Automated camera calibration from laser scanning data in natural environments
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00218830" target="_blank" >RIV/68407700:21230/14:00218830 - isvavai.cz</a>
Result on the web
<a href="https://cyber.felk.cvut.cz/research/theses/papers/494.pdf" target="_blank" >https://cyber.felk.cvut.cz/research/theses/papers/494.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Automated camera calibration from laser scanning data in natural environments
Original language description
We have developed an application for extrinsic camera calibration from the data acquired by the LIDAR scanner. Since the raw range images from the LIDAR scanner do not possess enough detail, we processed the range images to highlight edges and corners and allow the operator to create correspondences between the world points and the image points. We have also developed a technique for local correction of the correspondences in case the operator makes a slight mistake. The application is implemented as anode in Robot Operating System (ROS). We have performed experiments on a mobile robot intended for urban search and rescue. We experimentally show that the application can be used outside the laboratory to quickly calibrate a new camera in the system orrecalibrate an already present camera. That is a big advantage compared to the present tools available in ROS that usually require the use of special calibration patterns and are restricted to the laboratory environment only.
Czech name
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Czech description
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Classification
Type
V<sub>souhrn</sub> - Summary research report
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Number of pages
50
Place of publication
Praha
Publisher/client name
Center for Machine Perception, K13133 FEE, Czech Technical University
Version
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