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biblio.bib
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% https://link.springer.com/chapter/10.1007/978-3-642-12331-3_3
% mastersthesis{valeriothesis,
% title = {{Performance evaluation of Tele-Operated Driving service in 5G mobile network}},
% author = {Valerio Cislaghi},
% year = 2022,
% school = {University of Milan},
% type = {Master's thesis}
% }
@INPROCEEDINGS{valeriopaper,
author={Cislaghi, Valerio and Quadri, Christian and Mancuso, Vincenzo and Marsan, Marco Ajmone},
booktitle={2023 IEEE Vehicular Networking Conference (VNC)},
title={{Simulation of Tele-Operated Driving over 5G Using CARLA and OMNeT++}},
year={2023},
volume={},
number={},
pages={81-88},
keywords={5G mobile communication;Shape;Simulation;Bandwidth;Data transfer;Data models;Real-time systems;Tele-Operated Driving;5G Radio Access Network;Simulation;CARLA;OMNeT++},
doi={10.1109/VNC57357.2023.10136340}}
% https://portal.etsi.org/webapp/workprogram/Report_WorkItem.asp?WKI_ID=69932
@techreport{ETSITS138300,
author = {{ETSI}},
type = {Standard},
key = {ETSI TS 138 300},
month = feb,
year = {2024},
title = {{3GPP TS 38.300 version 15.16.0 Release 15}},
address = {Sophia-Antipolis, France},
institution = {European Telecommunications Standards Institute}
}
%https://ieeexplore.ieee.org/document/9211504
@ARTICLE{9211504,
author={Nardini, Giovanni and Sabella, Dario and Stea, Giovanni and Thakkar, Purvi and Virdis, Antonio},
journal={IEEE Access},
title={{Simu5G–An OMNeT++ Library for End-to-End Performance Evaluation of 5G Networks}},
year={2020},
volume={8},
number={},
pages={181176-181191},
keywords={5G mobile communication;Object oriented modeling;Libraries;Protocols;Computational modeling;Performance evaluation;Real-time systems;Computer simulation;object-oriented modeling;computer networks;5G mobile communication},
doi={10.1109/ACCESS.2020.3028550}}
@Inbook{OmnetVarga2010,
author="Varga, Andras",
editor="Wehrle, Klaus
and G{\"u}ne{\c{s}}, Mesut
and Gross, James",
title="OMNeT++",
bookTitle="Modeling and Tools for Network Simulation",
year="2010",
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="35--59",
abstract="OMNeT++ (www.omnetpp.org) is an extensible, modular, component-based C++ simulation library and framework which also includes an integrated development and a graphical runtime environment. Domain-specific functionality (support for simulation of communication networks, queuing networks, performance evaluation, etc.) is provided by model frameworks, developed as independent projects. There are extensions for real-time simulation, network emulation, support for alternative programming languages (Java, C{\#}), database integration, SystemC integration, HLA and several other functions.",
isbn="978-3-642-12331-3",
doi="10.1007/978-3-642-12331-3_3",
url="https://doi.org/10.1007/978-3-642-12331-3_3"
}
% https://proceedings.mlr.press/v78/dosovitskiy17a.html
@InProceedings{carla-pmlr-v78-dosovitskiy17a,
title = {{CARLA}: {An} Open Urban Driving Simulator},
author = {Dosovitskiy, Alexey and Ros, German and Codevilla, Felipe and Lopez, Antonio and Koltun, Vladlen},
booktitle = {Proceedings of the 1st Annual Conference on Robot Learning},
pages = {1--16},
year = {2017},
editor = {Levine, Sergey and Vanhoucke, Vincent and Goldberg, Ken},
volume = {78},
series = {Proceedings of Machine Learning Research},
month = {13--15 Nov},
publisher = {PMLR},
pdf = {http://proceedings.mlr.press/v78/dosovitskiy17a/dosovitskiy17a.pdf},
url = {https://proceedings.mlr.press/v78/dosovitskiy17a.html},
abstract = {We introduce CARLA, an open-source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous urban driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions. We use CARLA to study the performance of three approaches to autonomous driving: a classic modular pipeline, an end-to-end model trained via imitation learning, and an end-to-end model trained via reinforcement learning. The approaches are evaluated in controlled scenarios of increasing difficulty, and their performance is examined via metrics provided by CARLA, illustrating the platform’s utility for autonomous driving research.}
}
@online{carladoc,
title = {{CARLA Documentation}},
author = {{CARLA Documentation contributors}},
year = 2024,
url = {https://carla.readthedocs.io/en/latest/},
urldate = {Mar. 2024}
}
@techreport{iso_sae_levels,
type = {Standard},
author = {{SAE International Automotive} and {ISO}},
title = {{Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles}},
institution = {International Organization for Standardization},
url = {https://www.iso.org/obp/ui/en/#iso:std:iso-sae:pas:22736:ed-1:v1:en},
year = {2021}
}
@techreport{5gaa_tod_use_cases_and_requirements,
author = {{5GAA}},
title = {{Tele-Operated Driving (ToD): Use Cases and Technical Requirements}},
institution = {{5G Automotive Association}},
year = {2021},
url = {https://5gaa.org/content/uploads/2021/08/ToD_D1.1-Use-Cases-and-Technical-Requirements.pdf}
}
@techreport{5gaa_tod_system_requirements_architecture,
author = {{5GAA}},
title = {{Tele-Operated Driving (ToD): System Requirements Analysis and Architecture}},
institution = {{5G Automotive Association}},
year = {2021},
url = {https://5gaa.org/content/uploads/2021/09/5GAA_ToD_System_Requirements_Architecture_TR.pdf}
}
@INPROCEEDINGS{gtg_delay,
author={Bachhuber, Christoph and Steinbach, Eckehard},
booktitle={{2016 IEEE International Conference on Image Processing (ICIP)}},
title={{A system for high precision glass-to-glass delay measurements in video communication}},
year={2016},
volume={},
number={},
pages={2132-2136},
keywords={Delays;Cameras;Light emitting diodes;Streaming media;Clocks;Light sources;Signal processing algorithms;Video signal processing;Glass-to-glass delay measurement;video delay distribution},
doi={10.1109/ICIP.2016.7532735}}
@inproceedings{teleoperation_latency_matters,
author = {Neumeier, Stefan and Wintersberger, Philipp and Frison, Anna-Katharina and Becher, Armin and Facchi, Christian and Riener, Andreas},
title = {{Teleoperation: The Holy Grail to Solve Problems of Automated Driving? Sure, but Latency Matters}},
year = {2019},
isbn = {9781450368841},
publisher = {Association for Computing Machinery},
url = {https://doi.org/10.1145/3342197.3344534},
doi = {10.1145/3342197.3344534},
booktitle = {Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications},
pages = {186–197},
numpages = {12},
keywords = {latency, qos, teleoperated driving, user study},
series = {AutomotiveUI '19}
}
@misc{5gcroco,
author = {{Fifth Generation Cross-Border Control (5GCroCo)}},
title = {{Test Case Definition and Test Site Description for Second Round Tests and Trials}},
howpublished = {\url{https://5gcroco.eu/images/templates/rsvario/images/5GCroCo_D2_2.pdf}},
year = {2021}
}
@inproceedings{remote_driving_lte_network,
author = {Liu, Ruilin and Kwak, Daehan and Devarakonda, Srinivas and Bekris, Kostas and Iftode, Liviu},
title = {{Investigating Remote Driving over the LTE Network}},
year = {2017},
isbn = {9781450351508},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3122986.3123008},
doi = {10.1145/3122986.3123008},
booktitle = {Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications},
pages = {264–269},
numpages = {6},
keywords = {human-vehicle interaction, feedback delay, Remote driving},
location = {Oldenburg, Germany},
series = {AutomotiveUI '17}
}
@online{inetwebsite,
title = {{INET Framework - An open-source OMNeT++ model suite for wired, wireless and mobile networks}},
author = {{INET Framework contributors}},
year = 2024,
url = {https://inet.omnetpp.org/},
urldate = {Mar. 2024}
}
@online{simu5gwebsite,
title = {{Simu5G: simulator for 5G New Radio networks}},
author = {Nardini, Giovanni and Stea, Giovanni and Virdis, Antonio},
year = 2024,
url = {https://inet.omnetpp.org/},
urldate = {Mar. 2024}
}
@article{traj_similarity_dtw_etc,
author = {Sousa, Roniel S. De and Boukerche, Azzedine and Loureiro, Antonio A. F.},
title = {{Vehicle Trajectory Similarity: Models, Methods, and Applications}},
year = {2020},
issue_date = {September 2021},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {53},
number = {5},
issn = {0360-0300},
url = {https://doi.org/10.1145/3406096},
doi = {10.1145/3406096},
journal = {ACM Comput. Surv.},
month = {sep},
articleno = {94},
numpages = {32},
keywords = {vehicle, trajectory, mobility, Datasets}
}
@online{tavenard.blog.dtw,
author="Romain Tavenard",
title="An introduction to Dynamic Time Warping",
year=2021,
url={https://rtavenar.github.io/blog/dtw.html},
urldate = {Mar. 2024}
}
@ARTICLE{mec_collision_avoidance,
author={Malinverno, Marco and Avino, Giuseppe and Casetti, Claudio and Chiasserini, Carla Fabiana and Malandrino, Francesco and Scarpina, Salvatore},
journal={IEEE Vehicular Technology Magazine},
title={{Edge-Based Collision Avoidance for Vehicles and Vulnerable Users: An Architecture Based on MEC}},
year={2020},
volume={15},
number={1},
pages={27-35},
keywords={Detectors;Safety;Smart phones;Collision avoidance;Computer architecture;Acceleration;Servers},
doi={10.1109/MVT.2019.2953770}}