is the distance that the rover can maintain acceptable localization error via relative methods.
no code implementations • 3 Jan 2023 • Shreyansh Daftry, Zhanlin Chen, Yang Cheng, Scott Tepsuporn, Brian Coltin, Ussama Naam, Lanssie Mingyue Ma, Shehryar Khattak, Matthew Deans, Larry Matthies
In previous work, we developed crater detection algorithms for three different sensing modalities.
no code implementations • 18 Mar 2022 • Larry Matthies, Shreyansh Daftry, Scott Tepsuporn, Yang Cheng, Deegan Atha, R. Michael Swan, Sanjna Ravichandar, Masahiro Ono
At the end of each drive, a ground-in-the-loop (GITL) interaction is used to get a position update from human operators in a more global reference frame, by matching images or local maps from onboard the rover to orbital reconnaissance images or maps of a large region around the rover's current position.
1 code implementation • 7 Dec 2020 • Manash Pratim Das, Larry Matthies, Shreyansh Daftry
Thermal infrared cameras are increasingly being used in various applications such as robot vision, industrial inspection and medical imaging, thanks to their improved resolution and portability.
no code implementations • 13 Jun 2018 • Shreyansh Daftry, Yashasvi Agrawal, Larry Matthies
Recently, there have been numerous advances in the development of payload and power constrained lightweight Micro Aerial Vehicles (MAVs).
no code implementations • 9 Jul 2015 • Ilaria Gori, J. K. Aggarwal, Larry Matthies, Michael S. Ryoo
Activity recognition is very useful in scenarios where robots interact with, monitor or assist humans.
1 code implementation • CVPR 2015 • M. S. Ryoo, Brandon Rothrock, Larry Matthies
In this paper, we present a new feature representation for first-person videos.
no code implementations • 20 Jun 2014 • M. S. Ryoo, Thomas J. Fuchs, Lu Xia, J. K. Aggarwal, Larry Matthies
In this paper, we propose a methodology for early recognition of human activities from videos taken with a first-person viewpoint.
no code implementations • CVPR 2013 • Michael S. Ryoo, Larry Matthies
This paper discusses the problem of recognizing interaction-level human activities from a first-person viewpoint.