Multiple-sensor integration for rapid and high-precision coordinate metrology

Author(s):  
Tzung-Sz Shen ◽  
Jianbing Huang ◽  
Chia-Hsing Menq
2000 ◽  
Vol 5 (2) ◽  
pp. 110-121 ◽  
Author(s):  
Tzung-Sz Shen ◽  
Jianbing Huang ◽  
Chia-Hsiang Menq

2001 ◽  
Vol 1 (2) ◽  
pp. 167-179 ◽  
Author(s):  
Tzung-Sz Shen ◽  
Jianbing Huang ◽  
Chia-Hsiang Menq

Multiple-sensor integration of vision and touch probe sensors has been shown to be a feasible approach for rapid and high-precision coordinate acquisition [Shen, T. S., Huang, J., and Meng, C. H., 2000, “Multiple-sensor integration for rapid and high-precision coordinate metrology,” IEEE/ASME Trans. Mechatron. 5, pp. 110–121]. However, the automation of coordinate measurements is still hindered by unknown surface areas that cannot be digitized using the vision system due to occlusions. It is identified that the estimation and reasoning of unknown surface areas, and automatic sensor planning using multiple sensors are two key issues. In order to advance multiple-sensor integration technologies toward a fully automatic and agile coordinate metrology, information integration algorithms for estimating and reasoning unknown surface areas, and an automatic multiple-sensor planning environment are developed in this paper. Experimental and simulation results are also demonstrated.


Author(s):  
T. Kanand ◽  
G. Kemper ◽  
R. König ◽  
H. Kemper

Abstract. Based on a research program founded by the German Ministry of Traffic and Data Infrastructure, the use of 5G mobile network for modern advanced technologies should be developed and tested. This paper shows the integration of UAS, Multiple Sensor Integration, autonomous UAS Missions and online Geodata handling for the detection of wildfires in a rural region of Saxony / East Germany and the strategy for making use of the upcoming 5G Network. In our project we go a step deeper and combine VIS and Thermal IR cameras in a co-registered way to overlay the images, transfer data of multi-observation poles into a center and perform an automated analysis to detect smoke or hotspots and add to a first estimated localization. The technological advance applied on real project areas means an important step for further applications of UAS and Sensor Fusion Technologies.


1986 ◽  
Vol 25 (3) ◽  
pp. 253380 ◽  
Author(s):  
Amar Mitiche ◽  
J. K. Aggarwal

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