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Detección de Automóviles en Escenarios Urbanos Escaneados por un Lidar

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Detección de Automóviles en Escenarios Urbanos Escaneados por un Lidar

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Ramírez Pedraza, A.; González Barbosa, JJ.; Ornelas Rodríguez, FJ.; García Moreno, ÁI.; Salazar Garibay, A.; González Barbosa, EA. (2015). Detección de Automóviles en Escenarios Urbanos Escaneados por un Lidar. Revista Iberoamericana de Automática e Informática industrial. 12(2):189-198. https://doi.org/10.1016/j.riai.2015.03.003

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/143818

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Title: Detección de Automóviles en Escenarios Urbanos Escaneados por un Lidar
Secondary Title: Vehicle Detection in Urban Environments Scanned by a Lidar
Author: Ramírez Pedraza, Alfonso González Barbosa, José Joel Ornelas Rodríguez, Francisco Javier García Moreno, Ángel Iván Salazar Garibay, Adan González Barbosa, Erick Alejandro
Issued date:
Abstract:
[ES] En este trabajo se desarrollaron algoritmos computacionales los cuales permiten segmentar y detectar los automóviles que se encuentran dentro de una nube de puntos 3D pertenecientes a un entorno urbano. Las nubes son ...[+]


[EN] Detection of vehicles on 3D point clouds is performed by using the algorithm presented in this work. Point clouds correspond to urban environments and were acquired with the LIDAR Velodyne HDL-64E. The environment is ...[+]
Subjects: 3D point cloud , LIDAR , 3D Segmentation , Nube de Puntos 3D , Segmentación 3D
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Revista Iberoamericana de Automática e Informática industrial. (issn: 1697-7912 ) (eissn: 1697-7920 )
DOI: 10.1016/j.riai.2015.03.003
Publisher:
Universitat Politècnica de València
Publisher version: https://doi.org/10.1016/j.riai.2015.03.003
Project ID:
info:eu-repo/grantAgreement/IPN//20144623/
info:eu-repo/grantAgreement/CONACyT//SEP-2005-O1-51004%2F25293%2FCVU
Thanks:
Los autores desean agradecer el apoyo financiero recibido durante el desarrollo de este trabajo al Consejo Nacional de Ciencia y Tecnología (CONACYT) a través del proyecto SEP- 2005-O1-51004 / 25293 y el numero de CVU ...[+]
Type: Artículo

References

Atanacio-Jiménez, G., González-Barbosa, J.-J., Hurtado-Ramos, J. B., Ornelas-Rodríguez, F. J., Jiménez-Hernández, H., García-Ramirez, T., & González-Barbosa, R. (2011). LIDAR Velodyne HDL-64E Calibration Using Pattern Planes. International Journal of Advanced Robotic Systems, 8(5), 59. doi:10.5772/50900

Barnea, S., & Filin, S. (2008). Keypoint based autonomous registration of terrestrial laser point-clouds. ISPRS Journal of Photogrammetry and Remote Sensing, 63(1), 19-35. doi:10.1016/j.isprsjprs.2007.05.005

BIPM, 2008. Evaluation of measurement dataguide to the expression of uncertainty in measurement. JCGM 100. [+]
Atanacio-Jiménez, G., González-Barbosa, J.-J., Hurtado-Ramos, J. B., Ornelas-Rodríguez, F. J., Jiménez-Hernández, H., García-Ramirez, T., & González-Barbosa, R. (2011). LIDAR Velodyne HDL-64E Calibration Using Pattern Planes. International Journal of Advanced Robotic Systems, 8(5), 59. doi:10.5772/50900

Barnea, S., & Filin, S. (2008). Keypoint based autonomous registration of terrestrial laser point-clouds. ISPRS Journal of Photogrammetry and Remote Sensing, 63(1), 19-35. doi:10.1016/j.isprsjprs.2007.05.005

BIPM, 2008. Evaluation of measurement dataguide to the expression of uncertainty in measurement. JCGM 100.

Brostow, G.J., Shotton, J., Fauqueur, J., Cipolla, R., 2008. Segmentation and recognition using structure from motion point clouds. En: European Conference on Computer Vision, (ECCV).

García-Moreno, A. ., Gonzalez-Barbosa, J. ., Ornelas-Rodríguez, F. ., Hurtado- Ramos, J. ., Ramirez-Pedraza, A., González-Barbosa, E. ., 2013. Automatic 3d city reconstruction platform using a lidar and dgps. Vol. 7629. LNAI of Lecture Notes in Computer Science. pp. 285-297.

Golovinskiy, A., Kim, V.G., Funkhouser, T., 2009. Shape-based recognition of 3D point clouds in urban environments. En: International Conference on Computer Vision (ICCV).

Himmelsbach, M., Luettel, T., Wuensche, H.-J., 2009. Real-Time Object Classification in 3D Point Clouds Using Point Feature Histograms. En: Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS. St. Louis, MO, USA, pp. 994-1000.

Lai, K., & Fox, D. (2010). Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation. The International Journal of Robotics Research, 29(8), 1019-1037. doi:10.1177/0278364910369190

Luber, M., 2013. People tracking under social constraints. Ph.D. thesis, Universitätsbibliothek Freiburg.

Park, S. H., Goo, J. M., & Jo, C.-H. (2004). Receiver Operating Characteristic (ROC) Curve: Practical Review for Radiologists. Korean Journal of Radiology, 5(1), 11. doi:10.3348/kjr.2004.5.1.11

Schnabel, R., Wahl, R., Klein, R., 2007. Efficient ransac for point-cloud shape detection. En: Computer graphics forum. Vol. 26. Wiley Online Library, pp. 214-226.

Sun, S., & Salvaggio, C. (2013). Aerial 3D Building Detection and Modeling From Airborne LiDAR Point Clouds. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(3), 1440-1449. doi:10.1109/jstars.2013.2251457

Truong, H.Q., Hmida, H.B., Marbs, A., Boochs, F., 2010. Integration of knowledge into the detection of objects in point clouds. En: Paparoditis, N., Pierrot-Deseilligny, M., Mallet, C., Tournaire, O. (Eds.), Proceedings of the ISPRS Commission III symposium - PCV. Vol. 38. of International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. pp. 143-148.

Wang, C.-C., Thorpe, C., Suppe, A., 2003. LADAR-based detection and tracking of moving objects from a ground vehicle at high speeds. En: Intelligent Vehicle Symposium IEEE.

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