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- W2068445671 abstract "In this work we present an in-situ method to compute the calibration of two sensors, a LIDAR (Light Detection and Ranging) and a spherical camera. Both sensors are used in urban environment reconstruction tasks. In this scenario the speed at which the various sensors acquire and merge the information is very important; however reconstruction accuracy, which depends on sensors calibration, is also of high relevance. Here, a new calibration pattern, visible to both sensors is proposed. By this means, the correspondence between each laser point and its position in the camera image is obtained so that the texture and color of each LIDAR point can be known. Experimental results for the calibration and uncertainty analysis are presented for data collected by the platform integrated with a LIDAR and a spherical camera. We calibrated two different kinds of sensors, LIDAR and camera.We calculated the uncertainty analysis between both sensors.The performance of the error propagation is computed.We develop a new algorithm to obtain the extrinsic parameters of the LIDAR sensor.A new calibration pattern is used." @default.
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- W2068445671 date "2014-06-01" @default.
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- W2068445671 title "Error propagation and uncertainty analysis between 3D laser scanner and camera" @default.
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- W2068445671 doi "https://doi.org/10.1016/j.robot.2014.02.004" @default.
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