Letizia Marchegiani

Orcid: 0000-0001-6782-6657

According to our database1, Letizia Marchegiani authored at least 30 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Short-Term Wireless Connectivity Prediction for Connected Agricultural Vehicles.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes.
IEEE Trans. Intell. Transp. Syst., 2022

Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images.
IEEE Robotics Autom. Lett., 2022

How Well Can Driverless Vehicles Hear? An Introduction to Auditory Perception for Autonomous and Smart Vehicles.
IEEE Intell. Transp. Syst. Mag., 2022

Editorial: Active Vision and Perception in Human-Robot Collaboration.
Frontiers Neurorobotics, 2022

A Survey on Machine Learning Software-Defined Wireless Sensor Networks (ML-SDWSNs): Current Status and Major Challenges.
IEEE Access, 2022

2021
Internet of Things (IoT) Connectivity in 6G: An Interplay of Time, Space, Intelligence, and Value.
CoRR, 2021

2020
From Bits of Data to Bits of Knowledge - An On-Board Classification Framework for Wearable Sensing Systems.
Sensors, 2020

Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Thermal Imaging on Smart Vehicles for Person and Road Detection: Can a Lazy Approach Work?
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019
Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments.
CoRR, 2019

Word Spotting in Background Music: a Behavioural Study.
Cogn. Comput., 2019

No Need to Scream: Robust Sound-Based Speaker Localisation in Challenging Scenarios.
Proceedings of the Social Robotics - 11th International Conference, 2019

Proactive Intention Recognition for Joint Human-Robot Search and Rescue Missions Through Monte-Carlo Planning in POMDP Environments.
Proceedings of the Social Robotics - 11th International Conference, 2019

Rethinking IoT Network Reliability in the Era of Machine Learning.
Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019

2018
Extending the battery lifetime of wearable sensors with embedded machine learning.
Proceedings of the 4th IEEE World Forum on Internet of Things, 2018

Learning to Listen to Your Ego-(motion): Metric Motion Estimation from Auditory Signals.
Proceedings of the Towards Autonomous Robotic Systems - 19th Annual Conference, 2018

Long-Term Driving Behaviour Modelling for Driver Identification.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017
Privacy Leakage of Physical Activity Levels in Wireless Embedded Wearable Systems.
IEEE Signal Process. Lett., 2017

Leveraging the urban soundscape: Auditory perception for smart vehicles.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Top-Down Attention Modelling in a Cocktail Party Scenario.
PhD thesis, 2016

Enabling intelligent energy management for robots using publicly available maps.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015
Scheduled perception for energy-efficient path following.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2013
A Behavioral Study on the Effects of Rock Music on Auditory Attention.
Proceedings of the Human Behavior Understanding - 4th International Workshop, 2013

2011
Top-down attentionwith features missing at random.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

The Role of Top-Down Attention in the Cocktail Party: Revisiting Cherry's Experiment after Sixty Years.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

How efficient is estimation with missing data?
Proceedings of the IEEE International Conference on Acoustics, 2011

What to measure next to improve decision making? On top-down task driven feature saliency.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence, 2011

2009
Multimodal Speaker Recognition in a Conversation Scenario.
Proceedings of the Computer Vision Systems, 2009


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