@inproceedings{
 title = {Targetless calibration of a lidar - Perspective camera pair},
 type = {inproceedings},
 year = {2013},
 keywords = {Calibration,Camera,Lidar,Registration},
 id = {4ca504b3-7d7d-3078-b1a1-716ce41a8a0a},
 created = {2018-02-19T06:34:52.513Z},
 file_attached = {false},
 profile_id = {bfbbf840-4c42-3914-a463-19024f50b30c},
 last_modified = {2018-02-19T06:34:52.513Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {A novel method is proposed for the calibration of a camera - 3D lidar pair without the use of any special calibration pattern or point correspondences. The proposed method has no specific assumption about the data source: plain depth information is expected from the lidar scan and a simple perspective camera is used for the 2D images. The calibration is solved as a 2D-3D registration problem using a minimum of one (for extrinsic) or two (for intrinsic-extrinsic) planar regions visible in both cameras. The registration is then traced back to the solution of a non-linear system of equations which directly provides the calibration parameters between the bases of the two sensors. The method has been tested on a large set of synthetic lidar-camera image pairs as well as on real data acquired in outdoor environment. © 2013 IEEE.},
 bibtype = {inproceedings},
 author = {Tamas, L. and Kato, Z.},
 doi = {10.1109/ICCVW.2013.92},
 booktitle = {Proceedings of the IEEE International Conference on Computer Vision}
}

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