About Me
I am a machine learning engineer at BMW AG working on autonomous driving.
Previously, I was a PhD student at Ulm University (Germany), supervised by Prof. Klaus Dietmayer and in collaboration with BMW AG. My research concentrated on 3D deep learning perception for autonomous driving applications, with a focus on robustness to adverse weather conditions. I did my undergraduate studies at the University of Siena (Italy), where I obtained a Master’s degree in Robotics and Automation Engineering.
In my spare time I enjoy travelling, running, bouldering, and reading a good book.
Publications
Label-Efficient Semantic Segmentation of LiDAR Point Clouds in Adverse Weather Conditions
Aldi Piroli, Vinzenz Dallabetta, Johannes Kopp, Marc Walessa, Daniel Meissner, Klaus Dietmayer
IEEE Robotics and Automation Letters (RA-L) 2024
SemanticSpray++: A Multimodal Dataset for Autonomous Driving in Wet Surface Conditions
Aldi Piroli, Vinzenz Dallabetta, Johannes Kopp, Marc Walessa, Daniel Meissner, Klaus Dietmayer
IEEE Intelligent Vehicles Symposium (IV 2024)
Towards Robust 3D Object Detection In Rainy Conditions
Aldi Piroli, Vinzenz Dallabetta, Johannes Kopp, Marc Walessa, Daniel Meissner, Klaus Dietmayer
IEEE International Conference on Intelligent Transportation Systems (ITSC) 2023
LS-VOS: Identifying Outliers in 3D Object Detections Using Latent Space Virtual Outlier Synthesis
Aldi Piroli, Vinzenz Dallabetta, Johannes Kopp, Marc Walessa, Daniel Meissner, Klaus Dietmayer
IEEE International Conference on Intelligent Transportation Systems (ITSC) 2023
Aldi Piroli, Vinzenz Dallabetta, Johannes Kopp, Marc Walessa, Daniel Meissner, Klaus Dietmayer
Energy-based Detection of Adverse Weather Effects in LiDAR Data
Aldi Piroli, Vinzenz Dallabetta, Johannes Kopp, Marc Walessa, Daniel Meissner, Klaus Dietmayer
IEEE Robotics and Automation Letters (RA-L) 2023
Detection of Condensed Vehicle Gas Exhaust in LiDAR Point Clouds
Aldi Piroli, Vinzenz Dallabetta, Marc Walessa, Daniel Meissner, Johannes Kopp, Klaus Dietmayer
IEEE International Conference on Intelligent Transportation Systems (ITSC) 2022
Robust 3D Object Detection in Cold Weather Conditions
Aldi Piroli, Vinzenz Dallabetta, Marc Walessa, Daniel Meissner, Johannes Kopp, Klaus Dietmayer
IEEE Intelligent Vehicles Symposium (IV) 2022
LMB Filter Based Tracking Allowing for Multiple Hypotheses in Object Reference Point Association
Martin Herrmann, Aldi Piroli, Jan Strohbeck, Johannes MĂĽller, Michael Buchholz
IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) 2020
Patents
Verfahren zum Trainieren eines Objektdetektors und damit ausgestattetes Kraftfahrzeug
Aldi Piroli, Vinzenz Dallabetta, Marc Walessa, Daniel Meissner
Aldi Piroli, Vinzenz Dallabetta, Marc Walessa, Daniel Meissner
Aldi Piroli, Vinzenz Dallabetta, Marc Walessa, Daniel Meissner
Aldi Piroli, Vinzenz Dallabetta, Marc Walessa, Daniel Meissner
Verfahren und Erkennungseinrichtung zum lidarbasierten Erkennen von Abgaswolken und Kraftfahrzeug
Aldi Piroli, Vinzenz Dallabetta, Marc Walessa, Daniel Meissner
Projects
An up to date collection of “for fun” projects, mostly on deep learning stuff, can be found here.
CV
- 2024-09 / Present : Machine Learning Engineer at BMW AG
- 2020-06 / 2024-09: PhD Student in 3D Deep Learning for Autonomous Driving
- 2017-09 / 2020-02: Master in Computer and Automation Engineering (110/110 cum laude)
- 2014-09 / 2017-07: Bachelor in Information Engineering