scholarly journals Precise positioning of tachistoscopic stimuli with Scientific Prototype slide changers

1977 ◽  
Vol 9 (6) ◽  
pp. 569-569
Author(s):  
Jack A. Alford
Keyword(s):  
Scientific Prototype ◽  
Precise Positioning

Precise Positioning for Automotive with Mass Market GNSS Chipsets

2018 ◽  
Author(s):  
Lance de Groot ◽  
Eduardo Infante ◽  
Altti Jokinen ◽  
Brett Kruger ◽  
Laura Norman
Keyword(s):  
Mass Market ◽  
Precise Positioning

A Technique for Rapid and Precise Positioning of Neutron Depth Probes

1966 ◽  
Vol 30 (6) ◽  
pp. 803-804
Author(s):  
N. A. MacGillivray ◽  
Irving Goldberg
Keyword(s):  
Precise Positioning

scholarly journals Robust Filtering Techniques for RTK Positioning in Harsh Propagation Environments

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1250
Author(s):  
Daniel Medina ◽  
Haoqing Li ◽  
Jordi Vilà-Valls ◽  
Pau Closas
Keyword(s):  
Intelligent Transportation Systems ◽  
Robust Statistics ◽  
Real Data ◽  
Transportation Systems ◽  
Global Navigation Satellite Systems ◽  
Mixed Integer ◽  
Robust Filtering ◽  
Precise Positioning ◽  
The Impact ◽  
Filtering Techniques

Global navigation satellite systems (GNSSs) play a key role in intelligent transportation systems such as autonomous driving or unmanned systems navigation. In such applications, it is fundamental to ensure a reliable precise positioning solution able to operate in harsh propagation conditions such as urban environments and under multipath and other disturbances. Exploiting carrier phase observations allows for precise positioning solutions at the complexity cost of resolving integer phase ambiguities, a procedure that is particularly affected by non-nominal conditions. This limits the applicability of conventional filtering techniques in challenging scenarios, and new robust solutions must be accounted for. This contribution deals with real-time kinematic (RTK) positioning and the design of robust filtering solutions for the associated mixed integer- and real-valued estimation problem. Families of Kalman filter (KF) approaches based on robust statistics and variational inference are explored, such as the generalized M-based KF or the variational-based KF, aiming to mitigate the impact of outliers or non-nominal measurement behaviors. The performance assessment under harsh propagation conditions is realized using a simulated scenario and real data from a measurement campaign. The proposed robust filtering solutions are shown to offer excellent resilience against outlying observations, with the variational-based KF showcasing the overall best performance in terms of Gaussian efficiency and robustness.

Precise positioning method for multi-process connecting based on binocular vision

2016 ◽  
Author(s):  
Wei Liu ◽  
Lichao Ding ◽  
Kai Zhao ◽  
Xiao Li ◽  
Ling Wang ◽  
...  
Keyword(s):  
Binocular Vision ◽  
Precise Positioning ◽  
Positioning Method

scholarly journals Precise positioning of mechanisms based on dynamics

2021 ◽  
Vol 1129 (1) ◽  
pp. 012064
Author(s):  
S Y Orekhov ◽  
V M Masyuk ◽  
V S Kuznetsov ◽  
S P Dolgolenko ◽  
K G Kislov
Keyword(s):  
Precise Positioning

Surface-guided radiation therapy for breast cancer: more precise positioning

2021 ◽  
Author(s):  
A. González-Sanchis ◽  
L. Brualla-González ◽  
C. Fuster-Diana ◽  
J. C. Gordo-Partearroyo ◽  
T. Piñeiro-Vidal ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Radiation Therapy ◽  
Precise Positioning
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