Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Jared Shamwell"'
Publikováno v:
Sensors, Vol 18, Iss 5, p 1427 (2018)
Aimed at improving size, weight, and power (SWaP)-constrained robotic vision-aided state estimation, we describe our unsupervised, deep convolutional-deconvolutional sensor fusion network, Multi-Hypothesis DeepEfference (MHDE). MHDE learns to intelli
Externí odkaz:
https://doaj.org/article/dcce72542fa14d10ade143f7e9d7e8b4
Autor:
Darsana P. Josyula, Justin D. Brody, David Sekora, Seth M. Rabin, Clifford Bakalian, Matthew D. Goldberg, Adam Hamlin, Donald Perlis, Jesse Silverberg, Jared Shamwell, Timothy C. Clausner, Vincent Hsiao, Chris Maxey
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811593222
IWSDS
IWSDS
Steven Spielberg’s “A.I.” tells the story of two artificial agents: David and Teddy. While David resembles a human child, his companion Teddy is much simpler. Its behavior, however, still suggests a crucial mix of capabilities that stretch the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a81fedd0a170caa950b5d90c1dc02251
https://doi.org/10.1007/978-981-15-9323-9_31
https://doi.org/10.1007/978-981-15-9323-9_31
Publikováno v:
ICAR
Machine learning has emerged as an extraordinary tool for solving many computer vision tasks by extracting and correlating meaningful features from high dimensional inputs in ways that often exceed the best human-derived modeling efforts. However, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::839c0b288cc78cd6ef1b5a751b2727e2
https://doi.org/10.1109/icar46387.2019.8981570
https://doi.org/10.1109/icar46387.2019.8981570
Publikováno v:
Micro- and Nanotechnology Sensors, Systems, and Applications XI.
Robust navigation and orientation under complex conditions is a must for autonomous drones operating in new and varied environments. Creating drones with adequate behaviors can be a challenge from both a training standpoint and a generalization stand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c0135c37afa6e8fceee3b78cefff40f
https://doi.org/10.1117/12.2518551
https://doi.org/10.1117/12.2518551
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 42(10)
While numerous deep approaches to the problem of vision-aided localization have been recently proposed, systems operating in the real world will undoubtedly experience novel sensory states previously unseen even under the most prodigious training reg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfa02efac2317930fefce23a842fec52
https://pubmed.ncbi.nlm.nih.gov/30990417
https://pubmed.ncbi.nlm.nih.gov/30990417
Publikováno v:
IROS
We present an unsupervised deep neural network approach to the fusion of RGB-D imagery with inertial measurements for absolute trajectory estimation. Our network, dubbed the Visual-Inertial-Odometry Learner (VIOLearner), learns to perform visual-iner
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ab668b213932f21b40a1cfa25d471f7
https://doi.org/10.1109/iros.2018.8593573
https://doi.org/10.1109/iros.2018.8593573
Publikováno v:
Sensors, Vol 18, Iss 5, p 1427 (2018)
Sensors (Basel, Switzerland)
Sensors; Volume 18; Issue 5; Pages: 1427
Sensors (Basel, Switzerland)
Sensors; Volume 18; Issue 5; Pages: 1427
Aimed at improving size, weight, and power (SWaP)-constrained robotic vision-aided state estimation, we describe our unsupervised, deep convolutional-deconvolutional sensor fusion network, Multi-Hypothesis DeepEfference (MHDE). MHDE learns to intelli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fe81fe0132586f614b390d27d4f11bb
http://www.mdpi.com/1424-8220/18/5/1427
http://www.mdpi.com/1424-8220/18/5/1427
Publikováno v:
MFI
Due both to the speed and quality of their sensors and restrictive on-board computational capabilities, current state-of-the-art (SOA) size, weight, and power (SWaP) constrained autonomous robotic systems are limited in their abilities to sample, fus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73e2b7a0a202253629f8628714a90dee
https://doi.org/10.1109/mfi.2017.8170407
https://doi.org/10.1109/mfi.2017.8170407
Publikováno v:
ICDL-EPIROB
As the human eyeball saccades across the visual scene, humans maintain egocentric visual positional constancy despite retinal motion identical to an egocentric shift of the scene. Characterizing the underlying biological computations enabling visual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a96a62f1fca7e56bd130e8907498acf3
https://doi.org/10.1109/devlrn.2017.8329823
https://doi.org/10.1109/devlrn.2017.8329823
Autor:
Vernon J. Lawhern, Jared Shamwell, William D. Nothwang, Hyungtae Lee, Amar R. Marathe, Heesung Kwon
Publikováno v:
SPIE Newsroom.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7f3e3eba79829f83b1906fb976f4e51
https://doi.org/10.1117/2.1201607.006632
https://doi.org/10.1117/2.1201607.006632