Daniele De Martini

117 papers A* 11A 6B 1C 7Journal 71Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
3D Foundation Model-Based Loop Closing for Decentralized Collaborative SLAM.
CoRR
Pierre-Yves Lajoie, Benjamin Ramtoula, Daniele De Martini, Giovanni Beltrame
2026 J jnl
Robot-relay: building-wide, calibration-less visual servoing with learned sensor handover networks.
Auton. Robots
Luke Robinson, Matthew Gadd, Paul Newman, Daniele De Martini
2025 J jnl
3D Foundation Model-Based Loop Closing for Decentralized Collaborative SLAM.
IEEE Robotics Autom. Lett.
Pierre-Yves Lajoie, Benjamin Ramtoula, Daniele De Martini, Giovanni Beltrame
2025 — conf
Ensemble of Pre-Trained Models for Long-Tailed Trajectory Prediction.
ITSC
Divya Thuremella, Yi Yang, Simon Wanna, Lars Kunze, Daniele De Martini
2025 J jnl
Ensemble of Pre-Trained Models for Long-Tailed Trajectory Prediction.
CoRR
Divya Thuremella, Yi Yang, Simon Wanna, Lars Kunze, Daniele De Martini
2025 J jnl
Fantastic Features and Where to Find Them: A Probing Method to combine Features from Multiple Foundation Models.
CoRR
Benjamin Ramtoula, Pierre-Yves Lajoie, Paul Newman, Daniele De Martini
2025 A conf
GraphSCENE: On-Demand Critical Scenario Generation for Autonomous Vehicles in Simulation.
IROS
Efimia Panagiotaki, Georgi Pramatarov, Lars Kunze, Daniele De Martini
2025 J jnl
Introspection in Learned Semantic Scene Graph Localisation.
CoRR
Manshika Charvi Bissessur, Efimia Panagiotaki, Daniele De Martini
2025 J jnl
LikePhys: Evaluating Intuitive Physics Understanding in Video Diffusion Models via Likelihood Preference.
CoRR
Jianhao Yuan, Fabio Pizzati, Francesco Pinto, Lars Kunze, Ivan Laptev, Paul Newman, Philip Torr, Daniele De Martini
2025 A conf
MinkOcc: Towards real-time label-efficient semantic occupancy prediction.
IROS
Samuel Sze, Daniele De Martini, Lars Kunze
2025 J jnl
MinkOcc: Towards real-time label-efficient semantic occupancy prediction.
CoRR
Samuel Sze, Daniele De Martini, Lars Kunze
2025 J jnl
Neural-MMGS: Multi-modal Neural Gaussian Splats for Large-Scale Scene Reconstruction.
CoRR
Sitian Shen, Georgi Pramatarov, Yifu Tao, Daniele De Martini
2025 J jnl
Select2Plan: Training-Free ICL-Based Planning Through VQA and Memory Retrieval.
IEEE Robotics Autom. Lett.
Davide Buoso, Luke Robinson, Giuseppe Averta, Philip Torr, Tim Franzmeyer, Daniele De Martini
2025 J jnl
Task-Oriented Co-Design of Communication, Computing, and Control for Edge-Enabled Industrial Cyber-Physical Systems.
CoRR
Yufeng Diao, Yichi Zhang, Daniele De Martini, Philip Guodong Zhao, Emma Liying Li
2025 J jnl
Task-Oriented Co-Design of Communication, Computing, and Control for Edge-Enabled Industrial Cyber-Physical Systems.
IEEE J. Sel. Areas Commun.
Yufeng Diao, Yichi Zhang, Daniele De Martini, Guodong Zhao, Emma Liying Li
2025 A conf
Tiny LiDARs for Manipulator Self-Awareness: Sensor Characterization and Initial Localization Experiments.
IROS
Giammarco Caroleo, Alessandro Albini, Daniele De Martini, Timothy D. Barfoot, Perla Maiolino
2025 J jnl
Tiny Lidars for Manipulator Self-Awareness: Sensor Characterization and Initial Localization Experiments.
CoRR
Giammarco Caroleo, Alessandro Albini, Daniele De Martini, Timothy D. Barfoot, Perla Maiolino
2024 J jnl
CERES: Critical-Event Reconstruction via Temporal Scene Graph Completion.
CoRR
Efimia Panagiotaki, Georgi Pramatarov, Lars Kunze, Daniele De Martini
2024 J jnl
Masked Gamma-SSL: Learning Uncertainty Estimation via Masked Image Modeling.
CoRR
David S. W. Williams, Matthew Gadd, Paul Newman, Daniele De Martini
2024 A* conf
Masked γ-SSL: Learning Uncertainty Estimation via Masked Image Modeling.
ICRA
David S. W. Williams, Matthew Gadd, Paul Newman, Daniele De Martini
2024 J jnl
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation From Unlabeled Data.
IEEE Trans. Robotics
David S. W. Williams, Daniele De Martini, Matthew Gadd, Paul Newman
2024 J jnl
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data.
CoRR
David S. W. Williams, Daniele De Martini, Matthew Gadd, Paul Newman
2024 J jnl
NAR-*ICP: Neural Execution of Classical ICP-based Pointcloud Registration Algorithms.
CoRR
Efimia Panagiotaki, Daniele De Martini, Lars Kunze, Petar Velickovic
2024 J jnl
NeRFoot: Robot-Footprint Estimation for Image-Based Visual Servoing.
CoRR
Daoxin Zhong, Luke Robinson, Daniele De Martini
2024 A conf
NeuralFloors++: Consistent Street-Level Scene Generation From BEV Semantic Maps.
IROS
Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman
2024 J jnl
NeuralFloors: Conditional Street-Level Scene Generation From BEV Semantic Maps via Neural Fields.
IEEE Robotics Autom. Lett.
Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman
2024 J jnl
OORD: The Oxford Offroad Radar Dataset.
CoRR
Matthew Gadd, Daniele De Martini, Oliver Bartlett, Paul Murcutt, Matthew Towlson, Matthew Widojo, Valentina Musat, Luke Robinson, Efimia Panagiotaki, Georgi Pramatarov, Marc Alexander Kühn, Letizia Marchegiani, Paul Newman, Lars Kunze
2024 J jnl
OORD: The Oxford Offroad Radar Dataset.
IEEE Trans. Intell. Transp. Syst.
Matthew Gadd, Daniele De Martini, Oliver Bartlett, Paul Murcutt, Matthew Towlson, Matthew Widojo, Valentina Musat, Luke Robinson, Efimia Panagiotaki, Georgi Pramatarov, Marc Alexander Kühn, Letizia Marchegiani, Paul Newman, Lars Kunze
2024 J jnl
Real-time cyber/physical interplay in scheduling for peak load optimisation in Cyber-Physical Energy Systems.
Intell. Syst. Appl.
Daniele De Martini, Guido Benetti, Tullio Facchinetti
2024 C conf
RobotCycle: Assessing Cycling Safety in Urban Environments.
IV
Efimia Panagiotaki, Tyler Reinmund, Stephan Mouton, Luke Pitt, Arundathi Shaji Shanthini, Wayne Tubby, Matthew Towlson, Samuel Sze, Brian Liu, Chris Prahacs, Daniele De Martini, Lars Kunze
2024 J jnl
RobotCycle: Assessing Cycling Safety in Urban Environments.
CoRR
Efimia Panagiotaki, Tyler Reinmund, Brian Liu, Stephan Mouton, Luke Pitt, Arundathi Shaji Shanthini, Matthew Towlson, Wayne Tubby, Chris Prahacs, Daniele De Martini, Lars Kunze
2024 J jnl
Select2Plan: Training-Free ICL-Based Planning through VQA and Memory Retrieval.
CoRR
Davide Buoso, Luke Robinson, Giuseppe Averta, Philip Torr, Tim Franzmeyer, Daniele De Martini
2024 — conf
TAGIC: Task-Guided Image Communication Framework for Seamless Teleoperation.
INFOCOM (Workshops)
Yufeng Diao, Yichi Zhang, Philip G. Zhao, Daniele De Martini
2024 A* conf
That's My Point: Compact Object-centric LiDAR Pose Estimation for Large-scale Outdoor Localisation.
ICRA
Georgi Pramatarov, Matthew Gadd, Paul Newman, Daniele De Martini
2024 J jnl
That's My Point: Compact Object-centric LiDAR Pose Estimation for Large-scale Outdoor Localisation.
CoRR
Georgi Pramatarov, Matthew Gadd, Paul Newman, Daniele De Martini
2024 A* conf
VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition.
ICRA
Benjamin Ramtoula, Daniele De Martini, Matthew Gadd, Paul Newman
2024 J jnl
VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition.
CoRR
Benjamin Ramtoula, Daniele De Martini, Matthew Gadd, Paul M. Newman
2024 J jnl
Watching Grass Grow: Long-term Visual Navigation and Mission Planning for Autonomous Biodiversity Monitoring.
CoRR
Matthew Gadd, Daniele De Martini, Luke Pitt, Wayne Tubby, Matthew Towlson, Chris Prahacs, Oliver Bartlett, John Jackson, Man Qi, Paul Newman, Andrew Hector, Roberto Salguero-Gómez, Nick Hawes
2023 — conf
Doppler-Aware Odometry from FMCW Scanning Radar.
ITSC
Fraser Rennie, David S. W. Williams, Paul Newman, Daniele De Martini
2023 J jnl
Doppler-aware Odometry from FMCW Scanning Radar.
CoRR
Fraser Rennie, David S. W. Williams, Paul Newman, Daniele De Martini
2023 A* conf
Explainable Action Prediction through Self-Supervision on Scene Graphs.
ICRA
Pawit Kochakarn, Daniele De Martini, Daniel Omeiza, Lars Kunze
2023 J jnl
Explainable Action Prediction through Self-Supervision on Scene Graphs.
CoRR
Pawit Kochakarn, Daniele De Martini, Daniel Omeiza, Lars Kunze
2023 J jnl
Point-based metric and topological localisation between lidar and overhead imagery.
Auton. Robots
Tim Yuqing Tang, Daniele De Martini, Paul Newman
2023 J jnl
Robot-Relay : Building-Wide, Calibration-Less Visual Servoing with Learned Sensor Handover Network.
CoRR
Luke Robinson, Matthew Gadd, Paul Newman, Daniele De Martini
2023 — conf
Robot-Relay: Building-Wide, Calibration-Less Visual Servoing with Learned Sensor Handover Networks.
ISER
Luke Robinson, Matthew Gadd, Paul Newman, Daniele De Martini
2023 — conf
Roll-Drop: accounting for observation noise with a single parameter.
L4DC
Luigi Campanaro, Daniele De Martini, Siddhant Gangapurwala, Wolfgang Merkt, Ioannis Havoutis
2023 J jnl
Roll-Drop: accounting for observation noise with a single parameter.
CoRR
Luigi Campanaro, Daniele De Martini, Siddhant Gangapurwala, Wolfgang Merkt, Ioannis Havoutis
2023 — conf
SEM-GAT: Explainable Semantic Pose Estimation Using Learned Graph Attention.
ICAR
Efimia Panagiotaki, Daniele De Martini, Georgi Pramatarov, Matthew Gadd, Lars Kunze
2023 J jnl
SEM-GAT: Explainable Semantic Pose Estimation using Learned Graph Attention.
CoRR
Efimia Panagiotaki, Daniele De Martini, Georgi Pramatarov, Matthew Gadd, Lars Kunze
2023 J jnl
Sampling, Communication, and Prediction Co-Design for Synchronizing the Real-World Device and Digital Model in Metaverse.
IEEE J. Sel. Areas Commun.
Zhen Meng, Changyang She, Guodong Zhao, Daniele De Martini
2023 — conf
Self-Supervised Lidar Place Recognition in Overhead Imagery Using Unpaired Data.
Robotics: Science and Systems
Tim Y. Tang, Daniele De Martini, Paul M. Newman
2023 — conf
Semantic Interpretation and Validation of Graph Attention-Based Explanations for GNN Models.
ICAR
Efimia Panagiotaki, Daniele De Martini, Lars Kunze
2023 J jnl
Semantic Interpretation and Validation of Graph Attention-based Explanations for GNN Models.
CoRR
Efimia Panagiotaki, Daniele De Martini, Lars Kunze
2023 A* conf
Visual DNA: Representing and Comparing Images Using Distributions of Neuron Activations.
CVPR
Benjamin Ramtoula, Matthew Gadd, Paul Newman, Daniele De Martini
2023 J jnl
Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations.
CoRR
Benjamin Ramtoula, Matthew Gadd, Paul Newman, Daniele De Martini
2023 A conf
Visual Servoing on Wheels: Robust Robot Orientation Estimation in Remote Viewpoint Control.
IROS
Luke Robinson, Daniele De Martini, Matthew Gadd, Paul Newman
2023 J jnl
Visual Servoing on Wheels: Robust Robot Orientation Estimation in Remote Viewpoint Control.
CoRR
Luke Robinson, Daniele De Martini, Matthew Gadd, Paul Newman
2023 J jnl
Visuo-Tactile Recognition of Partial Point Clouds Using PointNet and Curriculum Learning: Enabling Tactile Perception from Visual Data.
IEEE Robotics Autom. Mag.
Christopher Parsons, Alessandro Albini, Daniele De Martini, Perla Maiolino
2023 — conf
What You See Is What You Get: Experience Ranking with Deep Neural Dataset-to-Dataset Similarity for Topological Localisation.
ISER
Matthew Gadd, Benjamin Ramtoula, Daniele De Martini, Paul Newman
2023 J jnl
What you see is what you get: Experience ranking with deep neural dataset-to-dataset similarity for topological localisation.
CoRR
Matthew Gadd, Benjamin Ramtoula, Daniele De Martini, Paul Newman
2022 A conf
BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR.
IROS
Georgi Pramatarov, Daniele De Martini, Matthew Gadd, Paul Newman
2022 J jnl
BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR.
CoRR
Georgi Pramatarov, Daniele De Martini, Matthew Gadd, Paul Newman
2022 A* conf
Depth-SIMS: Semi-Parametric Image and Depth Synthesis.
ICRA
Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman
2022 J jnl
Depth-SIMS: Semi-Parametric Image and Depth Synthesis.
CoRR
Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman
2022 A* conf
Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry.
ICRA
Rob Weston, Matthew Gadd, Daniele De Martini, Paul Newman, Ingmar Posner
2022 J jnl
Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry.
CoRR
Rob Weston, Matthew Gadd, Daniele De Martini, Paul Newman, Ingmar Posner
2022 J jnl
Sampling, Communication, and Prediction Co-Design for Synchronizing the Real-World Device and Digital Model in Metaverse.
CoRR
Zhen Meng, Changyang She, Guodong Zhao, Daniele De Martini
2022 J jnl
What Goes Around: Leveraging a Constant-Curvature Motion Constraint in Radar Odometry.
IEEE Robotics Autom. Lett.
Roberto Aldera, Matthew Gadd, Daniele De Martini, Paul Newman
2022 J jnl
What Goes Around: Leveraging a Constant-curvature Motion Constraint in Radar Odometry.
CoRR
Roberto Aldera, Matthew Gadd, Daniele De Martini, Paul Newman
2021 J jnl
CPG-ACTOR: Reinforcement Learning for Central Pattern Generators.
CoRR
Luigi Campanaro, Siddhant Gangapurwala, Daniele De Martini, Wolfgang Merkt, Ioannis Havoutis
2021 — conf
CPG-Actor: Reinforcement Learning for Central Pattern Generators.
TAROS
Luigi Campanaro, Siddhant Gangapurwala, Daniele De Martini, Wolfgang Merkt, Ioannis Havoutis
2021 — conf
Contrastive Learning for Unsupervised Radar Place Recognition.
ICAR
Matthew Gadd, Daniele De Martini, Paul Newman
2021 J jnl
Contrastive Learning for Unsupervised Radar Place Recognition.
CoRR
Matthew Gadd, Daniele De Martini, Paul Newman
2021 A* conf
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning.
ICRA
David S. W. Williams, Matthew Gadd, Daniele De Martini, Paul M. Newman
2021 J jnl
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning.
CoRR
David S. W. Williams, Matthew Gadd, Daniele De Martini, Paul Newman
2021 — conf
Get to the Point: Learning Lidar Place Recognition and Metric Localisation Using Overhead Imagery.
Robotics: Science and Systems
Tim Y. Tang, Daniele De Martini, Paul Newman
2021 J jnl
Online Fall Detection Using Recurrent Neural Networks on Smart Wearable Devices.
IEEE Trans. Emerg. Top. Comput.
Mirto Musci, Daniele De Martini, Nicola Blago, Tullio Facchinetti, Marco Piastra
2021 A* conf
RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery.
AAAI
Christian Schröder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Alfredo Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski
2021 J jnl
Self-supervised learning for using overhead imagery as maps in outdoor range sensor localization.
Int. J. Robotics Res.
Tim Y. Tang, Daniele De Martini, Shangzhe Wu, Paul Newman
2021 — conf
The Oxford Road Boundaries Dataset.
IV Workshops
Tarlan Suleymanov, Matthew Gadd, Daniele De Martini, Paul Newman
2021 J jnl
The Oxford Road Boundaries Dataset.
CoRR
Tarlan Suleymanov, Matthew Gadd, Daniele De Martini, Paul Newman
2021 J jnl
Unsupervised Change Detection of Extreme Events Using ML On-Board.
CoRR
Vít Ruzicka, Anna Vaughan, Daniele De Martini, James Fulton, Valentina Salvatelli, Chris Bridges, Gonzalo Mateo-Garcia, Valentina Zantedeschi
2021 J jnl
Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos.
CoRR
Matthew Gadd, Daniele De Martini, Paul Newman
2020 C conf
Distributed architecture for a smart LEDs display system based on MQTT.
ETFA
Tullio Facchinetti, Andrea Bonandin, Guido Benetti, Daniele De Martini
2020 — conf
Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision.
ITSC
David S. W. Williams, Daniele De Martini, Matthew Gadd, Letizia Marchegiani, Paul Newman
2020 J jnl
Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision.
CoRR
David S. W. Williams, Daniele De Martini, Matthew Gadd, Letizia Marchegiani, Paul Newman
2020 A* conf
Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning.
ICRA
Stefan Saftescu, Matthew Gadd, Daniele De Martini, Dan Barnes, Paul Newman
2020 J jnl
Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning.
CoRR
Stefan Saftescu, Matthew Gadd, Daniele De Martini, Dan Barnes, Paul Newman
2020 — conf
Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance.
PLANS
Matthew Gadd, Daniele De Martini, Paul Newman
2020 J jnl
Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance.
CoRR
Matthew Gadd, Daniele De Martini, Paul Newman
2020 J jnl
RSL-Net: Localising in Satellite Images From a Radar on the Ground.
CoRR
Tim Y. Tang, Daniele De Martini, Dan Barnes, Paul Newman
2020 J jnl
RSL-Net: Localising in Satellite Images From a Radar on the Ground.
IEEE Robotics Autom. Lett.
Tim Yuqing Tang, Daniele De Martini, Dan Barnes, Paul Newman
2020 C conf
RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar.
IV
Prannay Kaul, Daniele De Martini, Matthew Gadd, Paul Newman
2020 J jnl
RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar.
CoRR
Prannay Kaul, Daniele De Martini, Matthew Gadd, Paul Newman
2020 J jnl
RainBench: Towards Global Precipitation Forecasting from Satellite Imagery.
CoRR
Christian Schröder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Freddie Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski
2020 — conf
Self-Supervised Localisation between Range Sensors and Overhead Imagery.
Robotics: Science and Systems
Tim Y. Tang, Daniele De Martini, Shangzhe Wu, Paul Newman
2020 J jnl
Self-Supervised Localisation between Range Sensors and Overhead Imagery.
CoRR
Tim Y. Tang, Daniele De Martini, Shangzhe Wu, Paul Newman
2020 C conf
Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios.
IV
Matthew Gadd, Daniele De Martini, Letizia Marchegiani, Paul Newman, Lars Kunze
2020 J jnl
Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios.
CoRR
Matthew Gadd, Daniele De Martini, Letizia Marchegiani, Paul Newman, Lars Kunze
2020 J jnl
kRadar++: Coarse-to-Fine FMCW Scanning Radar Localisation.
Sensors
Daniele De Martini, Matthew Gadd, Paul Newman
2019 C conf
Fall Detection with Supervised Machine Learning using Wearable Sensors.
INDIN
Davide Giuffrida, Guido Benetti, Daniele De Martini, Tullio Facchinetti
2019 A* conf
Fast Radar Motion Estimation with a Learnt Focus of Attention using Weak Supervision.
ICRA
Roberto Aldera, Daniele De Martini, Matthew Gadd, Paul Newman
2019 B conf
No Need to Scream: Robust Sound-Based Speaker Localisation in Challenging Scenarios.
ICSR
Tze Ho Elden Tse, Daniele De Martini, Letizia Marchegiani
2019 — conf
The Hulk: Design and Development of a Weather-Proof Vehicle for Long-Term Autonomy in Outdoor Environments.
FSR
Stephen Kyberd, Jonathan Attias, Peter Get, Paul Murcutt, Chris Prahacs, Matthew Towlson, Simon Venn, Andreia Vasconcelos, Matthew Gadd, Daniele De Martini, Paul Newman
2019 — conf
What Could Go Wrong? Introspective Radar Odometry in Challenging Environments.
ITSC
Roberto Aldera, Daniele De Martini, Matthew Gadd, Paul Newman
2018 C conf
A Comparison of RSSI Filtering Techniques for Range-based Localization.
ETFA
Moses A. Koledoye, Daniele De Martini, Simone Rigoni, Tullio Facchinetti
2018 — conf
Cyber/physical interplay in the real-time scheduling for peak load optimization of electric loads.
ICPS
Daniele De Martini, Guido Benetti, Tullio Facchinetti
2018 J jnl
Online Fall Detection using Recurrent Neural Networks.
CoRR
Mirto Musci, Daniele De Martini, Nicola Blago, Tullio Facchinetti, Marco Piastra
2017 C conf
A Framework for Automatic Generation of Fuzzy Evaluation Systems for Embedded Applications.
IJCCI
Daniele De Martini, Gianluca Roveda, Alessandro Bertini, Agnese Marchini, Tullio Facchinetti
2017 J jnl
Adaptive Real-Time Scheduling of Cyber-Physical Energy Systems.
ACM Trans. Cyber Phys. Syst.
Daniele De Martini, Guido Benetti, Marco L. Della Vedova, Tullio Facchinetti
2017 J jnl
Design and Modeling of a Quadcopter with Double Axis Tilting Rotors.
Unmanned Syst.
Daniele De Martini, Giuseppe Valerio Gramazio, Alessandro Bertini, Carlo Rottenbacher, Tullio Facchinetti
2017 J jnl
Design of a Mobile Robot for Air Ducts Exploration.
Robotics
Moses A. Koledoye, Daniele De Martini, Massimo Carvani, Tullio Facchinetti
2017 — conf
Peak load optimization through 2-dimensional packing and multi-processor real-time scheduling.
Conf. Computing Frontiers
Daniele De Martini, Guido Benetti, Filippo Cipolla, Davide Caprino, Marco L. Della Vedova, Tullio Facchinetti
2017 — conf
eduMorse: An Open-Source Framework for Mobile Robotics Education.
RiE
Daniele De Martini, Andrea Bonandin, Tullio Facchinetti
2016 J jnl
Reproducibility Probability Estimation and RP-Testing for Some Nonparametric Tests.
Entropy
Lucio De Capitani, Daniele De Martini
2011 J jnl
Robustness and Corrections for Sample Size Adaptation Strategies Based on Effect Size Estimation.
Commun. Stat. Simul. Comput.
Daniele De Martini
2008 J jnl
Evaluating the Risk in Sample Size Determination.
Commun. Stat. Simul. Comput.
Daniele De Martini