Materials Map

Discover the materials research landscape. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

×

Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Kujawa, Paulina

  • Google
  • 4
  • 10
  • 12

Wrocław University of Science and Technology

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2024Design of structured meshes of mining excavations based on variability trends of real point clouds from laser scanning for numerical airflow modeling2citations
  • 2024Comparison of TLS and SLAM technologies for 3D reconstruction of objects with different geometries1citations
  • 2023DESIGNING AND EVALUATING A PORTABLE LIDAR-BASED SLAM SYSTEM8citations
  • 2021Some Remarks on Registration Techniques of Point Clouds Obtained from Terrestrial Laser Scanning1citations

Places of action

Chart of shared publication
Ziętek, Bartłomiej
1 / 1 shared
Wodecki, Jacek
1 / 2 shared
Wróblewski, Adam
1 / 2 shared
Trybała, Paweł
2 / 3 shared
Szrek, Aleksandra
1 / 1 shared
Romańczukiewicz, Kinga
1 / 1 shared
Romańczukiewicz, K.
1 / 1 shared
Remondino, Fabio
1 / 3 shared
Szrek, A.
1 / 1 shared
Muszyński, Zbigniew
1 / 2 shared
Chart of publication period
2024
2023
2021

Co-Authors (by relevance)

  • Ziętek, Bartłomiej
  • Wodecki, Jacek
  • Wróblewski, Adam
  • Trybała, Paweł
  • Szrek, Aleksandra
  • Romańczukiewicz, Kinga
  • Romańczukiewicz, K.
  • Remondino, Fabio
  • Szrek, A.
  • Muszyński, Zbigniew
OrganizationsLocationPeople

article

Comparison of TLS and SLAM technologies for 3D reconstruction of objects with different geometries

  • Kujawa, Paulina
  • Trybała, Paweł
  • Szrek, Aleksandra
  • Romańczukiewicz, Kinga
Abstract

<jats:title>Abstract</jats:title><jats:p>Technological advances have made the 3D mapping process easily available and simpler. However, there are still aspects that need to be improved and enhanced. The efficient acquisition of 3D data and reconstruction of objects with high accuracy continues to be a challenge for the scientific community. One of the most frequently used 3D mapping methods is Terrestrial Laser Scanning (TLS), which allows the collection of high-resolution and precise data. Another method gaining popularity among researchers and professionals is mobile scanning technology, which enables real-time data capture. Its mobility and speed make it an effective alternative to traditional scanning technologies. This article compares two mapping technologies: SLAM (Simultaneous Localization and Mapping) and TLS taking into account the technical aspects of the instruments, processing methods, time and cost, and concluding with an assessment of the final accuracy. The geometry of several selected objects was analyzed. The resulting root mean square error (RMSE) for the compared distances on the two point clouds was 5 cm, which proves that the SLAM technology can be successfully applied for scenarios requiring centimeter-level accuracy.</jats:p>

Topics
  • impedance spectroscopy
  • mobility