- Article
(1140 KB) - Metadata XML
- November 08, 2024
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLI-B3
https://doi.org/10.5194/isprs-archives-XLI-B3-465-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/isprs-archives-XLI-B3-465-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
09 Jun 2016
PEDESTRIAN DETECTION BY LASER SCANNING AND DEPTH IMAGERY
Budapest University of Technology and Economics (BME), Dept. of Photogrammetry and Geoinformatics, Hungary
T. Lovas
Budapest University of Technology and Economics (BME), Dept. of Photogrammetry and Geoinformatics, Hungary
B. Molnar
Budapest University of Technology and Economics (BME), Dept. of Photogrammetry and Geoinformatics, Hungary
A. Somogyi
Budapest University of Technology and Economics (BME), Dept. of Photogrammetry and Geoinformatics, Hungary
Z. Igazvolgyi
BME, Dept. of Highway and Railway Engineering, Hungary
Related authors
Hussein Abdulmuttalib, Mulhim Al Doori, Árpád Barsi, Thomas Blaschke, Yunya Gao, Zsofia Kugler, Stefan Lang, Gyorgy Szabo, and Dirk Tiede
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 1–11, https://doi.org/10.5194/isprs-annals-X-3-2024-1-2024, https://doi.org/10.5194/isprs-annals-X-3-2024-1-2024, 2024
J. M. Lógó and A. Barsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 835–840, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-835-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-835-2023, 2023
V. Horváth and A. Barsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 895–900, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-895-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-895-2023, 2023
M. Fawzy, G. Szabó, and A. Barsi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 57–64, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-57-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-57-2023, 2023
J. M. Lógó and A. Barsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 383–388, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-383-2022, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-383-2022, 2022
M. Barsi and A. Barsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 343–348, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-343-2022, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-343-2022, 2022
M. Barsi and A. Barsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2021, 9–14, https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-9-2021, https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-9-2021, 2021
J. M. Lógó, N. Krausz, V. Potó, and A. Barsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2021, 389–394, https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-389-2021, https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-389-2021, 2021
A. Barsi, A. Csepinszky, N. Krausz, H. Neuberger, V. Poto, and V. Tihanyi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W16, 41–45, https://doi.org/10.5194/isprs-archives-XLII-2-W16-41-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W16-41-2019, 2019
Z. Kugler, G. Szabó, H. M. Abdulmuttalib, C. Batini, H. Shen, A. Barsi, and G. Huang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 315–320, https://doi.org/10.5194/isprs-archives-XLII-4-315-2018, https://doi.org/10.5194/isprs-archives-XLII-4-315-2018, 2018
V. Potó, A. Csepinszky, and Á. Barsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 917–921, https://doi.org/10.5194/isprs-archives-XLII-2-917-2018, https://doi.org/10.5194/isprs-archives-XLII-2-917-2018, 2018
F. Albrecht, T. Blaschke, S. Lang, H. M. Abdulmutalib, G. Szabó, Á. Barsi, C. Batini, A. Bartsch, Zs. Kugler, D. Tiede, and G. Huang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 15–22, https://doi.org/10.5194/isprs-archives-XLII-3-15-2018, https://doi.org/10.5194/isprs-archives-XLII-3-15-2018, 2018
Á. Barsi, Zs. Kugler, I. László, Gy. Szabó, and H. M. Abdulmutalib
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 61–67, https://doi.org/10.5194/isprs-archives-XLII-3-61-2018, https://doi.org/10.5194/isprs-archives-XLII-3-61-2018, 2018
Ákos Török, Árpád Barsi, Gyula Bögöly, Tamás Lovas, Árpád Somogyi, and Péter Görög
Nat. Hazards Earth Syst. Sci., 18, 583–597, https://doi.org/10.5194/nhess-18-583-2018, https://doi.org/10.5194/nhess-18-583-2018, 2018
Short summary
Short summary
The present study demonstrates the application of drones and terrestrial laser scanner in stability assessment of steep, hardly accessible rock slopes that can endanger human lives. These technologies can be deployed very quickly, but data processing requires time. For reliable hazard evaluation, besides these techniques, engineering geological field work, laboratory tests of the mechanical properties of rocks and computer simulations are also necessary.
N. Rehany, A. Barsi, and T. Lovas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 213–220, https://doi.org/10.5194/isprs-archives-XLII-2-W8-213-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-213-2017, 2017
C. Batini, T. Blaschke, S. Lang, F. Albrecht, H. M. Abdulmutalib, Á. Barsi, G. Szabó, and Zs. Kugler
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 447–453, https://doi.org/10.5194/isprs-archives-XLII-2-W7-447-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-447-2017, 2017
Hussein Abdulmuttalib, Mulhim Al Doori, Árpád Barsi, Thomas Blaschke, Yunya Gao, Zsofia Kugler, Stefan Lang, Gyorgy Szabo, and Dirk Tiede
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 1–11, https://doi.org/10.5194/isprs-annals-X-3-2024-1-2024, https://doi.org/10.5194/isprs-annals-X-3-2024-1-2024, 2024
J. M. Lógó and A. Barsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 835–840, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-835-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-835-2023, 2023
V. Horváth and A. Barsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 895–900, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-895-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-895-2023, 2023
M. Fawzy, G. Szabó, and A. Barsi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 57–64, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-57-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-57-2023, 2023
J. M. Lógó and A. Barsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 383–388, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-383-2022, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-383-2022, 2022
M. Barsi and A. Barsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 343–348, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-343-2022, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-343-2022, 2022
M. Barsi and A. Barsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2021, 9–14, https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-9-2021, https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-9-2021, 2021
J. M. Lógó, N. Krausz, V. Potó, and A. Barsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2021, 389–394, https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-389-2021, https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-389-2021, 2021
A. Barsi, A. Csepinszky, N. Krausz, H. Neuberger, V. Poto, and V. Tihanyi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W16, 41–45, https://doi.org/10.5194/isprs-archives-XLII-2-W16-41-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W16-41-2019, 2019
Z. Kugler, G. Szabó, H. M. Abdulmuttalib, C. Batini, H. Shen, A. Barsi, and G. Huang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 315–320, https://doi.org/10.5194/isprs-archives-XLII-4-315-2018, https://doi.org/10.5194/isprs-archives-XLII-4-315-2018, 2018
V. Potó, A. Csepinszky, and Á. Barsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 917–921, https://doi.org/10.5194/isprs-archives-XLII-2-917-2018, https://doi.org/10.5194/isprs-archives-XLII-2-917-2018, 2018
F. Albrecht, T. Blaschke, S. Lang, H. M. Abdulmutalib, G. Szabó, Á. Barsi, C. Batini, A. Bartsch, Zs. Kugler, D. Tiede, and G. Huang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 15–22, https://doi.org/10.5194/isprs-archives-XLII-3-15-2018, https://doi.org/10.5194/isprs-archives-XLII-3-15-2018, 2018
Á. Barsi, Zs. Kugler, I. László, Gy. Szabó, and H. M. Abdulmutalib
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 61–67, https://doi.org/10.5194/isprs-archives-XLII-3-61-2018, https://doi.org/10.5194/isprs-archives-XLII-3-61-2018, 2018
Ákos Török, Árpád Barsi, Gyula Bögöly, Tamás Lovas, Árpád Somogyi, and Péter Görög
Nat. Hazards Earth Syst. Sci., 18, 583–597, https://doi.org/10.5194/nhess-18-583-2018, https://doi.org/10.5194/nhess-18-583-2018, 2018
Short summary
Short summary
The present study demonstrates the application of drones and terrestrial laser scanner in stability assessment of steep, hardly accessible rock slopes that can endanger human lives. These technologies can be deployed very quickly, but data processing requires time. For reliable hazard evaluation, besides these techniques, engineering geological field work, laboratory tests of the mechanical properties of rocks and computer simulations are also necessary.
N. Rehany, A. Barsi, and T. Lovas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 213–220, https://doi.org/10.5194/isprs-archives-XLII-2-W8-213-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-213-2017, 2017
C. Batini, T. Blaschke, S. Lang, F. Albrecht, H. M. Abdulmutalib, Á. Barsi, G. Szabó, and Zs. Kugler
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 447–453, https://doi.org/10.5194/isprs-archives-XLII-2-W7-447-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-447-2017, 2017
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
Useful Links
Useful External Links
Our Contact
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org