@inproceedings{VriesmanBrittoJuniorZimmeretal.2020, author = {Vriesman, Daniel and Britto Junior, Alceu and Zimmer, Alessandro and Koerich, Alessandro Lameiras}, title = {Texture CNN for thermoelectric metal pipe image classification}, booktitle = {2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI)}, publisher = {IEEE}, address = {Piscataway}, issn = {2375-0197}, doi = {https://doi.org/10.1109/ICTAI.2019.00085}, pages = {569 -- 574}, year = {2020}, language = {en} } @article{VriesmanBrittoJuniorZimmeretal.2019, author = {Vriesman, Daniel and Britto Junior, Alceu and Zimmer, Alessandro and Koerich, Alessandro Lameiras and Paludo, Rodrigo}, title = {Automatic visual inspection of thermoelectric metal pipes}, volume = {13}, journal = {Signal, Image and Video Processing}, number = {5}, publisher = {Springer}, address = {London}, issn = {1863-1711}, doi = {https://doi.org/10.1007/s11760-019-01435-2}, pages = {975 -- 983}, year = {2019}, language = {en} } @inproceedings{TomalRibasPereiraCocronLopesDaSilvaetal.2021, author = {Tomal Ribas, Luis Gustavo and Pereira Cocron, Marta and Lopes Da Silva, Joed and Zimmer, Alessandro and Brandmeier, Thomas}, title = {In-Cabin vehicle synthetic data to test Deep Learning based human pose estimation models}, booktitle = {2021 IEEE Intelligent Vehicles Symposium (IV)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-5394-0}, doi = {https://doi.org/10.1109/IV48863.2021.9576020}, pages = {610 -- 615}, year = {2021}, language = {en} } @inproceedings{CardosoBrotoOkimotoPereiraCocronetal.2020, author = {Cardoso Broto, Lucas and Okimoto, Maria L.R. and Pereira Cocron, Marta and Zimmer, Alessandro and Brandmeier, Thomas}, title = {Application of Low-cost Pulse Radar for Heart Rate Detection in Vehicle Interior}, booktitle = {Sensors and Electronic Instrumentation Advances: Proceedings of the 6th International Conference on Sensors and Electronic Instrumentation Advances and Frequency \& Time: Proceedings of the 2nd IFSA Frequency \& Time Conference}, editor = {Yurish, Sergey Y.}, publisher = {IFSA}, address = {Castelldefels}, isbn = {978-84-09-23483-7}, url = {https://www.seia-conference.com/publications.html}, pages = {99 -- 104}, year = {2020}, language = {en} } @inproceedings{ChanZimmerLopesdaSilvaetal.2020, author = {Chan, Lap Yan and Zimmer, Alessandro and Lopes da Silva, Joed and Brandmeier, Thomas}, title = {European Union dataset and annotation tool for real time automatic license plate detection and blurring}, booktitle = {2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)}, publisher = {IEEE}, address = {Piscataway}, doi = {https://doi.org/10.1109/ITSC45102.2020.9294240}, year = {2020}, language = {en} } @techreport{BalintSchindlerLoeffleretal.2021, author = {B{\´a}lint, Andr{\´a}s and Schindler, Ron and L{\"o}ffler, Christian and Wimmer, Peter and Kirschbichler, Stefan and Kolk, Harald and Klein, Christoph and Schories, Lars and Hay, Julian and Becker, Julian and Birkner, Christian and Lopes da Silva, Joed and Zimmer, Alessandro and Mensa, Gen{\´i}s and Parera, N{\´u}ria and Rokova, Simona and Castells, Jacint and Lorente Mallada, Jorge and Nikolaou, Stella and Vogl, Carina and Stoll, Johann}, title = {D5.2 Safety impact assessment - intermediate report}, url = {https://www.safe-up.eu/resources}, pages = {56}, year = {2021}, language = {en} } @inproceedings{PalandurkarChanSilvaetal.2023, author = {Palandurkar, Tanaya Viraj and Chan, Lap Yan and Silva, Joed Lopes Da and Zimmer, Alessandro and Schwarz, Ulrich}, title = {Driver's Chest Position Detection using FMCW Radar Data Collected in a Vehicle Mock-up and CNN}, booktitle = {2023 24th International Radar Symposium (IRS)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-3-944976-34-1}, doi = {https://doi.org/10.23919/IRS57608.2023.10172421}, year = {2023}, language = {en} } @article{BrunetiSeverinoZimmerBrandmeieretal.2019, author = {Bruneti Severino, Jo{\~a}o Victor and Zimmer, Alessandro and Brandmeier, Thomas and Zanetti Freire, Roberto}, title = {Pedestrian recognition using micro Doppler effects of radar signals based on machine learning and multi-objective optimization}, volume = {2019}, journal = {Expert Systems with Applications}, number = {136}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0957-4174}, doi = {https://doi.org/10.1016/j.eswa.2019.06.048}, pages = {304 -- 315}, year = {2019}, language = {en} } @inproceedings{LopesdaSilvaTabataCardosoBrotoetal.2020, author = {Lopes da Silva, Joed and Tabata, Alan Naoto and Cardoso Broto, Lucas and Pereira Cocron, Marta and Zimmer, Alessandro and Brandmeier, Thomas}, title = {Open source multipurpose multimedia annotation tool}, booktitle = {Image Analysis and Recognition}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-50346-8}, issn = {0302-9743}, doi = {https://doi.org/10.1007/978-3-030-50347-5_31}, pages = {356 -- 367}, year = {2020}, language = {en} } @inproceedings{BoehmlaenderHasirliogluYanoetal.2015, author = {B{\"o}hml{\"a}nder, Dennis and Hasirlioglu, Sinan and Yano, Vitor and Lauerer, Christian and Brandmeier, Thomas and Zimmer, Alessandro}, title = {Advantages in Crash Severity Prediction Using Vehicle to Vehicle Communication}, booktitle = {Proceedings: 2015 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops}, publisher = {IEEE}, address = {Los Alamitos}, isbn = {978-1-4673-8044-7}, doi = {https://doi.org/10.1109/DSN-W.2015.23}, pages = {112 -- 117}, year = {2015}, language = {en} } @unpublished{PederivaDeMartinoZimmer2023, author = {Pederiva, Marcelo Eduardo and De Martino, Jos{\´e} Mario and Zimmer, Alessandro}, title = {MonoNext: A 3D Monocular Object Detection with ConvNext}, publisher = {arXiv}, address = {Ithaca}, doi = {https://doi.org/10.48550/arXiv.2308.00596}, year = {2023}, abstract = {Autonomous driving perception tasks rely heavily on cameras as the primary sensor for Object Detection, Semantic Segmentation, Instance Segmentation, and Object Tracking. However, RGB images captured by cameras lack depth information, which poses a significant challenge in 3D detection tasks. To supplement this missing data, mapping sensors such as LIDAR and RADAR are used for accurate 3D Object Detection. Despite their significant accuracy, the multi-sensor models are expensive and require a high computational demand. In contrast, Monocular 3D Object Detection models are becoming increasingly popular, offering a faster, cheaper, and easier-to-implement solution for 3D detections. This paper introduces a different Multi-Tasking Learning approach called MonoNext that utilizes a spatial grid to map objects in the scene. MonoNext employs a straightforward approach based on the ConvNext network and requires only 3D bounding box annotated data. In our experiments with the KITTI dataset, MonoNext achieved high precision and competitive performance comparable with state-of-the-art approaches. Furthermore, by adding more training data, MonoNext surpassed itself and achieved higher accuracies.}, language = {en} } @inproceedings{DanapalMayrKariminezhadetal.2022, author = {Danapal, Gokulesh and Mayr, Christian and Kariminezhad, Ali and Vriesman, Daniel and Zimmer, Alessandro}, title = {Attention Empowered Feature-level Radar-Camera Fusion for Object Detection}, booktitle = {2022 Sensor Data Fusion: Trends, Solutions, Applications (SDF)}, publisher = {IEEE}, address = {Piscataway (NJ)}, isbn = {978-1-6654-8672-9}, doi = {https://doi.org/10.1109/SDF55338.2022.9931956}, year = {2022}, language = {en} } @inproceedings{VriesmanThoereszSteinhauseretal.2020, author = {Vriesman, Daniel and Th{\"o}resz, Bernhard and Steinhauser, Dagmar and Zimmer, Alessandro and Britto Junior, Alceu and Brandmeier, Thomas}, title = {An Experimental Analysis of Rain Interference on Detection and Ranging Sensors Signals considering the Near Field}, booktitle = {2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-4149-7}, doi = {https://doi.org/10.1109/ITSC45102.2020.9294505}, year = {2020}, language = {en} } @inproceedings{VriesmanPederivaDeMartinoetal.2021, author = {Vriesman, Daniel and Pederiva, Marcelo Eduardo and De Martino, Jos{\´e} Mario and Britto Junior, Alceu and Zimmer, Alessandro and Brandmeier, Thomas}, title = {A fusion approach for pre-crash scenarios based on lidar and camera sensors}, booktitle = {2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)}, publisher = {IEEE}, address = {Piscataway (NJ)}, isbn = {978-1-7281-8964-2}, doi = {https://doi.org/10.1109/VTC2021-Spring51267.2021.9449039}, year = {2021}, language = {en} } @inproceedings{SezginVriesmanHeldetal.2022, author = {Sezgin, Fatih and Vriesman, Daniel and Held, Patrick and Zimmer, Alessandro and Brandmeier, Thomas}, title = {A Deep Learning Approach for Pedestrian Behavior Interpretation Based on Radar Point Clouds}, booktitle = {European Microwave Week 2021 "United in Microwaves" Conference Proceedings}, publisher = {IEEE}, address = {Piscataway (NJ)}, isbn = {978-2-87487-065-1}, doi = {https://doi.org/10.23919/EuRAD50154.2022.9784515}, pages = {66 -- 69}, year = {2022}, language = {en} } @inproceedings{VriesmanJuniorZimmeretal.2023, author = {Vriesman, Daniel and Junior, Alceu Britto and Zimmer, Alessandro and Brandmeier, Thomas}, title = {Multimodal Early Fusion of Automotive Sensors based on Autoencoder Network: An anchor-free approach for Vehicle 3D Detection}, booktitle = {2023 26th International Conference on Information Fusion (FUSION)}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-89034-485-4}, doi = {https://doi.org/10.23919/FUSION52260.2023.10224140}, year = {2023}, language = {en} } @inproceedings{LugnerVriesmanInderstetal.2021, author = {Lugner, Robert and Vriesman, Daniel and Inderst, Maximilian and Sequeira, Gerald Joy and Pasupuleti, Niyathipriya and Zimmer, Alessandro and Brandmeier, Thomas}, title = {Evaluation of sensor tolerances and inevitability for pre-crash safety systems in real case scenarios}, booktitle = {2020 IEEE 3rd Connected and Automated Vehicles Symposium (CAVS)}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-7281-9001-3}, doi = {https://doi.org/10.1109/CAVS51000.2020.9334578}, year = {2021}, language = {en} } @article{TabataZimmerCoelhoetal.2023, author = {Tabata, Alan Naoto and Zimmer, Alessandro and Coelho, Leandro Dos Santos and Mariani, Viviana Cocco}, title = {Analyzing CARLA 's performance for 2D object detection and monocular depth estimation based on deep learning approaches}, volume = {2023}, pages = {120200}, journal = {Expert Systems with Applications}, number = {227}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0957-4174}, doi = {https://doi.org/10.1016/j.eswa.2023.120200}, year = {2023}, language = {en} }