@inproceedings{CristofoliDuarteSilvaFunkDrechslerPolednaetal.2023, author = {Crist{\´o}foli Duarte Silva, Let{\´i}cia and Funk Drechsler, Maikol and Poledna, Yuri and Huber, Werner and Antonio Fiorentin, Thiago}, title = {Synthetic Extreme Weather for AI Training: Concept and Validation}, booktitle = {Proceedings: 2023 Third International Conference on Digital Data Processing, DDP 2023}, editor = {Ariwa, Ezendu and Fong, Simon}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-3503-2901-8}, doi = {https://doi.org/10.1109/DDP60485.2023.00044}, pages = {188 -- 194}, year = {2023}, language = {en} } @inproceedings{PolednaRewayFunkDrechsleretal.2023, author = {Poledna, Yuri and Reway, Fabio and Funk Drechsler, Maikol and Huber, Werner and Icking, Christian and Parente Ribeiro, Eduardo}, title = {An Open-Source High-Level Fusion Algorithm in ROS for Automated Driving Applications}, booktitle = {Proceedings: 2022 10th International Conference in Software Engineering Research and Innovation (CONISOFT 2022)}, editor = {Ju{\´a}rez-Ram{\´i}rez, Reyes and Fern{\´a}ndez y Fern{\´a}ndez, Carlos and Perez Gonzalez, Hector G. and Ram{\´i}rez-Noriega, Alan and Jim{\´e}nez, Samantha and Guerra-Garc{\´i}a, C{\´e}sar and Licea Sandoval, Guillermo}, publisher = {IEEE}, address = {Los Alamitos}, isbn = {978-1-6654-6126-9}, doi = {https://doi.org/10.1109/CONISOFT55708.2022.00031}, pages = {174 -- 181}, year = {2023}, language = {en} } @inproceedings{CapdevilaVitorinoPolednaetal.2024, author = {Capdevila, Marc Gonz{\`a}lez and Vitorino, Natanael and Poledna, Yuri and Malena, Bruno and Funk Drechsler, Maikol and Albuquerque, Gustavo G. and Furlan, Tales and Netto, Roberto S.}, title = {Smart\&Safe Mobility Lab: Mixed Reality Environment with HIL, CV2X for VRU Detection}, booktitle = {2024 IEEE 13th International Conference on Cloud Networking (CloudNet)}, editor = {Mattos, Diogo Menezes Ferrazani and Moraes, Igor Monteiro and Nguyen, Thi Mai Trang and de Souza Couto, Rodrigo and Rubinstein, Marcelo Goncalves}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-3503-7656-2}, doi = {https://doi.org/10.1109/CloudNet62863.2024.10815791}, year = {2024}, language = {en} } @inproceedings{PereiraPolednaParenteRibeiroetal.2019, author = {Pereira, J. C. L. and Poledna, Yuri and Parente Ribeiro, Eduardo and Dias, Jo{\~a}o S. and Oliveira, Gustavo H. C. and Kuiava, Roman and Leandro, Gideon Villar and Vilela, Jo{\~a}o A. and Demonti, Rogers and Pedretti, A.}, title = {Monitoring micro phasor measurement units at university campus}, booktitle = {2019 Workshop on Communication Networks and Power Systems (WCNPS)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-2920-4}, doi = {https://doi.org/10.1109/WCNPS.2019.8896288}, year = {2019}, language = {en} } @inproceedings{PolednaPereiraParenteRibeiro2019, author = {Poledna, Yuri and Pereira, J. C. L. and Parente Ribeiro, Eduardo}, title = {Network traffic analysis of micro PMU communication at university campus}, booktitle = {2019 Workshop on Communication Networks and Power Systems (WCNPS)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-2920-4}, doi = {https://doi.org/10.1109/WCNPS.2019.8896345}, year = {2019}, language = {en} } @inproceedings{FunkDrechslerPolednaHjortetal.2024, author = {Funk Drechsler, Maikol and Poledna, Yuri and Hjort, Mattias and Kharrazi, Sogol and Huber, Werner}, title = {Vehicle Dynamics Parameter Estimation Methodology for Virtual Automated Driving Testing}, booktitle = {2024 IEEE International Automated Vehicle Validation Conference (IAVVC), Proceedings}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-3503-5407-2}, doi = {10.1109/IAVVC63304.2024.10786416}, year = {2024}, language = {en} } @inproceedings{RewayFunkDrechslerMurthyetal.2022, author = {Reway, Fabio and Funk Drechsler, Maikol and Murthy, Ravikiran and Poledna, Yuri and Huber, Werner and Icking, Christian}, title = {Simulation-based test methods with an automotive camera-in-the-loop for automated driving algorithms}, booktitle = {2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-6654-7095-7}, doi = {https://doi.org/10.1109/ICECCME55909.2022.9988437}, year = {2022}, language = {en} } @inproceedings{PolednaFunkDrechslerDonzellaetal.2024, author = {Poledna, Yuri and Funk Drechsler, Maikol and Donzella, Valentina and Chan, Pak Hung and Duthon, Pierre and Huber, Werner}, title = {REHEARSE: adveRse wEatHEr datAset for sensoRy noiSe modEls}, booktitle = {2024 IEEE Intelligent Vehicles Symposium (IV)}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-3503-4881-1}, doi = {https://doi.org/10.1109/IV55156.2024.10588491}, pages = {2451 -- 2457}, year = {2024}, language = {en} } @article{NovickiNetoRewayPolednaetal.2025, author = {Novicki Neto, Leonardo and Reway, Fabio and Poledna, Yuri and Funk Drechsler, Maikol and Icking, Christian and Huber, Werner and Parente Ribeiro, Eduardo}, title = {TWICE dataset: digital twin of test scenarios in a controlled environment}, volume = {19}, journal = {International Journal of Vehicle Systems Modelling and Testing (IJVSMT)}, number = {2}, publisher = {Inderscience}, address = {Genf}, issn = {1745-6436}, doi = {https://doi.org/10.1504/IJVSMT.2025.147353}, pages = {152 -- 170}, year = {2025}, language = {en} } @inproceedings{UlreichFunkDrechslerPolednaetal.2026, author = {Ulreich, Fabian and Funk Drechsler, Maikol and Poledna, Yuri and Chan, Pak Hung and Herraren, Tuomas and Ebert, Martin and Kaup, Andr{\´e} and Huber, Werner}, title = {Validating Camera Sensor Models for Virtual Testing of Vision Systems in Automated Driving}, booktitle = {2025 IEEE International Conference on Vehicular Electronics and Safety (ICVES)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-6654-7778-9}, doi = {https://doi.org/10.1109/ICVES65691.2025.11376043}, pages = {57 -- 64}, year = {2026}, language = {en} } @inproceedings{FunkDrechslerSellPolednaetal.2026, author = {Funk Drechsler, Maikol and Sell, Christoph Dominic and Poledna, Yuri and Huber, Werner}, title = {Accelerating the Approval of Automated Driving Vehicles through standardized XiL test environments}, booktitle = {2025 IEEE International Conference on Vehicular Electronics and Safety (ICVES)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-6654-7778-9}, doi = {https://doi.org/10.1109/ICVES65691.2025.11376566}, pages = {183 -- 188}, year = {2026}, language = {en} } @article{RaisuddinHolmbladHaghighietal.2026, author = {Raisuddin, Abu Mohammed and Holmblad, Jesper and Haghighi, Hamed and Poledna, Yuri and Funk Drechsler, Maikol and Donzella, Valentina and Aksoy, Eren Erdal}, title = {REHEARSE-3D: A Multi-Modal Emulated Rain Dataset for 3D Point Cloud De-Raining}, volume = {26}, pages = {728}, journal = {Sensors}, number = {2}, publisher = {MDPI}, address = {Basel}, issn = {1424-8220}, doi = {https://doi.org/10.3390/s26020728}, year = {2026}, abstract = {Sensor degradation poses a significant challenge in autonomous driving. During heavy rainfall, interference from raindrops can adversely affect the quality of LiDAR point clouds, resulting in, for instance, inaccurate point measurements. This, in turn, can potentially lead to safety concerns if autonomous driving systems are not weather-aware, i.e., if they are unable to discern such changes. In this study, we release a new, large-scale, multi-modal emulated rain dataset, REHEARSE-3D, to promote research advancements in 3D point cloud de-raining. Distinct from the most relevant competitors, our dataset is unique in several respects. First, it is the largest point-wise annotated dataset (9.2 billion annotated points), and second, it is the only one with high-resolution LiDAR data (LiDAR-256) enriched with 4D RADAR point clouds logged in both daytime and nighttime conditions in a controlled weather environment. Furthermore, REHEARSE-3D involves rain-characteristic information, which is of significant value not only for sensor noise modeling but also for analyzing the impact of weather at the point level. Leveraging REHEARSE-3D, we benchmark raindrop detection and removal in fused LiDAR and 4D RADAR point clouds. Our comprehensive study further evaluates the performance of various statistical and deep learning models, where SalsaNext and 3D-OutDet achieve above 94\% IoU for raindrop detection.}, language = {en} } @inproceedings{WeiJiangChanetal.2026, author = {Wei, Zixiang and Jiang, Yunruo and Chan, Pak Hung and Wang, Yiting and Poledna, Yuri and Donzella, Valentina}, title = {Darwick: A Paired Dataset in Low-Light Driving Scenarios for Advanced Perceptual Enhancement and Benchmarking Assessment}, booktitle = {2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-3315-0592-9}, doi = {https://doi.org/10.1109/ITSC58415.2024.11414063}, year = {2026}, language = {en} }