Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Anup Katake"'
Autor:
Scott Ploen, Jack Aldrich, David Bayard, Leonard Dorsky, Anup Katake, Edward Konefat, Carl Christian Liebe, Joel Shields
Publikováno v:
2023 IEEE Aerospace Conference.
Autor:
Adams, Davis Weaver, Majji, Manoranjan, Stevens, Sarah Urdahl, Tejas Kulkarni, Anup Katake, San, Alejandro, Skulsky, Eli
Publikováno v:
AIAA SCITECH 2022 Forum.
Autor:
Po-Ting Chen, Robert A. Hewitt, Nikolas Trawny, Timothy P. Setterfield, Antonio Teran Espinoza, Anup Katake
Publikováno v:
2021 IEEE Aerospace Conference (50100).
Future lander missions will travel to ambitious, scientifically interesting locations near rough and dangerous terrain. They will need to operate with limited prior information about the terrain, and under varying lighting conditions. Landing safely
Publikováno v:
ResearcherID
An efficient Kalman filter based algorithm has been proposed for the spacecraft attitude estimation problem using a novel split-field-of-view star camera and three-axis rate gyros. The conventional spacecraft attitude algorithm has been modified for
Autor:
Heeyoul Choi, Anup Katake
Publikováno v:
SPIE Proceedings.
To enable autonomous air-to-refueling of manned and unmanned vehicles a robust high speed relative navigation sensor capable of proving high accuracy 3DOF information in diverse operating conditions is required. To help address this problem, StarVisi
Autor:
Anup Katake, Christian Bruccoleri
Publikováno v:
SPIE Proceedings.
A typical configuration of attitude estimation system for a spacecraft consists of multiple star trackers, coupled with gyroscopes and coarse sensors such as Sun or Earth sensors. The combination of these sensors results in high mass, volume and powe
Publikováno v:
Intelligent Robots and Computer Vision XXVII: Algorithms and Techniques.
Increased interest in the exploration of extra terrestrial planetary bodies calls for an increase in the number of spacecraft landing on remote planetary surfaces. Currently, imaging and radar based surveys are used to determine regions of interest a
Publikováno v:
ICASSP
In pattern recognition, data integration is a processing method to combine multiple sources so that the combined result can be more accurate than a single source. Evidence theory is one of the methods that have been successfully applied to the data i
Publikováno v:
PRICAI 2010: Trends in Artificial Intelligence ISBN: 9783642152450
PRICAI
PRICAI
Manifold learning has been successfully used for finding dominant factors (low-dimensional manifold) in a high-dimensional data set. However, most existing manifold learning algorithms only consider one manifold based on one dissimilarity matrix. For
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ecf3cf8333479218d66ed711d66647b
https://doi.org/10.1007/978-3-642-15246-7_37
https://doi.org/10.1007/978-3-642-15246-7_37
Publikováno v:
ICASSP
Sensory data integration is an important task in human brain for multimodal processing as well as in machine learning for multisensor processing. α-integration was proposed by Amari as a principled way of blending multiple positive measures (e.g., s