Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Tonislav Ivanov"'
Publikováno v:
Applications of Machine Learning 2020.
Conventional microscopy focusing methods perform a time consuming sweep through the Z-axis in order to estimate the focal plane. As an alternative, we developed a deep learning model that predicts in one shot the distance offset to the focal plane fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0a50f356f558eda89e50f26e7973478
https://doi.org/10.1117/12.2568990
https://doi.org/10.1117/12.2568990
Publikováno v:
Applications of Machine Learning 2020.
Low signal to noise ratio (SNR) conditions degrade microscopy imaging quality, which complicates downstream post-processing and analysis. One conventional method to improve SNR by reducing noise is to average a large number of sequentially acquired i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42dfa91d8f7fe0f9dd9c6d89531c302e
https://doi.org/10.1117/12.2568986
https://doi.org/10.1117/12.2568986
Publikováno v:
Oxide-based Materials and Devices XI.
Photometric stereo is a common technique for 3D reconstruction by calculating the surface normals of an object from different illumination angles. The technique is effective to estimate height profile of static objects with large features, but often
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a00acf8d67dd2f6263a0328f53f6acee
https://doi.org/10.1117/12.2555925
https://doi.org/10.1117/12.2555925
Publikováno v:
AIAA Guidance, Navigation, and Control (GNC) Conference.
Future generation of landing craft will autonomously look at the surface during the terminal phase of powered descent and then, in real-time, choose and divert to a safe landing site in order to avoid hazards. Enabling technologies for such capabilit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0af30990625ae378417e88130571bbab
https://doi.org/10.2514/6.2013-5019
https://doi.org/10.2514/6.2013-5019
Autor:
Tonislav Ivanov, Andrew E. Johnson
Publikováno v:
AIAA Guidance, Navigation, and Control Conference.
Capability for precise lunar landing is the goal for future NASA missions. A LIDAR-based terrain relative navigation (TRN) approach lets us achieve this goal and also land under any illumination conditions. Results from field test data showed that th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa12245160cd742685eb51079f846344
https://doi.org/10.2514/6.2011-6578
https://doi.org/10.2514/6.2011-6578
Publikováno v:
PerMIS
Water detection is a critical perception requirement for unmanned ground vehicle (UGV) autonomous navigation over cross-country terrain. Under the Robotics Collaborative Technology Alliances (RCTA) program, the Jet Propulsion Laboratory (JPL) develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41f804c075c9a836b2bf95f6dcb8ca7b
https://doi.org/10.1145/2377576.2377632
https://doi.org/10.1145/2377576.2377632
Publikováno v:
2010 IEEE Aerospace Conference.
In May 2008, the Autonomous Landing and Hazard Avoidance Technology (ALHAT) Project conducted a helicopter field test of a commercial flash lidar to assess its applicability to safe lunar landing. The helicopter flew several flights, which covered a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a42fc015bb3e2af7f777c780b71385ff
https://doi.org/10.1109/aero.2010.5447025
https://doi.org/10.1109/aero.2010.5447025