Automated Author Profile

Ramos-Cantor, Oscar D.

Robert Bosch GmbH

Current S-Index

0.5

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.5

Average Dataset Index per dataset

Total Datasets

1

Total datasets for this author

Average FAIR Score

57.7%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

AI4Mobile Industrial Datasets: iV2V and iV2I+

 This dataset provides wireless measurements from two industrial testbeds: iV2V (industrial Vehicle-to-Vehicle) and iV2I+ (industrial Vehicular-to-Infrastructure plus sensor). iV2V covers sidelink communication scenarios between Automated Guided Vehicles (AGVs), while iV2I+ was conducted at an industrial setting where an autonomous cleaning robot is connected to a private cellular network. The datasets are labelled and pre-filtered for a fast on-boarding and applicability. The common measurement methodology to both datasets pursues an application to Machine Learning (ML) for tasks such as fingerprinting, line-of-sight detection, prediction of quality of service or link selection, among others. 

Authors

  • Hernangomez, Rodrigo ;
  • Palaios, Alexandros ;
  • Watermann, Cara ;
  • Schäufele, Daniel ;
  • Geuer, Philipp ;
  • Ismayilov, Rafail ;
  • Parvini, Mohammad ;
  • Krause, Anton ;
  • Kasparick, Martin ;
  • Neugebauer, Thomas ;
  • Ramos-Cantor, Oscar D. ;
  • Tchouankem, Hugues ;
  • Leon Calvo, Jose ;
  • Chen, Bo ;
  • Stanczak, Slawomir ;
  • Fettweis, Gerhard
0 Citations0 Mentions58% FAIR0.5 Dataset Index
10.21227/04ta-v1282022