@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}
}

{"_id":{"_str":"534367db54a3d73826000047"},"__v":8,"authorIDs":["545cf47f6aaec20d2300028c","54a4141aa031a7b425000638"],"author_short":["Tamas, L.","Kato, Z."],"bibbaseid":"tamas-kato-targetlesscalibrationofalidarperspectivecamerapair-2013","bibdata":{"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","bibtex":"@inproceedings{\n title = {Targetless calibration of a lidar - Perspective camera pair},\n type = {inproceedings},\n year = {2013},\n keywords = {Calibration,Camera,Lidar,Registration},\n id = {4ca504b3-7d7d-3078-b1a1-716ce41a8a0a},\n created = {2018-02-19T06:34:52.513Z},\n file_attached = {false},\n profile_id = {bfbbf840-4c42-3914-a463-19024f50b30c},\n last_modified = {2018-02-19T06:34:52.513Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n 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.},\n bibtype = {inproceedings},\n author = {Tamas, L. and Kato, Z.},\n doi = {10.1109/ICCVW.2013.92},\n booktitle = {Proceedings of the IEEE International Conference on Computer Vision}\n}","author_short":["Tamas, L.","Kato, Z."],"biburl":"https://bibbase.org/service/mendeley/bfbbf840-4c42-3914-a463-19024f50b30c","bibbaseid":"tamas-kato-targetlesscalibrationofalidarperspectivecamerapair-2013","role":"author","urls":{},"keyword":["Calibration","Camera","Lidar","Registration"],"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"inproceedings","biburl":"https://bibbase.org/service/mendeley/bfbbf840-4c42-3914-a463-19024f50b30c","downloads":0,"keywords":["calibration","camera","lidar","registration"],"search_terms":["targetless","calibration","lidar","perspective","camera","pair","tamas","kato"],"title":"Targetless calibration of a lidar - Perspective camera pair","year":2013,"dataSources":["6J9aJWdRKaq9PiMXr","ya2CyA73rpZseyrZ8"]}