Datasets
Open Access
AI4Mobile Industrial Wireless Datasets: iV2V and iV2I+
- Citation Author(s):
- Submitted by:
- Rodrigo Hernangomez
- Last updated:
- Mon, 04/15/2024 - 08:19
- DOI:
- 10.21227/04ta-v128
- Data Format:
- Link to Paper:
- Links:
- License:
- Categories:
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Abstract
This dataset provides wireless measurements from two industrial testbeds: iV2V (industrial Vehicle-to-Vehicle) and iV2I+ (industrial Vehicular-to-Infrastructure plus sensor).
iV2V covers 10h of sidelink communication scenarios between 3 Automated Guided Vehicles (AGVs), while iV2I+ was conducted for around 16h at an industrial site where an autonomous cleaning robot is connected to a private cellular network.
The data includes information on physical layer parameters (such as signal strength and signal quality), wireless Quality of Service (QoS) like delay and throughput, and positioning information.
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, QoS prediction or link selection, among others.
The parquet files for the respective datasets can be directly downloaded and read with Python using Pandas and parquet support via PyArrow or Fastparquet.
For detailed instructions, please refer to the readme.pdf or the available documentation on GitHub.
Dataset Files
- iV2Ip-sources
- iV2Ip-sources.zip (1.27 GB)
- raw
- minipc.zip (4.63 GB)
- sensors
- ai4mobile_2021-12-14-13-55-41.bag (5.53 GB)
- ai4mobile_2021-12-14-14-28-31.bag (13.25 GB)
- ai4mobile_2021-12-14-15-30-44.bag (4.57 GB)
- ai4mobile_2021-12-14-16-01-41.bag (9.17 GB)
- ai4mobile_2021-12-14-16-38-08.bag (493.12 MB)
- ai4mobile_2021-12-14-16-43-41.bag (6.44 GB)
- run1_2021-12-16-09-28-32_0.bag (5.88 GB)
- run1_2021-12-16-09-48-43_1.bag (6.01 GB)
- run1_2021-12-16-10-09-05_2.bag (5.77 GB)
- run1_2021-12-16-10-28-32_3.bag (5.91 GB)
- run1_2021-12-16-10-49-05_4.bag (5.90 GB)
- run1_2021-12-16-11-08-33_5.bag (5.97 GB)
- run1_2021-12-16-11-29-05_6.bag (5.93 GB)
- run1_2021-12-16-11-48-53_7.bag (5.99 GB)
- run1_2021-12-16-12-08-56_8.bag (6.02 GB)
- run1_2021-12-16-12-28-56_9.bag (2.92 GB)
- run2_2021-12-15-10-31-56.bag (4.48 GB)
- run2_2021-12-15-10-47-40.bag (8.53 GB)
- run2_2021-12-16-12-43-44_0.bag (5.79 GB)
- run2_2021-12-16-13-04-15_1.bag (5.98 GB)
- run2_2021-12-16-13-24-16_2.bag (5.90 GB)
- run2_2021-12-16-13-43-59_3.bag (5.89 GB)
- run2_2021-12-16-14-04-15_4.bag (6.03 GB)
- run2_2021-12-16-14-23-48_5.bag (6.02 GB)
- run2_2021-12-16-14-44-16_6.bag (6.00 GB)
- run2_2021-12-16-15-04-16_7.bag (1.17 GB)
- run3_2021-12-15-11-24-27_0.bag (4.10 GB)
- run4_2021-12-15-11-39-37_0.bag (8.17 GB)
- run5_2021-12-15-12-16-04_0.bag (8.21 GB)
- run6_2021-12-15-12-49-09_0.bag (8.93 GB)
- run6_2021-12-15-13-20-28_1.bag (8.58 GB)
- run6_2021-12-15-13-50-35_2.bag (8.77 GB)
- run6_2021-12-15-14-19-19_3.bag (8.91 GB)
- run6_2021-12-15-14-50-37_4.bag (1.45 GB)
- run7_2021-12-15-15-54-20_0.bag (2.81 GB)
- run8_2021-12-15-16-10-38_0.bag (5.65 GB)
- run8_2021-12-15-16-30-49_1.bag (5.86 GB)
- run8_2021-12-15-16-52-10_2.bag (5.77 GB)
- run8_2021-12-15-17-11-19_3.bag (5.68 GB)
- run8_2021-12-15-17-30-43_4.bag (5.66 GB)
- run8_2021-12-15-17-51-34_5.bag (5.56 GB)
- run8_2021-12-15-18-12-14_6.bag (4.40 GB)
- test_2021-12-15-10-11-09.bag (3.62 GB)
- server.zip (2.57 GB)
- iV2Ip.parquet (10.69 MB)
- iV2Ip_info.csv (10.67 kB)
- iV2V-sources
- iV2V-sources.zip (216.49 MB)
- raw
- localization.zip (11.47 MB)
- sidelink_1.zip (8.91 GB)
- sidelink_2.zip (8.64 GB)
- sidelink_3.zip (11.08 GB)
- iV2V.parquet (45.25 MB)
- iV2V_info.csv (2.22 kB)
Documentation
Attachment | Size |
---|---|
readme.pdf | 939.51 KB |