Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Seyed Majid Azimi"'
Autor:
Saket Kunwar, Hongyu Chen, Manhui Lin, Hongyan Zhang, Pablo D'Angelo, Daniele Cerra, Seyed Majid Azimi, Myron Brown, Gregory Hager, Naoto Yokoya, Ronny Hansch, Bertrand Le Saux
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 922-935 (2021)
In this article, we present the scientific outcomes of the 2019 Data Fusion Contest organized by the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society. The 2019 Contest addressed the problem of 3-D r
Externí odkaz:
https://doaj.org/article/2935c93976974e42b44459b15b005e5c
Publikováno v:
Remote Sensing, Vol 13, Iss 10, p 1953 (2021)
In this paper, we address various challenges in multi-pedestrian and vehicle tracking in high-resolution aerial imagery by intensive evaluation of a number of traditional and Deep Learning based Single- and Multi-Object Tracking methods. We also desc
Externí odkaz:
https://doaj.org/article/b2ee453fae234112b8cb02d4480a95bf
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 8, Iss 1, p 47 (2019)
The 3D information of road infrastructures is growing in importance with the development of autonomous driving. In this context, the exact 2D position of road markings as well as height information play an important role in, e.g., lane-accurate self-
Externí odkaz:
https://doaj.org/article/04baaf9774994bf6bf455feb4169fd20
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 7, Iss 12, p 458 (2018)
The upraise of autonomous driving technologies asks for maps characterized bya broad range of features and quality parameters, in contrast to traditional navigation maps which in most cases are enriched graph-based models. This paper tackles several
Externí odkaz:
https://doaj.org/article/e1c87ff14f2148a5b722c74677bbe70b
Autor:
Reza Bahmanyar, Corentin Henry, Seyed Majid Azimi, Ralph Kiefl, Veronika Gstaiger, Nina Merkle, Dominik Rosenbaum, Franz Kurz
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2021, Pp 433-440 (2021)
The management of large-scale events with a widely distributed camping area is a special challenge for organisers and security forces and requires both comprehensive preparation and attentive monitoring to ensure the safety of the participants. Cruci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41128d08c00e5cc05eb0c93c202242d1
https://doi.org/10.5194/isprs-archives-xliii-b2-2021-433-2021
https://doi.org/10.5194/isprs-archives-xliii-b2-2021-433-2021
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2021, Pp 479-485 (2021)
Emerging traffic management technologies, smart parking applications, together with transport researchers and urban planners are interested in fine-grained data on parking space in cities. However, there are no standardized, complete and up-to-date d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80520ce28b3afd1e58242f615ac95f0e
https://doi.org/10.5194/isprs-archives-xliii-b2-2021-479-2021
https://doi.org/10.5194/isprs-archives-xliii-b2-2021-479-2021
Autor:
C. Barthel, Veronika Gstaiger, Franz Kurz, Nina Merkle, E. Schröter, Seyed Majid Azimi, U. Kippnich, Pablo d'Angelo
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2020, Pp 1243-1249 (2020)
Regular international civil protection exercises are an important part of the European Civil Protection Mechanism. One such exercise, called IRONORE2019, took place in September 2019 in Eisenerz, Austria, with the aim of training international cooper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff639180a4512b00bf55ec21ffefdc39
https://doi.org/10.5194/isprs-archives-xliii-b3-2020-1243-2020
https://doi.org/10.5194/isprs-archives-xliii-b3-2020-1243-2020
Autor:
Marco Codastefano, Nina Merkle, Veronika Gstaiger, Stefano Cairo, Marc Wieland, Sirio Modugno, Corentin Henry, Seyed Majid Azimi, Anne Schneibel, Xiangtian Yuan, Michael Manalili
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2021, Pp 741-748 (2021)
After a natural disaster or humanitarian crisis, rescue forces and relief organisations are dependent on fast, area-wide and accurate information on the damage caused to infrastructure and the situation on the ground. This study focuses on the assess
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a750646be82ba2fcba5dd036047fa5d5
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2021/741/2021/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2021/741/2021/
Publikováno v:
ICPR
Multi-class vehicle detection from airborne imagery with orientation estimation is an important task in the near and remote vision domains with applications in traffic monitoring and disaster management. In the last decade, we have witnessed signific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38616ae73903bdff02ed447d64f7195c
http://arxiv.org/abs/2007.06124
http://arxiv.org/abs/2007.06124
Autor:
Peter Reinartz, Reza Bahmanyar, Seyed Majid Azimi, Alois Knoll, Maximilian Kraus, Emec Ercelik
Publikováno v:
ICPR
Multi-pedestrian tracking in aerial imagery has several applications such as large-scale event monitoring, disaster management, search-and-rescue missions, and as input into predictive crowd dynamic models. Due to the challenges such as the large num
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e3a0db00fa98a274f05278ab7630faa
http://arxiv.org/abs/2006.15457
http://arxiv.org/abs/2006.15457