Dr. Daniele Cattaneo
Junior Research Group Leader | ||
Postal address: |
Albert-Ludwigs-Universität Freiburg |
|
Office: | 080-01-010 | |
Email: | cattaneo@cs.uni-freiburg.de | |
Phone: | +49 761 203-8158 | |
About me
- 08/2023 - current: Junior Research Group Leader, University of Freiburg
- 01/2020 - 07/2023: Senior Researcher in the Robotic Learning Lab, University of Freiburg
- 11/2016 - 02/2020: Ph.D. in Computer Science, Università degli Studi di Milano-Bicocca, Italy
- 06/2019 - 09/2019: Ph.D. Visiting Period, INVETT Research group, University of Alcalá, Spain
- 09/2018 - 04/2019: Ph.D. Visiting Period, AIS group, University of Freiburg, Germany
- 11/2013 - 03/2016: M.Sc. in Computer Science, Università degli Studi di Milano-Bicocca, Italy
- 10/2010 - 10/2013: B.Sc. in Computer Science, Università degli Studi di Milano-Bicocca, Italy
Research Interests
- Embodiment- and environment-agnostic perception and localization for autonomous robots
- Deep learning for vision-based and LiDAR-based localization
- Sensor fusion and cross sensor matching
Current Funded Research Projects
- Robust visual SLAM system for unstructured environments
- Next generation of AI algorithms for automated driving (AI-Drive)
- Intelligent Scene Understanding of Operating Room Video Streams (iSUOR)
- Autonomous Robust Outdoor Robots (A-ROR)
Past Funded Research Projects
- Sensor Systems for Localization of Trapped Victims in Collapsed Infrastructure (SORTIE)
Supervised Students
- Modality-agnostic localization in LiDAR maps, Pranav Kolar Bhaskarpantula (ongoing)
- Estimation, Accumulation and Updating of Vectorized HD Maps, Noah Lenagan (co-supervised, ongoing)
- Unsupersvised multi-target domain adaptation for LiDAR panoptic segmentation, Peter Würth (co-supervised, ongoing)
- Transductive Inference for Semantic Segmentation, Jong Hyun Ham (co-supervised)
- Localization-preserving LiDAR maps compression, Akshay Mirylkar
- Cross-modal localization in LiDAR maps, Abhijeet Nayak
- Unsupervised LiDAR moving object detection, Venkat Subramanyam (co-supervised)
- Panoptic SLAM and loop closure detection, José Arce y de la Borbolla (co-supervised)
- Action segmentation and recognition for clinical patients from multi-view cameras, Jing Lu
- Unsupervised domain adaptation for LiDAR panoptic segmentation, Borna Bešić (co-supervised)
- Disjoint Multi Resolution Sampling for Continuous-time SLAM, Sai Sourabh Tiruvaipati
- Multi-Hypothesis CNN for camera localization in LiDAR maps, Yigit Yukselen
Publications
Google scholar profile
2024
- Rohit Mohan, Daniele Cattaneo, Florian Drews, Abhinav Valada,
Progressive Multi-Modal Fusion for Robust 3D Object Detection
8th Annual Conference on Robot Learning (CoRL), 2024.
Download BibTeX - Julia Hindel, Daniele Cattaneo, Abhinav Valada,
Taxonomy-Aware Continual Semantic Segmentation in Hyperbolic Spaces for Open-World Perception
arXiv preprint arXiv:2407.18145, 2024.
Download Website BibTeX - Kürsat Petek, Niclas Vödisch, Johannes Meyer, Daniele Cattaneo, Abhinav Valada, Wolfram Burgard,
Automatic Target-Less Camera-LiDAR Calibration from Motion and Deep Point Correspondences
IEEE Robotics and Automation Letters (RA-L), 2024.
Download Video Website BibTeX - Daniele Cattaneo, Abhinav Valada,
CMRNext: Camera to LiDAR Matching in the Wild for Localization and Extrinsic Calibration
arXiv preprint arXiv:2402.00129, 2024.
Download BibTeX - Abhijeet Nayak, Daniele Cattaneo, Abhinav Valada,
RaLF: Flow-based Global and Metric Radar Localization in LiDAR Maps
IEEE International Conference on Robotics and Automation (ICRA), 2024.
Download Video Website BibTeX - Rohit Mohan, José Arce, Sassan Mokhtar, Daniele Cattaneo, Abhinav Valada,
Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding of Healthcare Facilities
IEEE Robotics and Automation Letters, 2024.
Download Video Website BibTeX - Augusto Luis Ballardini, Daniele Cattaneo, Rubén Izquierdo, Ignacio Parra, Andrea Piazzoni, Miguel Ángel Sotelo, Domenico Giorgio Sorrenti,
An ego-lane estimation method with sensor failure modelling
IEEE Access, 2024.
Download BibTeX
2023
- Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada
CoVIO: Online Continual Learning for Visual-Inertial Odometry
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023.
Paper (arXiv) Project page BibTeX - José Arce, Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada
PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration using Panoptic Attention
IEEE Robotics and Automation Letters (RA-L), 2023.
Paper (IEEE) Paper (arXiv) Project page BibTeX
2022
- Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada
Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping through Continual Learning
Proceedings of the International Symposium on Robotics Research (ISRR), 2022
Paper (arXiv) Video Project page BibTeX - Borna Besic*, Nikhil Gosala*, Daniele Cattaneo, Abhinav Valada
Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation
IEEE Robotics and Automation Letters (RA-L), vol. 7, no. 2, pp. 3404-3411, 2022.
Paper (IEEE) Paper (arXiv) Video Project page BibTeX - Daniele Cattaneo, Matteo Vaghi, Abhinav Valada,
LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM
IEEE Transactions on Robotics (T-RO), 2022.
Paper (IEEE) Paper (arXiv) Video Demo BibTeX
2021
- Augusto Luis Ballardini, Simone Fontana, Daniele Cattaneo, Matteo Matteucci, Domenico Giorgio Sorrenti
Vehicle Localization Using 3D Building Models and Point Cloud Matching
Sensors, 21(16), 5356., 2021.
Download 10.3390/s21165356 BibTeX - Simone Fontana, Daniele Cattaneo, Augusto L. Ballardini, Matteo Vaghi, Domenico Giorgio Sorrenti
A benchmark for point clouds registration algorithms
Robotics and Autonomous Systems, 2021.
Paper (sciencedirect) Paper (arXiv) BibTeX
2020
- Daniele Cattaneo, Domenico Giorgio Sorrenti, Abhinav Valada,
CMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR Maps
IEEE International Conference on Robotics and Automation (ICRA) Workshop on Emerging Learning and Algorithmic Methods for Data Association in Robotics, 2020. (Spotlight)
Download Video Demo BibTeX - Daniele Cattaneo
Machine Learning Techniques for Urban Vehicle Localization
Ph.D. Dissertation - Daniele Cattaneo, Matteo Vaghi, Simone Fontana, Augusto Luis Ballardini, Domenico Giorgio Sorrenti
Global visual localization in LiDAR-maps through shared 2D-3D embedding space
IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020.
Paper (IEEE) Paper (arXiv) BibTeX
2019
- Daniele Cattaneo, Matteo Vaghi, Augusto Luis Ballardini, Simone Fontana, Domenico Giorgio Sorrenti, Wolfram Burgard
CMRNet: Camera to LiDAR-Map Registration
IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, 2019.
Paper (IEEE) Paper (arXiv) BibTeX - Augusto Luis Ballardini, Daniele Cattaneo, Domenico Giorgio Sorrenti
Visual Localization at Intersections with Digital Maps
IEEE International Conference on Robotics and Automation (ICRA), Montréal, Canada, 2019.
Paper (IEEE) BibTeX
2017
- Augusto Luis Ballardini, Daniele Cattaneo, Rubén Izquierdo, Ignacio Parra, Miguel Ángel Sotelo, Domenico Giorgio Sorrenti
Ego-lane estimation by modeling lanes and sensor failures
IEEE Intelligent Transportation Systems Conference (ITSC), Yokohama, Japan, 2017.
Paper (IEEE) BibTeX - Augusto Luis Ballardini, Daniele Cattaneo, Simone Fontana, Domenico Giorgio Sorrenti
An online probabilistic road intersection detector
IEEE International Conference on Robotics and Automation (ICRA), Singapore, 2017.
Paper (IEEE) BibTeX
2016
- Augusto Luis Ballardini, Daniele Cattaneo, Simone Fontana, Domenico Giorgio Sorrenti
Leveraging the OSM building data to enhance the localization of an urban vehicle
IEEE Intelligent Transportation Systems Conference (ITSC), Rio de Janeiro, Brazil, 2016.
Paper (IEEE) BibTeX