2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015

Angel Ivan Garcia-Moreno, Jose Joel Gonzalez-Barbosa, Juan B. Hurtado-Ramos, Francisco Javier Ornelas-Rodriguez

Research output: Contribution to conferencePaperResearch

Abstract

© 2015 IEEE. In this paper, we compute the precision with which 3D points, camera orientation, position and calibration are estimated for a laser rangefinder and a multicamera-system. Both sensors are used to digitize urban environments. Errors in the localization of image features introduce errors in the reconstruction. Some algorithms are numerically unstable, intrinsically, or in conjunction to particular setups of points and/or of cameras. A practical methodology is presented to predict the error propagation inside the calibration process between both sensors. Performance charts of the error propagation in the intrinsic camera parameters and the relationship between the laser and the noisy of both sensors were calculated using simulations, an analitical analysis. Results for the calibration, error projection between camera-laser and uncertainty analysis are presented for data collected by the mobile terrestrial platform.
Original languageAmerican English
DOIs
StatePublished - 9 Oct 2015
Externally publishedYes
Eventconference -
Duration: 9 Oct 2015 → …

Conference

Conferenceconference
Period9/10/15 → …

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Telecommunication
Signal processing
Cameras
Calibration
Lasers
Sensors
Range finders
Uncertainty analysis

Cite this

Garcia-Moreno, Angel Ivan ; Gonzalez-Barbosa, Jose Joel ; Hurtado-Ramos, Juan B. ; Ornelas-Rodriguez, Francisco Javier. / 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015. Paper presented at conference, .
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abstract = "{\circledC} 2015 IEEE. In this paper, we compute the precision with which 3D points, camera orientation, position and calibration are estimated for a laser rangefinder and a multicamera-system. Both sensors are used to digitize urban environments. Errors in the localization of image features introduce errors in the reconstruction. Some algorithms are numerically unstable, intrinsically, or in conjunction to particular setups of points and/or of cameras. A practical methodology is presented to predict the error propagation inside the calibration process between both sensors. Performance charts of the error propagation in the intrinsic camera parameters and the relationship between the laser and the noisy of both sensors were calculated using simulations, an analitical analysis. Results for the calibration, error projection between camera-laser and uncertainty analysis are presented for data collected by the mobile terrestrial platform.",
author = "Garcia-Moreno, {Angel Ivan} and Gonzalez-Barbosa, {Jose Joel} and Hurtado-Ramos, {Juan B.} and Ornelas-Rodriguez, {Francisco Javier}",
year = "2015",
month = "10",
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doi = "10.1109/TSP.2015.7296463",
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2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015. / Garcia-Moreno, Angel Ivan; Gonzalez-Barbosa, Jose Joel; Hurtado-Ramos, Juan B.; Ornelas-Rodriguez, Francisco Javier.

2015. Paper presented at conference, .

Research output: Contribution to conferencePaperResearch

TY - CONF

T1 - 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015

AU - Garcia-Moreno, Angel Ivan

AU - Gonzalez-Barbosa, Jose Joel

AU - Hurtado-Ramos, Juan B.

AU - Ornelas-Rodriguez, Francisco Javier

PY - 2015/10/9

Y1 - 2015/10/9

N2 - © 2015 IEEE. In this paper, we compute the precision with which 3D points, camera orientation, position and calibration are estimated for a laser rangefinder and a multicamera-system. Both sensors are used to digitize urban environments. Errors in the localization of image features introduce errors in the reconstruction. Some algorithms are numerically unstable, intrinsically, or in conjunction to particular setups of points and/or of cameras. A practical methodology is presented to predict the error propagation inside the calibration process between both sensors. Performance charts of the error propagation in the intrinsic camera parameters and the relationship between the laser and the noisy of both sensors were calculated using simulations, an analitical analysis. Results for the calibration, error projection between camera-laser and uncertainty analysis are presented for data collected by the mobile terrestrial platform.

AB - © 2015 IEEE. In this paper, we compute the precision with which 3D points, camera orientation, position and calibration are estimated for a laser rangefinder and a multicamera-system. Both sensors are used to digitize urban environments. Errors in the localization of image features introduce errors in the reconstruction. Some algorithms are numerically unstable, intrinsically, or in conjunction to particular setups of points and/or of cameras. A practical methodology is presented to predict the error propagation inside the calibration process between both sensors. Performance charts of the error propagation in the intrinsic camera parameters and the relationship between the laser and the noisy of both sensors were calculated using simulations, an analitical analysis. Results for the calibration, error projection between camera-laser and uncertainty analysis are presented for data collected by the mobile terrestrial platform.

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