Publications
| Book Chapters |
Journals |
Conferences |
Abstracts and Posters |
Other |
Theses |
Peer-Reviewed Journal Papers
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M. Gadd, D. De Martini, O. Bartlett, P. Marcutt, M. Towlson, M. Widojo, V. Musat, L. Robinson, E. Panagiotaki, G. Pramatarov, M.A. Kuhn, L. Marchegiani , P. Newman, L. Kunze.
OORD: The Oxford O!road Radar Dataset.
IEEE Transactions on Intelligent Transportation Systems, Vol. 25, No. 11, pp. 19779 - 18790, 2024.
[draft]
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L. Marchegiani and P. Newman.
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes.
IEEE Transactions on Intelligent Transportation Systems, pp. 1 - 10, 2022.
[draft]
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F. F. Jurado Lasso, L. Marchegiani, J. F. Jurado, A. Abu-Mahfouz, and X. Fafoutis.
A Survey on Software-Defined Wireless Sensor Networks: Current status, machine learning approaches and major challenges.
IEEE Access, Vol. 10, pp. 23560-23592, 2022.
[open]
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D. Ognibene, T. Foulsham, L. Marchegiani , and G.M. Farinella.
Editorial: Active Vision and Perception in Human-Robot Collaboration.
Frontiers in Neurorobotics, Vol. 16, 2022.
[open]
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G. Humblot-Renaux, L. Marchegiani, T.B. Moeslund, and R. Gadde.
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images.
IEEE Robotics and Automation Letters (RA-L), Vol. 7, No.2, pp. 2913 - 2920, 2022.
[draft]
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L. Marchegiani and X. Fafoutis.
How Well Can Driverless Vehicles Hear? A Gentle Introduction to Auditory Perception for Autonomous and Smart Vehicles.
IEEE Intelligent Transportation Systems Magazine, Vol. 14, No. 3, pp. 92-105, 2022.
[draft]
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P. Zalewski, L. Marchegiani , A. Elsts, R. Piechocki, I. Craddock, and X. Fafoutis
From Bits of Data to Bits of Knowledge: An On-Board Classification Framework for Wearable Sensing Systems
Sensors, Vol. 20, No. 6, pp. 1-18, 2020.
[open]
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L. Marchegiani, and X. Fafoutis.
Word Spotting in Background Music: A Behavioural Study.
Cognitive Computation. Vol. 11, No. 5, pp. 711-718, 2019.
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D. Ognibene, G. Giglia, L. Marchegiani, and D. Rudrauf.
Implicit Perception Simplicity and Explicit Perception Complexity in Sensorimotor Communication.
Physics of Life Reviews, Vol. 28, pp. 36-38, 2019.
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L. Marchegiani, X. Fafoutis and S. Abbaspour.
Speech Identification and Comprehension in the Urban Soundscape.
Environments, Vol. 5, No. 5, 56, 2018. Featured Paper
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X. Fafoutis, L. Marchegiani, G. Z. Papadopoulos, R. Piechocki, T. Tryfonas and G. Oikonomou.
Privacy Leakage of Physical Activity Levels in Wireless Embedded Wearable Systems.
IEEE Signal Processing Letters. Vol. 24, No. 2, pp. 136-140, 2017.
[draft]
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L. Marchegiani and X. Fafoutis.
On Cross-Language Consonant Identification in Second Language Noise.
Journal of Acoustic Society of America, Vol. 138, No. 3, pp. 2206-2209, ASA, 2015.
[draft]
Peer-Reviewed Conference Papers
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B. Ö. Grétarsson, C. Orfanidis, L. Marchegiani, and X. Fafoutis.
Short-Term Wireless Connectivity Prediction for Connected Agricultural Vehicles..
In Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems (ITSC). 2023.
[draft]
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D. Williams, D. De Martini, M.Gadd, L. Marchegiani, and P. Newman.
Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision.
In Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC). 2020.
[draft]
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G. Humblot-Renaux, V. Li, D. Pinto, and L. Marchegiani.
Thermal Imaging on Smart Vehicles for Person and Road Detection: Can a Lazy Approach Work?
In Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC). 2020.
[draft]
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M. Gadd, D. De Martini, L. Marchegiani, P. Newman, L. Kunze.
Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios .
In Proceedings of the 31st IEEE Intelligent Vehicles Symposium (IV). 2020.
[draft]
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Tze Ho Elden Tse, D. De Martini and L. Marchegiani.
No Need to Scream: Robust Sound-based Speaker Localisation in Challenging Scenarios.
In Proceedings of the 11th International Conference on Social Robotics (ICSR), pp. 176-185, 2019.
[draft]
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D. Ognibene, L. Mirante and L. Marchegiani.
Proactive Intention Recognition for Joint Human-Robot Search and Rescue Missions through Monte-Carlo Planning in POMDP Environments.
In Proceedings of the 11th International Conference on Social Robotics (ICSR), pp. 332-343, 2019.
[draft]
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X. Fafoutis and L. Marchegiani.
Rethinking IoT Network Reliability in the Era of Machine Learning.
In Proceedings of the 12th IEEE International Conference on Internet of Things (iThings). IEEE, pp. 1112-1119, 2019.
[draft]
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L. Marchegiani, and I. Posner.
Long-term Driver Behaviour Modelling for Driver Identification.
In Proceedings of the 21st IEEE International Conference on Intelligent Transportation Systems (ITSC), pp. 913-919. IEEE. 2018.
[draft]
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L. Marchegiani, and P. Newman.
Learning to listen to your ego-(motion) : Metric Motion Estimation from Auditory Signals.
In Proceedings of the 19th Towards Autonomous Robotic Systems (TAROS) Conference, pp. 247-256, 2018.
Best Paper Award Runner-Up
[draft]
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X. Fafoutis, L. Marchegiani, A. Elsts, J. Pope, R. Piechocki and I. Craddock.
Extending the Battery Lifetime of Wearable Sensors with Embedded Machine Learning.
In Proceedings of the 4th IEEE World Forum on Internet of Things (IEEE WF-IoT), pp. 269-274, 2018.
[draft]
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L. Marchegiani, and I. Posner.
Leveraging the urban soundscape: Auditory perception for smart vehicles.
In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 6547-6554. IEEE. 2017.
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O. Bartlett, C. Gurau, L. Marchegiani and I. Posner.
Enabling intelligent energy management for robots using publicly available maps.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2224-2229, 2016.
[draft]
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P. Ondruska, C. Gurau, L. Marchegiani, C.H. Tong, and I. Posner.
Scheduled Perception for Energy-Efficient Path Following
In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 4799-4806. IEEE. 2015.
[draft]
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L. Marchegiani and X. Fafoutis.
A Behavioral Study on the Effects of Rock Music on Auditory Attention.
In Proceedings of the 4th International Workshop on Human Behavior Understanding (HBU) in conjunction with ACMMM 2013, Springer LNCS Vol. 8212, pp. 15-26, 2013.
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L. Marchegiani, S.G. Karadogan, T. Andersen, J. Larsen and L.K. Hansen.
The Role of Top-Down Attention in the Cocktail Party: Revisiting Cherry's Experiment after Sixty Years.
In Proceedings of the IEEE 10th International Conference on Machine Learning and Applications and Workshops (ICMLA), Vol. 1, pp. 183-188, 2011.
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S.G. Karadogan, L. Marchegiani, J. Larsen and L.K. Hansen.
Top-down attention with features missing at random.
In Proceedings of the IEEE 21th International Workshop on Machine Learning For Signal Processing (MLSP), pp. 1-6, 2011.
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S.G. Karadogan, L. Marchegiani, L.K. Hansen, and J. Larsen.
How efficient is estimation with missing data?.
In Proceedings of the IEEE 36th International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2260-2263, 2011.
[draft]
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L.K. Hansen, S.G. Karadogan, and L. Marchegiani.
What to measure next to improve decision making? On top-down task driven feature saliency..
In Proceedings of the IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), pp. 1–7, 2011.
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L. Marchegiani, M.Pizzoli, and F. Pirri.
Multimodal speaker recognition in a conversation scenario.
In Proceedings of the International Conference on Computer Vision Systems (ICVS), pp 11-20, 2009.
Peer-Reviewed Abstracts and Posters
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A. Dionigi, K. Vinciguerra, G. Costante and L. Marchegiani.
Listen, See and Act: Fusing Audio-Video Cues to Develop Novel Navigation Solutions for Autonomous Vehicles.
40th Anniversary, IEEE International Conference on Robotics and Automation (ICRA@40), 2024.
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D. Williams, D. De Martini, L. Marchegiani, and P. Newman.
Listening closely to see far away: Radar-based terrain classification from auditory signals.
International Conference on Digital Image & Signal Processing (DISP), 2019.
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L. Marchegiani and S.G. Karadogan.
Task-driven Attention and Speech Perception in a Cocktail-Party Scenario.
In Proceedings of the 5th Workshop on Speech in Noise: Intelligibility and Quality (SPIN), 2013.
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L. Marchegiani and F. Pirri.
Selective attention for voice matching and recognition.
Workshop of Women in Machine Learning, in conjunction with the Annual Conference on Neural Information Processing Systems (NIPS), 2009.
Arxivs and Technical Reports
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M. Gadd, D. De Martini, O. Bartlett, P. Murcutt, M. Towlson, M. Widojo, V. Muşat, L. Robinson, E. Panagiotaki, G. Pramatarov, M.A. KuËhn, L. Marchegiani, P. Newman, L. Kunze
OORD: The Oxford Offroad Radar Dataset.
arXiv.org, 2024.
[draft]
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P. Popovski, F. Chiariotti, V. Croisfelt, A.E. Kalør, I. Leyva-Mayorga, L. Marchegiani, S.R. Pandey, and B. Soret.
Internet of Things (IoT) Connectivity in 6G: An Interplay of Time, Space, Intelligence, and Value.
arXiv.org, 2021.
[draft]
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B.G. Maciel-Pearson, L. Marchegiani, S. Akcay, A. Atapour-Abarghouei, J. Garforth, and T.P. Breckon.
Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments.
arXiv.org, 2019.
[draft]
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L. Marchegiani, and P. Newman.
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes.
arXiv.org, 2018.
[draft]
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L. Marchegiani.
Consonant Identification in N-Talker Babble.
FP7 Marie Curie Initial Training Network "Investigating Speech Processing In Realistic Environments" (INSPIRE) Report, 2013.
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L. Marchegiani.
The Reference Recogniser.
FP7 Marie Curie Initial Training Network "Investigating Speech Processing In Realistic Environments" (INSPIRE) Report, 2013.
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L. Marchegiani, M. Pizzoli, and F. Pirri.
Multimodal speaker recognition in a conversation scenario.
DIS -Department of Computer and System Sciences - Technical Report 7, 2009.
[open]
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2009 - 2018
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