scholarly journals 2D Relative Pose and Scale Estimation with Monocular Cameras and Ranging

Navigation ◽  
2018 ◽  
Vol 65 (1) ◽  
pp. 25-33
Author(s):  
Chen Zhu ◽  
Gabriele Giorgi ◽  
Christoph Günther
Keyword(s):  
Scale Estimation ◽  
Relative Pose

scholarly journals Global submesoscale Transition Scale estimation using alongtrack satellite altimetry

2020 ◽  
Author(s):  
Oscar Vergara ◽  
Rosemary Anne Morrow ◽  
M-Isabelle Pujol ◽  
Gérald Dibarboure ◽  
Clement Ubelmann
Keyword(s):  
Satellite Altimetry ◽  
Scale Estimation

A city-scale estimation of rooftop solar photovoltaic potential based on deep learning

2021 ◽  
Vol 298 ◽  
pp. 117132
Author(s):  
Teng Zhong ◽  
Zhixin Zhang ◽  
Min Chen ◽  
Kai Zhang ◽  
Zixuan Zhou ◽  
...  
Keyword(s):  
Deep Learning ◽  
Solar Photovoltaic ◽  
Scale Estimation ◽  
Rooftop Solar

Large-scale estimation of buildings’ thermal load using LiDAR data

2021 ◽  
Vol 231 ◽  
pp. 110626
Author(s):  
Marko Bizjak ◽  
Borut Žalik ◽  
Gorazd Štumberger ◽  
Niko Lukač
Keyword(s):  
Thermal Load ◽  
Large Scale ◽  
Lidar Data ◽  
Scale Estimation

scholarly journals Multiple relative pose graphs for robust cooperative mapping

2010 ◽  
Author(s):  
Been Kim ◽  
Michael Kaess ◽  
Luke Fletcher ◽  
John Leonard ◽  
Abraham Bachrach ◽  
...  
Keyword(s):  
Relative Pose

Adaptive motion selection for online hand–eye calibration

Robotica ◽  
2007 ◽  
Vol 25 (5) ◽  
pp. 529-536
Author(s):  
Jing Zhang ◽  
Fanhuai Shi ◽  
Yuncai Liu
Keyword(s):  
Motion Planning ◽  
Dynamic Threshold ◽  
Selection Algorithm ◽  
Robot System ◽  
End Effector ◽  
Threshold Determination ◽  
Robot Gripper ◽  
Adaptive Motion ◽  
Selection For ◽  
Relative Pose

SUMMARYWhile a robot moves, online hand–eye calibration to determine the relative pose between the robot gripper/end-effector and the sensors mounted on it is very important in a vision-guided robot system. During online hand–eye calibration, it is impossible to perform motion planning to avoid degenerate motions and small rotations, which may lead to unreliable calibration results. This paper proposes an adaptive motion selection algorithm for online hand–eye calibration, featured by dynamic threshold determination for motion selection and getting reliable hand–eye calibration results. Simulation and real experiments demonstrate the effectiveness of our method.

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