Davide Scaramuzza

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 351

Top Venues

CoRR

IEEE Robotics Autom. Lett.

ICRA

IROS

Publications

Angel Romero, Yunlong Song, Davide Scaramuzza
Actor-Critic Model Predictive Control. ICRA (2024)
Jiaxu Xing, Angel Romero, Leonard Bauersfeld, Davide Scaramuzza
Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight. CoRR (2024)
Ismail Geles, Leonard Bauersfeld, Angel Romero, Jiaxu Xing, Davide Scaramuzza
Demonstrating Agile Flight from Pixels without State Estimation. CoRR (2024)
Nico Messikommer, Giovanni Cioffi, Mathias Gehrig, Davide Scaramuzza
Reinforcement Learning Meets Visual Odometry. CoRR (2024)
Daniel Gehrig, Davide Scaramuzza
Low-latency automotive vision with event cameras. Nat. 629 (8014) (2024)
Ashish Devadas Nair, Julien Kindle, Plamen Levchev, Davide Scaramuzza
Hilti SLAM Challenge 2023: Benchmarking Single + Multi-Session SLAM Across Sensor Constellations in Construction. IEEE Robotics Autom. Lett. 9 (8) (2024)
Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza
Revisiting Token Pruning for Object Detection and Instance Segmentation. WACV (2024)
Leonard Bauersfeld, Koen Muller, Dominic Ziegler, Filippo Coletti, Davide Scaramuzza
Robotics meets Fluid Dynamics: A Characterization of the Induced Airflow around a Quadrotor. CoRR (2024)
Yunlong Song, Sangbae Kim, Davide Scaramuzza
Learning Quadruped Locomotion Using Differentiable Simulation. CoRR (2024)
Nikola Zubic, Mathias Gehrig, Davide Scaramuzza
State Space Models for Event Cameras. CoRR (2024)
Marco Cannici, Davide Scaramuzza
Mitigating Motion Blur in Neural Radiance Fields with Events and Frames. CoRR (2024)
Mohammed Salah, Abdulla Ayyad, Muhammad Humais, Daniel Gehrig, Abdelqader Abusafieh, Lakmal D. Seneviratne, Davide Scaramuzza, Yahya H. Zweiri
E-Calib: A Fast, Robust, and Accurate Calibration Toolbox for Event Cameras. IEEE Trans. Image Process. 33 (2024)
Maria Krinner, Angel Romero, Leonard Bauersfeld, Melanie N. Zeilinger, Andrea Carron, Davide Scaramuzza
Time-Optimal Flight with Safety Constraints and Data-driven Dynamics. CoRR (2024)
Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, Angel Romero, Robert Penicka, Yunlong Song, Giovanni Cioffi, Elia Kaufmann, Davide Scaramuzza
Autonomous Drone Racing: A Survey. IEEE Trans. Robotics 40 (2024)
Aníbal Ollero, Alejandro Suárez, Christos Papaioannidis, Ioannis Pitas, Juan M. Marredo, Viet Duong Hoang, Emad Ebeid, Vít Krátký, Martin Saska, Chloe Hanoune, Amr Afifi, Antonio Franchi, Charalampos Vourtsis, Dario Floreano, Goran Vasiljevic, Stjepan Bogdan, Alvaro Caballero, Fabio Ruggiero, Vincenzo Lippiello, Carlos Matilla, Giovanni Cioffi, Davide Scaramuzza, José Ramiro Martinez de Dios, Begoña C. Arrue, Carlos Martín, Krzysztof Zurad, Carlos Gaitan, Jacob Rodriguez, Antonio Munoz, Antidio Viguria
AERIAL-CORE: AI-Powered Aerial Robots for Inspection and Maintenance of Electrical Power Infrastructures. CoRR (2024)
Nico Messikommer, Yunlong Song, Davide Scaramuzza
Contrastive Initial State Buffer for Reinforcement Learning. ICRA (2024)
Ashish Devadas Nair, Julien Kindle, Plamen Levchev, Davide Scaramuzza
Hilti SLAM Challenge 2023: Benchmarking Single + Multi-session SLAM across Sensor Constellations in Construction. CoRR (2024)
Yunlong Song, Davide Scaramuzza
Agile Robotics: Optimal Control, Reinforcement Learning, and Differentiable Simulation. CoRR (2024)
Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza
Dense Continuous-Time Optical Flow From Event Cameras. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
Letizia Gionfrida, Daekyum Kim, Davide Scaramuzza, Dario Farina, Robert D. Howe
Wearable robots for the real world need vision. Sci. Robotics 9 (90) (2024)
Nikola Zubic, Federico Soldà, Aurelio Sulser, Davide Scaramuzza
Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory. CoRR (2024)
Jiaxu Xing, Leonard Bauersfeld, Yunlong Song, Chunwei Xing, Davide Scaramuzza
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight. ICRA (2024)
Ling Gao, Daniel Gehrig, Hang Su, Davide Scaramuzza, Laurent Kneip
An N-Point Linear Solver for Line and Motion Estimation with Event Cameras. CoRR (2024)
Manasi Muglikar, Siddharth Somasundaram, Akshat Dave, Edoardo Charbon, Ramesh Raskar, Davide Scaramuzza
Event Cameras Meet SPADs for High-Speed, Low-Bandwidth Imaging. CoRR (2024)
Ling Gao, Hang Su, Daniel Gehrig, Marco Cannici, Davide Scaramuzza, Laurent Kneip
A 5-Point Minimal Solver for Event Camera Relative Motion Estimation. CoRR (2023)
Benedek Forrai, Takahiro Miki, Daniel Gehrig, Marco Hutter, Davide Scaramuzza
Event-based Agile Object Catching with a Quadrupedal Robot. CoRR (2023)
Davide Scaramuzza, Elia Kaufmann
Learning Agile, Vision-based Drone Flight: from Simulation to Reality. CoRR (2023)
Yannick Schnider, Stanislaw Wozniak, Mathias Gehrig, Jules Lecomte, Axel von Arnim, Luca Benini, Davide Scaramuzza, Angeliki Pantazi
Neuromorphic Optical Flow and Real-time Implementation with Event Cameras. CVPR Workshops (2023)
Leonard Bauersfeld, Elia Kaufmann, Davide Scaramuzza
User-Conditioned Neural Control Policies for Mobile Robotics. ICRA (2023)
Angel Romero, Yunlong Song, Davide Scaramuzza
Actor-Critic Model Predictive Control. CoRR (2023)
Mohammed Salah, Abdulla Ayyad, Muhammad Humais, Daniel Gehrig, Abdelqader Abusafieh, Lakmal D. Seneviratne, Davide Scaramuzza, Yahya H. Zweiri
E-Calib: A Fast, Robust and Accurate Calibration Toolbox for Event Cameras. CoRR (2023)
Leyla Loued-Khenissi, Christian Pfeiffer, Rupal Saxena, Shivam Adarsh, Davide Scaramuzza
Microgravity Induces Overconfidence in Perceptual Decision-making. CoRR (2023)
Simon Klenk, Lukas Koestler, Davide Scaramuzza, Daniel Cremers
E-NeRF: Neural Radiance Fields From a Moving Event Camera. IEEE Robotics Autom. Lett. 8 (3) (2023)
Benedek Forrai, Takahiro Miki, Daniel Gehrig, Marco Hutter, Davide Scaramuzza
Event-based Agile Object Catching with a Quadrupedal Robot. ICRA (2023)
Yunlong Song, Kexin Shi, Robert Penicka, Davide Scaramuzza
Learning Perception-Aware Agile Flight in Cluttered Environments. ICRA (2023)
Jiawei Fu, Yunlong Song, Yan Wu, Fisher Yu, Davide Scaramuzza
Learning Deep Sensorimotor Policies for Vision-Based Autonomous Drone Racing. IROS (2023)
Yunlong Song, Angel Romero, Matthias Mueller, Vladlen Koltun, Davide Scaramuzza
Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning. CoRR (2023)
Asude Aydin, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza
A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception. CoRR (2023)
Giovanni Cioffi, Leonard Bauersfeld, Davide Scaramuzza
HDVIO: Improving Localization and Disturbance Estimation with Hybrid Dynamics VIO. Robotics: Science and Systems (2023)
Rong Zou, Manasi Muglikar, Nico Messikommer, Davide Scaramuzza
Seeing Behind Dynamic Occlusions with Event Cameras. CoRR (2023)
Mathias Gehrig, Davide Scaramuzza
Recurrent Vision Transformers for Object Detection with Event Cameras. CVPR (2023)
Charith Munasinghe, Fatemeh Mohammadi Amin, Davide Scaramuzza, Hans Wernher van de Venn
COVERED, CollabOratiVE Robot Environment Dataset for 3D Semantic segmentation. CoRR (2023)
Giuseppe L'Erario, Drew Hanover, Angel Romero, Yunlong Song, Gabriele Nava, Paolo Maria Viceconte, Daniele Pucci, Davide Scaramuzza
Learning to Walk and Fly with Adversarial Motion Priors. CoRR (2023)
Nikola Zubic, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza
From Chaos Comes Order: Ordering Event Representations for Object Detection. CoRR (2023)
Manasi Muglikar, Leonard Bauersfeld, Diederik Paul Moeys, Davide Scaramuzza
Event-Based Shape from Polarization. CVPR (2023)
Nico Messikommer, Carter Fang, Mathias Gehrig, Davide Scaramuzza
Data-Driven Feature Tracking for Event Cameras. CVPR (2023)
Maryam Rezayati, Grammatiki Zanni, Ying Zaoshi, Davide Scaramuzza, Hans Wernher van de Venn
Improving safety in physical human-robot collaboration via deep metric learning. CoRR (2023)
Nico Messikommer, Yunlong Song, Davide Scaramuzza
Contrastive Initial State Buffer for Reinforcement Learning. CoRR (2023)
Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza
Revisiting Token Pruning for Object Detection and Instance Segmentation. CoRR (2023)
Jiaxu Xing, Giovanni Cioffi, Javier Hidalgo-Carrió, Davide Scaramuzza
Autonomous Power Line Inspection with Drones via Perception-Aware MPC. CoRR (2023)
Yannick Schnider, Stanislaw Wozniak, Mathias Gehrig, Jules Lecomte, Axel von Arnim, Luca Benini, Davide Scaramuzza, Angeliki Pantazi
Neuromorphic Optical Flow and Real-time Implementation with Event Cameras. CoRR (2023)
Nikola Zubic, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza
From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection. ICCV (2023)
Tim Salzmann, Elia Kaufmann, Jon Arrizabalaga, Marco Pavone, Davide Scaramuzza, Markus Ryll
Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms. IEEE Robotics Autom. Lett. 8 (4) (2023)
Elia Kaufmann, Leonard Bauersfeld, Antonio Loquercio, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
Champion-level drone racing using deep reinforcement learning. Nat. 620 (7976) (2023)
Nina Wiedemann, Valentin Wüest, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza
Training Efficient Controllers via Analytic Policy Gradient. ICRA (2023)
Lintong Zhang, Michael Helmberger, Lanke Frank Tarimo Fu, David Wisth, Marco Camurri, Davide Scaramuzza, Maurice F. Fallon
Hilti-Oxford Dataset: A Millimeter-Accurate Benchmark for Simultaneous Localization and Mapping. IEEE Robotics Autom. Lett. 8 (1) (2023)
Jiaxu Xing, Leonard Bauersfeld, Yunlong Song, Chunwei Xing, Davide Scaramuzza
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight. CoRR (2023)
Jiaxu Xing, Giovanni Cioffi, Javier Hidalgo-Carrió, Davide Scaramuzza
Autonomous Power Line Inspection with Drones via Perception-Aware MPC. IROS (2023)
Giovanni Cioffi, Leonard Bauersfeld, Davide Scaramuzza
HDVIO: Improving Localization and Disturbance Estimation with Hybrid Dynamics VIO. CoRR (2023)
Yunlong Song, Angel Romero, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
Reaching the limit in autonomous racing: Optimal control versus reinforcement learning. Sci. Robotics 8 (82) (2023)
Philipp Foehn, Elia Kaufmann, Angel Romero, Robert Penicka, Sihao Sun, Leonard Bauersfeld, Thomas Laengle, Giovanni Cioffi, Yunlong Song, Antonio Loquercio, Davide Scaramuzza
Agilicious: Open-Source and Open-Hardware Agile Quadrotor for Vision-Based Flight. CoRR (2023)
Giovanni Cioffi, Leonard Bauersfeld, Elia Kaufmann, Davide Scaramuzza
Learned Inertial Odometry for Autonomous Drone Racing. IEEE Robotics Autom. Lett. 8 (5) (2023)
Ling Gao, Hang Su, Daniel Gehrig, Marco Cannici, Davide Scaramuzza, Laurent Kneip
A 5-Point Minimal Solver for Event Camera Relative Motion Estimation. ICCV (2023)
Manasi Muglikar, Leonard Bauersfeld, Diederik Paul Moeys, Davide Scaramuzza
Event-based Shape from Polarization. CoRR (2023)
Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, Angel Romero, Robert Penicka, Yunlong Song, Giovanni Cioffi, Elia Kaufmann, Davide Scaramuzza
Autonomous Drone Racing: A Survey. CoRR (2023)
Yunlong Song, Davide Scaramuzza
Flymation: Interactive Animation for Flying Robots. CoRR (2023)
Roberto Pellerito, Marco Cannici, Daniel Gehrig, Joris Belhadj, Olivier Dubois-Matra, Massimo Casasco, Davide Scaramuzza
End-to-End Learned Event- and Image-based Visual Odometry. CoRR (2023)
Angel Romero, Shreedhar Govil, Gonca Yilmaz, Yunlong Song, Davide Scaramuzza
Weighted Maximum Likelihood for Controller Tuning. ICRA (2023)
Tim Salzmann, Elia Kaufmann, Marco Pavone, Davide Scaramuzza, Markus Ryll
Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms. CoRR (2022)
Giovanni Cioffi, Titus Cieslewski, Davide Scaramuzza
Continuous-Time vs. Discrete-Time Vision-based SLAM: A Comparative Study. CoRR (2022)
Christian Pfeiffer, Simon Wengeler, Antonio Loquercio, Davide Scaramuzza
Visual Attention Prediction Improves Performance of Autonomous Drone Racing Agents. CoRR (2022)
Daniel Gehrig, Davide Scaramuzza
Are High-Resolution Event Cameras Really Needed? CoRR (2022)
Stepan Tulyakov, Alfredo Bochicchio, Daniel Gehrig, Stamatios Georgoulis, Yuanyou Li, Davide Scaramuzza
Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion. CoRR (2022)
Leonard Bauersfeld, Davide Scaramuzza
Range, Endurance, and Optimal Speed Estimates for Multicopters. IEEE Robotics Autom. Lett. 7 (2) (2022)
Marziyeh Bamdad, Davide Scaramuzza, Alireza Darvishy
SLAM for Visually Impaired People: A Survey. CoRR (2022)
Yunlong Song, Kexin Shi, Robert Penicka, Davide Scaramuzza
Learning Perception-Aware Agile Flight in Cluttered Environments. CoRR (2022)
Angel Romero, Robert Penicka, Davide Scaramuzza
Time-Optimal Online Replanning for Agile Quadrotor Flight. CoRR (2022)
Robert Penicka, Davide Scaramuzza
Minimum-Time Quadrotor Waypoint Flight in Cluttered Environments. CoRR (2022)
Giovanni Cioffi, Leonard Bauersfeld, Elia Kaufmann, Davide Scaramuzza
Learned Inertial Odometry for Autonomous Drone Racing. CoRR (2022)
Leonard Bauersfeld, Angel Romero, Manasi Muglikar, Davide Scaramuzza
Cracking Double-Blind Review: Authorship Attribution with Deep Learning. CoRR (2022)
Robert Penicka, Yunlong Song, Elia Kaufmann, Davide Scaramuzza
Learning Minimum-Time Flight in Cluttered Environments. CoRR (2022)
Simon Schaefer, Daniel Gehrig, Davide Scaramuzza
AEGNN: Asynchronous Event-based Graph Neural Networks. CVPR (2022)
Florian Mahlknecht, Daniel Gehrig, Jeremy Nash, Friedrich M. Rockenbauer, Benjamin Morrell, Jeff Delaune, Davide Scaramuzza
Exploring Event Camera-Based Odometry for Planetary Robots. IEEE Robotics Autom. Lett. 7 (4) (2022)
Daniel Gehrig, Davide Scaramuzza
Pushing the Limits of Asynchronous Graph-based Object Detection with Event Cameras. CoRR (2022)
Nico Messikommer, Stamatios Georgoulis, Daniel Gehrig, Stepan Tulyakov, Julius Erbach, Alfredo Bochicchio, Yuanyou Li, Davide Scaramuzza
Multi-Bracket High Dynamic Range Imaging with Event Cameras. CoRR (2022)
Angel Romero, Sihao Sun, Philipp Foehn, Davide Scaramuzza
Model Predictive Contouring Control for Time-Optimal Quadrotor Flight. IEEE Trans. Robotics 38 (6) (2022)
Robert Penicka, Davide Scaramuzza
Minimum-Time Quadrotor Waypoint Flight in Cluttered Environments. IEEE Robotics Autom. Lett. 7 (2) (2022)
Angel Romero, Robert Penicka, Davide Scaramuzza
Time-Optimal Online Replanning for Agile Quadrotor Flight. IEEE Robotics Autom. Lett. 7 (3) (2022)
Maryam Rezayati, Grammatiki Zanni, Ying Zaoshi, Davide Scaramuzza, Hans Wernher van de Venn
Improving safety in physical human-robot collaboration via deep metric learning. ETFA (2022)
Mathias Gehrig, Davide Scaramuzza
Recurrent Vision Transformers for Object Detection with Event Cameras. CoRR (2022)
Lintong Zhang, Michael Helmberger, Lanke Frank Tarimo Fu, David Wisth, Marco Camurri, Davide Scaramuzza, Maurice F. Fallon
Hilti-Oxford Dataset: A Millimetre-Accurate Benchmark for Simultaneous Localization and Mapping. CoRR (2022)
Davide Scaramuzza, Elia Kaufmann
Learning Agile, Vision-Based Drone Flight: From Simulation to Reality. ISRR (2022)
Zhaoning Sun, Nico Messikommer, Daniel Gehrig, Davide Scaramuzza
ESS: Learning Event-Based Semantic Segmentation from Still Images. ECCV (34) (2022)
Julio L. Paneque, José Ramiro Martinez de Dios, Aníbal Ollero, Drew Hanover, Sihao Sun, Angel Romero, Davide Scaramuzza
Perception-Aware Perching on Powerlines With Multirotors. IEEE Robotics Autom. Lett. 7 (2) (2022)
Julio L. Paneque, José Ramiro Martinez de Dios, Aníbal Ollero, Drew Hanover, Sihao Sun, Angel Romero, Davide Scaramuzza
Perception-Aware Perching on Powerlines with Multirotors. CoRR (2022)
Yunlong Song, Davide Scaramuzza
Policy Search for Model Predictive Control With Application to Agile Drone Flight. IEEE Trans. Robotics 38 (4) (2022)
Philipp Foehn, Elia Kaufmann, Angel Romero, Robert Penicka, Sihao Sun, Leonard Bauersfeld, Thomas Laengle, Giovanni Cioffi, Yunlong Song, Antonio Loquercio, Davide Scaramuzza
Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight. Sci. Robotics 7 (67) (2022)
Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza
Dense Continuous-Time Optical Flow from Events and Frames. CoRR (2022)
Giovanni Cioffi, Titus Cieslewski, Davide Scaramuzza
Continuous-Time Vs. Discrete-Time Vision-Based SLAM: A Comparative Study. IEEE Robotics Autom. Lett. 7 (2) (2022)
Nico Messikommer, Carter Fang, Mathias Gehrig, Davide Scaramuzza
Data-driven Feature Tracking for Event Cameras. CoRR (2022)

Davide Scaramuzza.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Davide Scaramuzza