ROAD SEGMENTATION ON LOW RESOLUTION LIDAR POINT CLOUDS FOR AUTONOMOUS VEHICLES

Autor: L. Gigli, B. R. Kiran, T. Paul, A. Serna, N. Vemuri, B. Marcotegui, S. Velasco-Forero

Publikováno v: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2020, Pp 335-342 (2020)

Point cloud datasets for perception tasks in the context of autonomous driving often rely on high resolution 64-layer Light Detection and Ranging (LIDAR) scanners. They are expensive to deploy on real-world autonomous driving sensor architectures whi

Externí odkaz: https://doaj.org/article/2d79bccebf534206be14732f3f58dc87

SHREC'20 track: Retrieval of digital surfaces with similar geometric reliefs

Autor: E. Moscoso Thompson, S. Biasotti, A. Giachetti, C. Tortorici, N. Werghi, A. Shaker, S. Berretti, H. Nguyen-Dinh, M-Q. Le, H-D. Nguyen, M.-T. Tran, L. Gigli, S. Velasco-Forero, B. Marcotegui, I. Sipiran, B. Bustos, I. Romanelis, V. Fotis, G. Arvanitis, K. Moustakas, E. Otu, R. Zwiggelaar, D.Hunter, Y.Liu, Y. Arteaga, R. Luxman

Publikováno v: Computers and Graphics
Computers and Graphics, Elsevier, 2020, 91, pp.199-218. ⟨10.1016/j.cag.2020.07.011⟩
CONCYTEC-Institucional
Consejo Nacional de Ciencia Tecnología e Innovación Tecnológica
instacron:CONCYTEC
Computers & graphics 91 (2020): 199–218. doi:10.1016/j.cag.2020.07.011
info:cnr-pdr/source/autori:E. Moscoso Thompson, S. Biasotti, A. Giachetti, C. Tortorici, N. Werghi, A. Shaker, S. Berretti, H. Nguyen-Dinh, M-Q. Le, H-D. Nguyen, M.-T. Tran, L. Gigli, S. Velasco-Forero, B. Marcotegui, I. Sipiran, B. Bustos, I. Romanelis, V. Fotis, G. Arvanitis, K. Moustakas, E. Otu, R. Zwiggelaar, D.Hunter, Y.Liu, Y. Arteaga, R. Luxman/titolo:SHREC'20 Track: Retrieval of digital surfaces with similar geometric reliefs/doi:10.1016%2Fj.cag.2020.07.011/rivista:Computers & graphics/anno:2020/pagina_da:199/pagina_a:218/intervallo_pagine:199–218/volume:91

International audience; This paper presents the methods that have participated in the SHREC'20 contest on retrieval of surface patches with similar geometric reliefs and 1 the analysis of their performance over the benchmark created for this challeng

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::fa7736dd5f2aea90c36c94b23dc9195f
https://hal.archives-ouvertes.fr/hal-02916788/document

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SHREC'13 Track: Retrieval on Textured 3D Models

Autor: A. Cerri, S. Biasotti, M. Abdelrahman, J. Angulo, K. Berger, L. Chevallier, M. El-Melegy, A. Farag, F. Lefebvre, A. Giachetti, H. Guermoud, Y.-J. Liu, S. Velasco-Forero, JR. Vigouroux, C.-X. Xu, J.-B. Zhang

Publikováno v: Eurographics Workshop on 3D Object Retrieval, pp. 73–80, Girona, Spain, 11 Maggio 2013
info:cnr-pdr/source/autori:A. Cerri, S. Biasotti, M. Abdelrahman, J. Angulo, K. Berger, L. Chevallier, M. El-Melegy, A. Farag, F. Lefebvre, A. Giachetti, H. Guermoud, Y.-J. Liu, S. Velasco-Forero, JR. Vigouroux, C.-X. Xu, and J.-B. Zhang/congresso_nome:Eurographics Workshop on 3D Object Retrieval/congresso_luogo:Girona, Spain/congresso_data:11 Maggio 2013/anno:2013/pagina_da:73/pagina_a:80/intervallo_pagine:73–80

This contribution reports the results of the SHREC 2013 track: Retrieval on Textured 3D Models, whose goal is to evaluate the performance of retrieval algorithms when models vary either by geometric shape or texture, or both. The collection to search

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e79e7b34ee84e27a1e248e7daad3ff73
http://hdl.handle.net/11562/574751

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