An Accurate 1D Camera Calibration Based on Weighted Similar-Invariant Linear Algorithm

Author(s):  
Lixia Lin ◽  
Lijun Wu ◽  
Songlin Lai ◽  
Zhicong Chen ◽  
Peijie Lin ◽  
...  
2019 ◽  
Vol 2019 (9) ◽  
pp. 374-1-374-6
Author(s):  
Yen-Chou Tai ◽  
Yu-Hsiang Chiu ◽  
Yi-Yu Hsieh ◽  
Yong-Sheng Chen ◽  
Jen-Hui Chuang

2016 ◽  
Vol 7 (2) ◽  
pp. 148-154
Author(s):  
Bimo Satriantoro ◽  
Ni Made Satvika Iswari

Indonesian people have a high interest for public transportation. There are few kind of public transportation, and taxi is one of them. Taxi use taximeter to calculate passanger fares. Taximeters between taxi companies are different in term of results although using the same equation and principle. The total fare from the taximeter is based on equation that includes distance variable, speed of the vehicle, and time variable. People have a problem to choose taxi because of the differnces of taximeter fares and taxi pool. Based on the problem, the solution is an application to help customer to decide choosing taxi. The application will help customer by giving informations about taximeter and carpool form two different company. The informations are based on the distance of the start point and the finish point of the customer and based on the distances of the customer and the carpool of the taxy company that will processed trough the application to calculating the total fares for the customer between two taxi companies. By using algorithm for linear searching, customer will get the informations to help them to decide which taxi the customer will use. Keywords: Linear Algorithm, Taximeter, Google Apps, Choice, Taxi


2013 ◽  
Vol 34 (10) ◽  
pp. 2409-2414 ◽  
Author(s):  
Xian-zhe Meng ◽  
Shao-zhang Niu ◽  
Xiao-mei Wu ◽  
Ye-zhou Li
Keyword(s):  

2009 ◽  
Author(s):  
Nicholas Fung ◽  
Philip David
Keyword(s):  

2021 ◽  
Vol 13 (5) ◽  
pp. 935
Author(s):  
Matthew Varnam ◽  
Mike Burton ◽  
Ben Esse ◽  
Giuseppe Salerno ◽  
Ryunosuke Kazahaya ◽  
...  

SO2 cameras are able to measure rapid changes in volcanic emission rate but require accurate calibrations and corrections to convert optical depth images into slant column densities. We conducted a test at Masaya volcano of two SO2 camera calibration approaches, calibration cells and co-located spectrometer, and corrected both calibrations for light dilution, a process caused by light scattering between the plume and camera. We demonstrate an advancement on the image-based correction that allows the retrieval of the scattering efficiency across a 2D area of an SO2 camera image. When appropriately corrected for the dilution, we show that our two calibration approaches produce final calculated emission rates that agree with simultaneously measured traverse flux data and each other but highlight that the observed distribution of gas within the image is different. We demonstrate that traverses and SO2 camera techniques, when used together, generate better plume speed estimates for traverses and improved knowledge of wind direction for the camera, producing more reliable emission rates. We suggest combining traverses and the SO2 camera should be adopted where possible.


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