The current repository contains real data traces from LiDAR (Robosense Helios 16) and Camera (Logitech C920 HD PRO) sensors which can be used to calibrate the Time-Sensitive Networking (TSN) simulation models. In particular, they serve as input for the simulation models presented in the paper "Cross-Validating Open Source In-Vehicle TSN Simulation Models with COTS Hardware Testebed", accepted for publication in the IEEE Vehicular Networking Conference (VNC 2024).
Files containing a detailed network packet data.
Each record in the .csv files is a tuple (Timestamp, FrameSize, InterFrameGap), which can be used to generate frames with variable sizes and inter-frame gaps in the simulation.
The Timestamp reprsents the time in seconds.
The FrameSize represents the size of the frame measured in bits.
The InterFrameGap represents the time differnece between two consecutive frames measured in seconds.
- camera_datatrace.pcap
(IP.src == 192.168.4.5) - camera_datatrace.csv
- lidar_datatrace.pcap
(IP.src == 192.168.4.200) - lidar_datatrace.csv
© [2024] Luxembourg Institute of Science and Technology.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
If you utilize these data traces, we kindly ask that you refer to the following publication:
@inproceedings{andronovici2024cross,
author = {Andronovici, Darinela and Turcanu, Ion and Bigge, Jannusch and Sommer, Christoph},
title = {{Cross-Validating Open Source In-Vehicle TSN Simulation Models With a COTS Hardware Testbed}},
booktitle = {15th IEEE Vehicular Networking Conference (VNC 2024)},
address = {Kobe, Japan},
month = {May},
note = {to appear},
publisher = {IEEE},
year = {2024},
}For inquiries, assistance, or further information, please feel free to reach out to:
- Ion TURCANU at ion.turcanu@list.lu