Department of Industrial, Electronic and Mechanical Engineering, Roma Tre University
Via Vito Volterra 62, 00146, Rome, Italy
michele.brizzi@uniroma3.it
Researchgate profile
Linkedin profile
Google Scholar profile
Github profile
Biography
Michele Brizzi received the Laurea (B.Sc.) in Electronic Engineering, the Laurea Magistrale (M.Sc) in Information and Communication Technology Engineering, and his Ph.D. in Applied Electronics from Roma Tre University in 2016, 2018, and 2022, respectively. He is now a post-doc researcher at the Department of Industrial, Electronic and Mechanical Engineering, Roma Tre University.
He is an IEEE member (2022-present) and a member of The Institute of Navigation (2023-present).
He is an IEEE member (2022-present) and a member of The Institute of Navigation (2023-present).
Research
His main research interests are in the area of multimedia signal processing and positioning applications for autonomous vehicles.
Projects
Ongoing projects
- RAILGAP
The RAILGAP project aims at using GNSS for rail positioning to allow a safer and smarter mobility. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No: 101004129.
Find out more at https://railgap.eu/.
Concluded projects
-
RESISTO – Resilience enhancement and risk control platform for communication infrastructure operators funded under the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No786409 (May 2018-July 2020).
- VOLIERA – Video Odometry with Lidar and EGNSS for ERTMS Applications
The VOLIERA project aims at defining a multi-sensor positioning system for the railway scenario. The positioning framework involves GNSS, IMU, LIDAR, stereo cameras and time-of-flight cameras. VOLIERA is co-funded by the ESA – NAVISP – 2 program.
Find out more at https://voliera.eu/.
Courses
A.A. 2022/2023
Publications
Journal papers
2023
Brizzi, Michele; Battisti, Federica; Carli, Marco; Neri, Alessandro
Selective video enhancement in the Laguerre-Gauss domain Journal Article
In: Signal Processing: Image Communication, vol. 110, 2023, ISSN: 0923-5965.
@article{Brizzi_SPIC_2023,
title = {Selective video enhancement in the Laguerre-Gauss domain},
author = {Michele Brizzi and Federica Battisti and Marco Carli and Alessandro Neri},
url = {https://www.sciencedirect.com/science/article/pii/S0923596522001552},
doi = {https://doi.org/10.1016/j.image.2022.116876},
issn = {0923-5965},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
journal = {Signal Processing: Image Communication},
volume = {110},
abstract = {Traditional image and video enhancement techniques do not consider the subjective preferences of the user, who might be interested in modifying or highlighting specific elements of a scene. In fact, most image or video post-processing techniques are applied to the entire image or frame. In this work, a framework for selective video enhancement is presented. It is based on an adaptive multi-resolution edge enhancement technique performed in the Laguerre-Gauss complex wavelet domain. In the proposed scheme, edges are selectively enhanced or attenuated according to the inputs of the user, taking into account the characteristics of the content, the response of the human visual system, and the masking effects induced by textured background. Two scenarios have been implemented and tested: (i) an interactive video editing system, where the user selects the objects to enhance through a graphical interface and the system automatically propagates the selection through the following video frames belonging to the same shot, (ii) a perceptually-driven technique to improve the quality of RGB plus Depth videos, which uses depth maps as additional features to guide the enhancement.},
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Traditional image and video enhancement techniques do not consider the subjective preferences of the user, who might be interested in modifying or highlighting specific elements of a scene. In fact, most image or video post-processing techniques are applied to the entire image or frame. In this work, a framework for selective video enhancement is presented. It is based on an adaptive multi-resolution edge enhancement technique performed in the Laguerre-Gauss complex wavelet domain. In the proposed scheme, edges are selectively enhanced or attenuated according to the inputs of the user, taking into account the characteristics of the content, the response of the human visual system, and the masking effects induced by textured background. Two scenarios have been implemented and tested: (i) an interactive video editing system, where the user selects the objects to enhance through a graphical interface and the system automatically propagates the selection through the following video frames belonging to the same shot, (ii) a perceptually-driven technique to improve the quality of RGB plus Depth videos, which uses depth maps as additional features to guide the enhancement.
2022
Arif, Syed Muhammad Umair; Brizzi, Michele; Carli, Marco; Battisti, Federica
Human reaction time in a mixed reality environment Journal Article
In: Frontiers in Neuroscience, 2022.
@article{Arif_FrontNeuro_2022,
title = {Human reaction time in a mixed reality environment},
author = {Syed Muhammad Umair Arif and Michele Brizzi and Marco Carli and Federica Battisti},
doi = {10.3389/fnins.2022.897240},
year = {2022},
date = {2022-08-19},
urldate = {2022-08-19},
journal = {Frontiers in Neuroscience},
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Baldoni, Sara; Battisti, Federica; Brizzi, Michele; Neri, Alessandro
GNSS-Imaging Data Fusion for Integrity Enhancement in Autonomous Vehicles Journal Article
In: IEEE Transactions on Aerospace and Electronic Systems, vol. 58, no. 5, pp. 4690-4704, 2022.
@article{Baldoni_TAES_2022,
title = {GNSS-Imaging Data Fusion for Integrity Enhancement in Autonomous Vehicles},
author = {Sara Baldoni and Federica Battisti and Michele Brizzi and Alessandro Neri},
url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9754275&isnumber=9915531},
doi = {10.1109/TAES.2022.3165771},
year = {2022},
date = {2022-04-08},
urldate = {2022-01-01},
journal = {IEEE Transactions on Aerospace and Electronic Systems},
volume = {58},
number = {5},
pages = {4690-4704},
abstract = {The transport sector is experiencing a fast and revolutionary development, moving toward the deployment of autonomous vehicles. Thus, the accuracy of the position information and the integrity of the navigation system have become key factors. In this article, we address the problem of the enhancement of the integrity of the position provided by a global navigation satellite system receiver by exploiting sensor fusion. To this aim, we estimate the lateral offset and heading of the vehicle with respect to a georeferenced roadway centerline from the images supplied by an on-board camera. Moreover, we perform integrity monitoring based on the implementation of the solution separation in the parity space. The numerical results indicate that the use of sensor fusion and digital map allows us to attain a longitudinal protection level reduction with respect to the case in which sensor fusion is not exploited. More specifically, a decrease of about 70% is achieved when a single constellation is used, while reduction is less relevant, about 15%, when two constellations are employed.},
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The transport sector is experiencing a fast and revolutionary development, moving toward the deployment of autonomous vehicles. Thus, the accuracy of the position information and the integrity of the navigation system have become key factors. In this article, we address the problem of the enhancement of the integrity of the position provided by a global navigation satellite system receiver by exploiting sensor fusion. To this aim, we estimate the lateral offset and heading of the vehicle with respect to a georeferenced roadway centerline from the images supplied by an on-board camera. Moreover, we perform integrity monitoring based on the implementation of the solution separation in the parity space. The numerical results indicate that the use of sensor fusion and digital map allows us to attain a longitudinal protection level reduction with respect to the case in which sensor fusion is not exploited. More specifically, a decrease of about 70% is achieved when a single constellation is used, while reduction is less relevant, about 15%, when two constellations are employed.
2018
Battisti, Federica; Baldoni, Sara; Brizzi, Michele; Carli, Marco
A feature-based approach for saliency estimation of omni-directional images Journal Article
In: Signal Processing: Image Communication, vol. 69, pp. 53-59, 2018, (cited By 33).
@article{Battisti_SPIC_2018,
title = {A feature-based approach for saliency estimation of omni-directional images},
author = {Federica Battisti and Sara Baldoni and Michele Brizzi and Marco Carli},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044536288&doi=10.1016%2fj.image.2018.03.008&partnerID=40&md5=b94843104e2f63e09d05eb6dc7a4553a},
doi = {10.1016/j.image.2018.03.008},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
journal = {Signal Processing: Image Communication},
volume = {69},
pages = {53-59},
note = {cited By 33},
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Conference papers
2023
Brizzi, Michele; Neri, Alessandro
Multi-ride Fusion for Rail Digital Map Construction Proceedings Article
In: 2023 IEEE/ION Position Location and Navigation Symposium (PLANS), The Institute of Navigation Monterey, CA, 2023.
@inproceedings{Brizzi_PLANS_2023,
title = {Multi-ride Fusion for Rail Digital Map Construction},
author = {Michele Brizzi and Alessandro Neri},
year = {2023},
date = {2023-04-25},
urldate = {2023-04-25},
booktitle = {2023 IEEE/ION Position Location and Navigation Symposium (PLANS)},
address = {Monterey, CA},
organization = {The Institute of Navigation},
abstract = {A novel technique for building a detailed Digital Map of the rail environment has been implemented and tested. It is based on the fusion of multiple rides acquired by means of on-board GNSS receivers, IMUs and visual sensors from trains in commercial operation. More in detail, an efficient incremental procedure for processing the collected data to reduce the computational complexity and storage requirements has been proposed. We demonstrate that the proposed system is able to obtain accurate track geometry and trackside objects position information while being robust to signal degradations typical of the rail environment.},
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A novel technique for building a detailed Digital Map of the rail environment has been implemented and tested. It is based on the fusion of multiple rides acquired by means of on-board GNSS receivers, IMUs and visual sensors from trains in commercial operation. More in detail, an efficient incremental procedure for processing the collected data to reduce the computational complexity and storage requirements has been proposed. We demonstrate that the proposed system is able to obtain accurate track geometry and trackside objects position information while being robust to signal degradations typical of the rail environment.
Brizzi, Michele; D’Orazio, Francesca; Neri, Alessandro
Rail Digital Map Construction on GNSS Denied Areas Proceedings Article
In: Proceedings of the 2023 International Technical Meeting of The Institute of Navigation, pp. 1143-1153, ION Long Beach, California, 2023.
@inproceedings{Brizzi_ITM_2023,
title = {Rail Digital Map Construction on GNSS Denied Areas},
author = {Michele Brizzi and Francesca D'Orazio and Alessandro Neri},
doi = {10.33012/2023.18643},
year = {2023},
date = {2023-01-26},
urldate = {2023-01-26},
booktitle = {Proceedings of the 2023 International Technical Meeting of The Institute of Navigation},
pages = {1143-1153},
address = {Long Beach, California},
organization = {ION},
abstract = {A Digital Map of the rail infrastructure in a key element to support the adoption of GNSS in railway signalling and satisfy the strict accuracy and integrity requirements even in the presence of feared events that may hinder the positioning solution. In this work, we tackle the issue of providing an accurate rail Digital Map for localization purposes, bridging the gaps produced by the loss of GNSS coverage using forward and backward post-processing of inertial navigation. Experimental results show that the proposed method is able to increase the accuracy of the resulting Digital Map.},
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A Digital Map of the rail infrastructure in a key element to support the adoption of GNSS in railway signalling and satisfy the strict accuracy and integrity requirements even in the presence of feared events that may hinder the positioning solution. In this work, we tackle the issue of providing an accurate rail Digital Map for localization purposes, bridging the gaps produced by the loss of GNSS coverage using forward and backward post-processing of inertial navigation. Experimental results show that the proposed method is able to increase the accuracy of the resulting Digital Map.
Brizzi, Michele; Chiocchio, Sandro; Persia, Arianna; Neri, Alessandro
On the Performance of a Cascade of Barriers of Multipath Feared Events for High Accuracy High Integrity Train Positioning Proceedings Article
In: Proceedings of the 2023 International Technical Meeting of The Institute of Navigation, pp. 454 – 468, ION Long Beach, California, 2023.
@inproceedings{Brizzi_Barriers_ITM_2023,
title = {On the Performance of a Cascade of Barriers of Multipath Feared Events for High Accuracy High Integrity Train Positioning},
author = {Michele Brizzi and Sandro Chiocchio and Arianna Persia and Alessandro Neri},
doi = {10.33012/2023.18604},
year = {2023},
date = {2023-01-25},
urldate = {2023-01-25},
booktitle = {Proceedings of the 2023 International Technical Meeting of The Institute of Navigation},
pages = {454 - 468},
address = {Long Beach, California},
organization = {ION},
abstract = {Detection of multipath feared events is a fundamental capability of current and future High Accuracy High Integrity positioning systems for rail transport based on Global Navigation Satellite Systems. In this work, a method based on a cascade of barriers is proposed for Signal In Space measurement selection and integrity monitoring. To this aim, a mathematical framework for the analytic assessment of the achievable performance of Fault Detection and Exclusion algorithms based on Solution Separation is defined, accounting for the impact that exclusion of a Signal In Space observable has on the PVT accuracy and integrity. An adaptive logic based on Gaussian Mixtures models is also introduced for the computation of the exclusion thresholds in order to assure a constant False Exclusion probability.},
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Detection of multipath feared events is a fundamental capability of current and future High Accuracy High Integrity positioning systems for rail transport based on Global Navigation Satellite Systems. In this work, a method based on a cascade of barriers is proposed for Signal In Space measurement selection and integrity monitoring. To this aim, a mathematical framework for the analytic assessment of the achievable performance of Fault Detection and Exclusion algorithms based on Solution Separation is defined, accounting for the impact that exclusion of a Signal In Space observable has on the PVT accuracy and integrity. An adaptive logic based on Gaussian Mixtures models is also introduced for the computation of the exclusion thresholds in order to assure a constant False Exclusion probability.
2022
Baldoni, Sara; Battisti, Federica; Brizzi, Michele; Neri, Michael; Neri, Alessandro
A Semantic Segmentation-based Approach for Train Positioning Proceedings Article
In: ITM/PTTI Institute Of Navigation (ION), pp. 1380-1391, 2022.
@inproceedings{ion2022_baldoni,
title = {A Semantic Segmentation-based Approach for Train Positioning },
author = {Sara Baldoni and Federica Battisti and Michele Brizzi and Michael Neri and Alessandro Neri},
doi = {10.33012/2022.18164},
year = {2022},
date = {2022-01-25},
urldate = {2022-01-01},
booktitle = {ITM/PTTI Institute Of Navigation (ION)},
pages = {1380-1391},
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Baldoni, Sara; Battisti, Federica; Brizzi, Michele; Emmanuele, Giusy; Neri, Alessandro; Pallotta, Luca; Ruggeri, Agostino; Vennarini, Alessia
On the Design of High Accuracy Rail Digital Maps based on Sensor Fusion Proceedings Article
In: Proceedings of the 2022 International Technical Meeting of The Institute of Navigation, pp. 1420-1431, 2022.
@inproceedings{Baldoni_ION_2022,
title = {On the Design of High Accuracy Rail Digital Maps based on Sensor Fusion},
author = {Sara Baldoni and Federica Battisti and Michele Brizzi and Giusy Emmanuele and Alessandro Neri and Luca Pallotta and Agostino Ruggeri and Alessia Vennarini},
doi = {10.33012/2022.18188},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
booktitle = {Proceedings of the 2022 International Technical Meeting of The Institute of Navigation},
pages = {1420-1431},
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2021
Neri, Alessandro; Battisti, Federica; Baldoni, Sara; Brizzi, Michele; Pallotta, Luca; Ruggeri, Agostino; Lauro, Gianluigi
High Accuracy High Integrity Train Positioning Based on GNSS and Image Processing Integration Proceedings Article
In: Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+), 2021.
@inproceedings{Neri_GNSS2021_voliera,
title = {High Accuracy High Integrity Train Positioning Based on GNSS and Image Processing Integration},
author = {Alessandro Neri and Federica Battisti and Sara Baldoni and Michele Brizzi and Luca Pallotta and Agostino Ruggeri and Gianluigi Lauro},
year = {2021},
date = {2021-01-01},
booktitle = {Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+)},
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2020
Baldoni, Sara; Battisti, Federica; Brizzi, Michele; Neri, Alessandro
Virtual Track: A Vision-based Integrity Enhancement Proceedings Article
In: IEEE/ION Position, Location and Navigation Symposium (PLANS), 2020.
@inproceedings{Baldoni_Plans_2020_Virtual,
title = {Virtual Track: A Vision-based Integrity Enhancement},
author = {Sara Baldoni and Federica Battisti and Michele Brizzi and Alessandro Neri},
doi = {10.1109/PLANS46316.2020.9110219},
year = {2020},
date = {2020-01-01},
booktitle = {IEEE/ION Position, Location and Navigation Symposium (PLANS)},
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Baldoni, Sara; Battisti, Federica; Brizzi, Michele; Neri, Alessandro
A Hybrid Position Estimation Framework based on GNSS and Visual Sensor Fusion Proceedings Article
In: IEEE/ION Position, Location and Navigation Symposium (PLANS), 2020.
@inproceedings{Baldoni_Plans_2020_hybrid,
title = {A Hybrid Position Estimation Framework based on GNSS and Visual Sensor Fusion},
author = {Sara Baldoni and Federica Battisti and Michele Brizzi and Alessandro Neri},
doi = {10.1109/PLANS46316.2020.9110123},
year = {2020},
date = {2020-01-01},
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2019
Brizzi, Michele; Battisti, Federica; Neri, Alessandro
A feature-based approach for light field video enhancement Proceedings Article
In: pp. 1204-1209, 2019, (cited By 1).
@inproceedings{Brizzi20191204,
title = {A feature-based approach for light field video enhancement},
author = {Michele Brizzi and Federica Battisti and Alessandro Neri},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071045335&doi=10.1109%2fICME.2019.00210&partnerID=40&md5=3015d8ab17420bc4ce5520e9e9e74326},
doi = {10.1109/ICME.2019.00210},
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
journal = {Proceedings - IEEE International Conference on Multimedia and Expo},
volume = {2019-July},
pages = {1204-1209},
note = {cited By 1},
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Baldoni, Sara; Brizzi, Michele; Carli, Marco; Neri, Alessandro
A watermarking model for omni-directional digital images Proceedings Article
In: 11th International Symposium on Image and Signal Processing and Analysis (ISPA), pp. 240-245, 2019, (cited By 2).
@inproceedings{Baldoni_ISPA_2019,
title = {A watermarking model for omni-directional digital images},
author = {Sara Baldoni and Michele Brizzi and Marco Carli and Alessandro Neri},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074424567&doi=10.1109%2fISPA.2019.8868789&partnerID=40&md5=73ef40cc0bcc8caf00c5088cdee1c893},
doi = {10.1109/ISPA.2019.8868789},
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
booktitle = {11th International Symposium on Image and Signal Processing and Analysis (ISPA)},
volume = {2019-September},
pages = {240-245},
note = {cited By 2},
keywords = {},
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Brizzi, Michele; Battisti, Federica; Neri, Alessandro
Light Field Depth-of-Field Expansion and Enhancement Based on Multifocus Fusion Proceedings Article
In: 2019 8th European Workshop on Visual Information Processing (EUVIP), pp. 146-151, IEEE, 2019, (cited By 0).
@inproceedings{Brizzi2019146,
title = {Light Field Depth-of-Field Expansion and Enhancement Based on Multifocus Fusion},
author = {Michele Brizzi and Federica Battisti and Alessandro Neri},
url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8946218&isnumber=8946122},
doi = {10.1109/EUVIP47703.2019.8946218},
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
booktitle = {2019 8th European Workshop on Visual Information Processing (EUVIP)},
journal = {Proceedings - European Workshop on Visual Information Processing, EUVIP},
volume = {2019-October},
pages = {146-151},
publisher = {IEEE},
abstract = {Light Field imaging systems allow capturing a larger amount of information of a scene with respect to conventional cameras. In fact, light field cameras record, in a single shot, multiple instances of the same scene taken from slightly different points of view. This enables new applications, like digital refocusing and free-viewpoint content creation. The main drawback of this hardware is in the trade-off between spatial and angular resolution, which has an impact on the depth of field of the refocused images. In this paper we propose a technique for increasing the depth of field by means of mul-tifocus fusion and, at the same time, for enhancing the quality of the content. The available views are processed in the Laguerre Gauss transform domain to perform a selective enhancement that sharpens the selected depth layer and blurs the others. The performed experiments prove the effectiveness of the proposed approach.},
note = {cited By 0},
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Light Field imaging systems allow capturing a larger amount of information of a scene with respect to conventional cameras. In fact, light field cameras record, in a single shot, multiple instances of the same scene taken from slightly different points of view. This enables new applications, like digital refocusing and free-viewpoint content creation. The main drawback of this hardware is in the trade-off between spatial and angular resolution, which has an impact on the depth of field of the refocused images. In this paper we propose a technique for increasing the depth of field by means of mul-tifocus fusion and, at the same time, for enhancing the quality of the content. The available views are processed in the Laguerre Gauss transform domain to perform a selective enhancement that sharpens the selected depth layer and blurs the others. The performed experiments prove the effectiveness of the proposed approach.
2017
Johannsen, O.; Honauer, K.; Goldluecke, B.; Alperovich, A.; Battisti, Federica; Bok, Y.; Brizzi, Michele; Carli, Marco; Choe, G.; Diebold, M.; Gutsche, M.; Jeon, H. -G.; Kweon, I. S.; Park, J.; Park, J.; Schilling, H.; Sheng, H.; Si, L.; Strecke, M.; Sulc, A.; Tai, Y. -W.; Wang, Q.; Wang, T. -C.; Wanner, S.; Xiong, Z.; Yu, J.; Zhang, S.; Zhu, H.
A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms Proceedings Article
In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 1795-1812, 2017, (cited By 85).
@inproceedings{Johannsen20171795,
title = {A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms},
author = {O. Johannsen and K. Honauer and B. Goldluecke and A. Alperovich and Federica Battisti and Y. Bok and Michele Brizzi and Marco Carli and G. Choe and M. Diebold and M. Gutsche and H. -G. Jeon and I. S. Kweon and J. Park and J. Park and H. Schilling and H. Sheng and L. Si and M. Strecke and A. Sulc and Y. -W. Tai and Q. Wang and T. -C. Wang and S. Wanner and Z. Xiong and J. Yu and S. Zhang and H. Zhu},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030266612&doi=10.1109%2fCVPRW.2017.226&partnerID=40&md5=a40f124ba07f8fab7ce808d066663722},
doi = {10.1109/CVPRW.2017.226},
year = {2017},
date = {2017-01-01},
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booktitle = {IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops},
volume = {2017-July},
pages = {1795-1812},
note = {cited By 85},
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