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Davide Scaramuzza 0001
Person information
- affiliation: ETH Zurich / University of Zurich, Department of Neuroinformatics, Switzerland
Other persons with the same name
- Davide Scaramuzza 0002
— Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
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2020 – today
- 2025
- [j103]Roxane Merat, Giovanni Cioffi, Leonard Bauersfeld, Davide Scaramuzza:
Drift-Free Visual SLAM Using Digital Twins. IEEE Robotics Autom. Lett. 10(2): 1633-1640 (2025) - 2024
- [j102]Marziyeh Bamdad
, Davide Scaramuzza
, Alireza Darvishy
:
SLAM for Visually Impaired People: A Survey. IEEE Access 12: 130165-130211 (2024) - [j101]Daniel Gehrig
, Davide Scaramuzza
:
Low-latency automotive vision with event cameras. Nat. 629(8014): 1034-1040 (2024) - [j100]Mathias Gehrig
, Manasi Muglikar
, Davide Scaramuzza
:
Dense Continuous-Time Optical Flow From Event Cameras. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 4736-4746 (2024) - [j99]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): 7286-7293 (2024) - [j98]Letizia Gionfrida
, Daekyum Kim
, Davide Scaramuzza
, Dario Farina
, Robert D. Howe
:
Wearable robots for the real world need vision. Sci. Robotics 9(90) (2024) - [j97]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: 3977-3990 (2024) - [j96]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: 3044-3067 (2024) - [c166]Asude Aydin, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza:
A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception. CVPR Workshops 2024: 5701-5711 - [c165]Nikola Zubic, Mathias Gehrig, Davide Scaramuzza:
State Space Models for Event Cameras. CVPR 2024: 5819-5828 - [c164]Marco Cannici, Davide Scaramuzza:
Mitigating Motion Blur in Neural Radiance Fields with Events and Frames. CVPR 2024: 9286-9296 - [c163]Ling Gao
, Daniel Gehrig, Hang Su, Davide Scaramuzza, Laurent Kneip:
An N-Point Linear Solver for Line and Motion Estimation with Event Cameras. CVPR 2024: 14596-14605 - [c162]Nico Messikommer
, Giovanni Cioffi
, Mathias Gehrig
, Davide Scaramuzza
:
Reinforcement Learning Meets Visual Odometry. ECCV (59) 2024: 76-92 - [c161]Nico Messikommer, Yunlong Song, Davide Scaramuzza:
Contrastive Initial State Buffer for Reinforcement Learning. ICRA 2024: 2866-2872 - [c160]Jiaxu Xing, Leonard Bauersfeld, Yunlong Song, Chunwei Xing, Davide Scaramuzza:
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight. ICRA 2024: 5330-5337 - [c159]Angel Romero, Yunlong Song, Davide Scaramuzza:
Actor-Critic Model Predictive Control. ICRA 2024: 14777-14784 - [c158]Roberto Pellerito, Marco Cannici, Daniel Gehrig, Joris Belhadj, Olivier Dubois-Matra, Massimo Casasco, Davide Scaramuzza:
Deep Visual Odometry with Events and Frames. IROS 2024: 8966-8973 - [c157]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. IROS 2024: 10370-10377 - [c156]Ivan Alberico, Jeff Delaune, Giovanni Cioffi, Davide Scaramuzza:
Structure-Invariant Range-Visual-Inertial Odometry. IROS 2024: 10613-10620 - [c155]Ismail Geles, Leonard Bauersfeld, Angel Romero, Jiaxu Xing, Davide Scaramuzza:
Demonstrating Agile Flight from Pixels without State Estimation. Robotics: Science and Systems 2024 - [c154]Maria Krinner, Angel Romero, Leonard Bauersfeld, Melanie N. Zeilinger, Andrea Carron, Davide Scaramuzza:
MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints. Robotics: Science and Systems 2024 - [c153]Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza:
Revisiting Token Pruning for Object Detection and Instance Segmentation. WACV 2024: 2646-2656 - [i176]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 abs/2401.02343 (2024) - [i175]Nikola Zubic, Mathias Gehrig, Davide Scaramuzza:
State Space Models for Event Cameras. CoRR abs/2402.15584 (2024) - [i174]Jiaxu Xing, Angel Romero, Leonard Bauersfeld, Davide Scaramuzza:
Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight. CoRR abs/2403.12203 (2024) - [i173]Leonard Bauersfeld, Koen Muller, Dominic Ziegler, Filippo Coletti, Davide Scaramuzza:
Robotics meets Fluid Dynamics: A Characterization of the Induced Airflow around a Quadrotor. CoRR abs/2403.13321 (2024) - [i172]Yunlong Song, Sangbae Kim, Davide Scaramuzza:
Learning Quadruped Locomotion Using Differentiable Simulation. CoRR abs/2403.14864 (2024) - [i171]Maria Krinner, Angel Romero, Leonard Bauersfeld, Melanie N. Zeilinger, Andrea Carron, Davide Scaramuzza:
Time-Optimal Flight with Safety Constraints and Data-driven Dynamics. CoRR abs/2403.17551 (2024) - [i170]Marco Cannici, Davide Scaramuzza:
Mitigating Motion Blur in Neural Radiance Fields with Events and Frames. CoRR abs/2403.19780 (2024) - [i169]Ling Gao, Daniel Gehrig, Hang Su, Davide Scaramuzza, Laurent Kneip:
An N-Point Linear Solver for Line and Motion Estimation with Event Cameras. CoRR abs/2404.00842 (2024) - [i168]Ashish Devadas Nair, Julien Kindle, Plamen Levchev, Davide Scaramuzza:
Hilti SLAM Challenge 2023: Benchmarking Single + Multi-session SLAM across Sensor Constellations in Construction. CoRR abs/2404.09765 (2024) - [i167]Manasi Muglikar, Siddharth Somasundaram, Akshat Dave, Edoardo Charbon, Ramesh Raskar, Davide Scaramuzza:
Event Cameras Meet SPADs for High-Speed, Low-Bandwidth Imaging. CoRR abs/2404.11511 (2024) - [i166]Nikola Zubic, Federico Soldà, Aurelio Sulser, Davide Scaramuzza:
Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory. CoRR abs/2405.16674 (2024) - [i165]Ismail Geles, Leonard Bauersfeld, Angel Romero, Jiaxu Xing, Davide Scaramuzza:
Demonstrating Agile Flight from Pixels without State Estimation. CoRR abs/2406.12505 (2024) - [i164]Yunlong Song, Davide Scaramuzza:
Agile Robotics: Optimal Control, Reinforcement Learning, and Differentiable Simulation. CoRR abs/2407.01568 (2024) - [i163]Nico Messikommer, Giovanni Cioffi, Mathias Gehrig, Davide Scaramuzza:
Reinforcement Learning Meets Visual Odometry. CoRR abs/2407.15626 (2024) - [i162]Ivan Alberico, Jeff Delaune, Giovanni Cioffi, Davide Scaramuzza:
Structure-Invariant Range-Visual-Inertial Odometry. CoRR abs/2409.04633 (2024) - [i161]Vincenzo Polizzi, Marco Cannici, Davide Scaramuzza, Jonathan Kelly:
FaVoR: Features via Voxel Rendering for Camera Relocalization. CoRR abs/2409.07571 (2024) - [i160]Jing Yuan Luo, Yunlong Song, Victor Klemm, Fan Shi, Davide Scaramuzza, Marco Hutter:
Residual Policy Learning for Perceptive Quadruped Control Using Differentiable Simulation. CoRR abs/2410.03076 (2024) - [i159]Taylan Soydan, Nikola Zubic, Nico Messikommer, Siddhartha Mishra, Davide Scaramuzza:
S7: Selective and Simplified State Space Layers for Sequence Modeling. CoRR abs/2410.03464 (2024) - [i158]Johannes Heeg, Yunlong Song, Davide Scaramuzza:
Learning Quadrotor Control From Visual Features Using Differentiable Simulation. CoRR abs/2410.15979 (2024) - [i157]Hongze Wang, Jiaxu Xing, Nico Messikommer, Davide Scaramuzza:
Environment as Policy: Learning to Race in Unseen Tracks. CoRR abs/2410.22308 (2024) - [i156]Anish Bhattacharya, Marco Cannici, Nishanth Rao, Yuezhan Tao, Vijay Kumar, Nikolai Matni, Davide Scaramuzza:
Monocular Event-Based Vision for Obstacle Avoidance with a Quadrotor. CoRR abs/2411.03303 (2024) - [i155]Roxane Merat, Giovanni Cioffi, Leonard Bauersfeld, Davide Scaramuzza:
Drift-free Visual SLAM using Digital Twins. CoRR abs/2412.08496 (2024) - [i154]Nico Messikommer, Jiaxu Xing, Elie Aljalbout, Davide Scaramuzza:
Student-Informed Teacher Training. CoRR abs/2412.09149 (2024) - [i153]Mariam Hassan, Sebastian Stapf, Ahmad Rahimi, Pedro M. B. Rezende, Yasaman Haghighi, David Brüggemann, Isinsu Katircioglu, Lin Zhang, Xiaoran Chen, Suman Saha, Marco Cannici, Elie Aljalbout, Botao Ye, Xi Wang, Aram Davtyan, Mathieu Salzmann, Davide Scaramuzza, Marc Pollefeys, Paolo Favaro, Alexandre Alahi:
GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control. CoRR abs/2412.11198 (2024) - [i152]Nikola Zubic, Davide Scaramuzza:
GG-SSMs: Graph-Generating State Space Models. CoRR abs/2412.12423 (2024) - [i151]Jiaxu Xing, Ismail Geles, Yunlong Song, Elie Aljalbout, Davide Scaramuzza:
Multi-Task Reinforcement Learning for Quadrotors. CoRR abs/2412.12442 (2024) - 2023
- [j95]Elia Kaufmann
, Leonard Bauersfeld, Antonio Loquercio
, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
:
Champion-level drone racing using deep reinforcement learning. Nat. 620(7976): 982-987 (2023) - [j94]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): 408-415 (2023) - [j93]Simon Klenk
, Lukas Koestler, Davide Scaramuzza
, Daniel Cremers
:
E-NeRF: Neural Radiance Fields From a Moving Event Camera. IEEE Robotics Autom. Lett. 8(3): 1587-1594 (2023) - [j92]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): 2397-2404 (2023) - [j91]Giovanni Cioffi
, Leonard Bauersfeld
, Elia Kaufmann
, Davide Scaramuzza
:
Learned Inertial Odometry for Autonomous Drone Racing. IEEE Robotics Autom. Lett. 8(5): 2684-2691 (2023) - [j90]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) - [c152]Manasi Muglikar, Leonard Bauersfeld, Diederik Paul Moeys, Davide Scaramuzza
:
Event-Based Shape from Polarization. CVPR 2023: 1547-1556 - [c151]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: 4129-4138 - [c150]Nico Messikommer
, Carter Fang, Mathias Gehrig, Davide Scaramuzza:
Data-Driven Feature Tracking for Event Cameras. CVPR 2023: 5642-5651 - [c149]Mathias Gehrig, Davide Scaramuzza:
Recurrent Vision Transformers for Object Detection with Event Cameras. CVPR 2023: 13884-13893 - [c148]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: 8015-8025 - [c147]Nikola Zubic, Daniel Gehrig
, Mathias Gehrig, Davide Scaramuzza:
From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection. ICCV 2023: 12800-12810 - [c146]Angel Romero, Shreedhar Govil, Gonca Yilmaz, Yunlong Song, Davide Scaramuzza:
Weighted Maximum Likelihood for Controller Tuning. ICRA 2023: 1334-1341 - [c145]Leonard Bauersfeld, Elia Kaufmann, Davide Scaramuzza:
User-Conditioned Neural Control Policies for Mobile Robotics. ICRA 2023: 1342-1348 - [c144]Nina Wiedemann, Valentin Wüest
, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza
:
Training Efficient Controllers via Analytic Policy Gradient. ICRA 2023: 1349-1356 - [c143]Yunlong Song, Kexin Shi, Robert Penicka, Davide Scaramuzza:
Learning Perception-Aware Agile Flight in Cluttered Environments. ICRA 2023: 1989-1995 - [c142]Benedek Forrai, Takahiro Miki, Daniel Gehrig
, Marco Hutter, Davide Scaramuzza:
Event-based Agile Object Catching with a Quadrupedal Robot. ICRA 2023: 12177-12183 - [c141]Jiaxu Xing, Giovanni Cioffi, Javier Hidalgo-Carrió, Davide Scaramuzza
:
Autonomous Power Line Inspection with Drones via Perception-Aware MPC. IROS 2023: 1086-1093 - [c140]Jiawei Fu, Yunlong Song, Yan Wu, Fisher Yu, Davide Scaramuzza:
Learning Deep Sensorimotor Policies for Vision-Based Autonomous Drone Racing. IROS 2023: 5243-5250 - [c139]Giovanni Cioffi, Leonard Bauersfeld, Davide Scaramuzza:
HDVIO: Improving Localization and Disturbance Estimation with Hybrid Dynamics VIO. Robotics: Science and Systems 2023 - [i150]Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, Angel Romero, Robert Penicka, Yunlong Song, Giovanni Cioffi, Elia Kaufmann, Davide Scaramuzza
:
Autonomous Drone Racing: A Survey. CoRR abs/2301.01755 (2023) - [i149]Manasi Muglikar, Leonard Bauersfeld, Diederik Paul Moeys, Davide Scaramuzza
:
Event-based Shape from Polarization. CoRR abs/2301.06855 (2023) - [i148]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 abs/2302.11933 (2023) - [i147]Charith Munasinghe
, Fatemeh Mohammadi Amin, Davide Scaramuzza
, Hans Wernher van de Venn:
COVERED, CollabOratiVE Robot Environment Dataset for 3D Semantic segmentation. CoRR abs/2302.12656 (2023) - [i146]Asude Aydin, Mathias Gehrig, Daniel Gehrig
, Davide Scaramuzza
:
A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception. CoRR abs/2303.14176 (2023) - [i145]Benedek Forrai, Takahiro Miki, Daniel Gehrig
, Marco Hutter, Davide Scaramuzza
:
Event-based Agile Object Catching with a Quadrupedal Robot. CoRR abs/2303.17479 (2023) - [i144]Jiaxu Xing, Giovanni Cioffi, Javier Hidalgo-Carrió, Davide Scaramuzza
:
Autonomous Power Line Inspection with Drones via Perception-Aware MPC. CoRR abs/2304.00959 (2023) - [i143]Davide Scaramuzza
, Elia Kaufmann:
Learning Agile, Vision-based Drone Flight: from Simulation to Reality. CoRR abs/2304.04128 (2023) - [i142]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 abs/2304.07139 (2023) - [i141]Leyla Loued-Khenissi, Christian Pfeiffer, Rupal Saxena, Shivam Adarsh, Davide Scaramuzza:
Microgravity Induces Overconfidence in Perceptual Decision-making. CoRR abs/2304.12133 (2023) - [i140]Nikola Zubic, Daniel Gehrig
, Mathias Gehrig, Davide Scaramuzza
:
From Chaos Comes Order: Ordering Event Representations for Object Detection. CoRR abs/2304.13455 (2023) - [i139]Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza
:
Revisiting Token Pruning for Object Detection and Instance Segmentation. CoRR abs/2306.07050 (2023) - [i138]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 abs/2306.09078 (2023) - [i137]Angel Romero, Yunlong Song, Davide Scaramuzza
:
Actor-Critic Model Predictive Control. CoRR abs/2306.09852 (2023) - [i136]Giovanni Cioffi, Leonard Bauersfeld, Davide Scaramuzza:
HDVIO: Improving Localization and Disturbance Estimation with Hybrid Dynamics VIO. CoRR abs/2306.11429 (2023) - [i135]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 abs/2307.06100 (2023) - [i134]Rong Zou, Manasi Muglikar, Nico Messikommer, Davide Scaramuzza
:
Seeing Behind Dynamic Occlusions with Event Cameras. CoRR abs/2307.15829 (2023) - [i133]Nico Messikommer, Yunlong Song, Davide Scaramuzza
:
Contrastive Initial State Buffer for Reinforcement Learning. CoRR abs/2309.09752 (2023) - [i132]Jiaxu Xing, Leonard Bauersfeld, Yunlong Song, Chunwei Xing, Davide Scaramuzza
:
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight. CoRR abs/2309.09865 (2023) - [i131]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 abs/2309.09947 (2023) - [i130]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 abs/2309.12784 (2023) - [i129]Ling Gao, Hang Su
, Daniel Gehrig
, Marco Cannici, Davide Scaramuzza
, Laurent Kneip:
A 5-Point Minimal Solver for Event Camera Relative Motion Estimation. CoRR abs/2309.17054 (2023) - [i128]Yunlong Song, Angel Romero, Matthias Mueller, Vladlen Koltun, Davide Scaramuzza
:
Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning. CoRR abs/2310.10943 (2023) - [i127]Yunlong Song, Davide Scaramuzza
:
Flymation: Interactive Animation for Flying Robots. CoRR abs/2310.11659 (2023) - 2022
- [j89]Philipp Foehn
, Dario Brescianini
, Elia Kaufmann
, Titus Cieslewski
, Mathias Gehrig
, Manasi Muglikar
, Davide Scaramuzza
:
AlphaPilot: autonomous drone racing. Auton. Robots 46(1): 307-320 (2022) - [j88]Guillermo Gallego
, Tobi Delbrück
, Garrick Orchard
, Chiara Bartolozzi
, Brian Taba, Andrea Censi, Stefan Leutenegger
, Andrew J. Davison, Jörg Conradt, Kostas Daniilidis
, Davide Scaramuzza
:
Event-Based Vision: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 154-180 (2022) - [j87]Drew Hanover
, Philipp Foehn
, Sihao Sun
, Elia Kaufmann
, Davide Scaramuzza
:
Performance, Precision, and Payloads: Adaptive Nonlinear MPC for Quadrotors. IEEE Robotics Autom. Lett. 7(2): 690-697 (2022) - [j86]Giovanni Cioffi
, Titus Cieslewski
, Davide Scaramuzza
:
Continuous-Time Vs. Discrete-Time Vision-Based SLAM: A Comparative Study. IEEE Robotics Autom. Lett. 7(2): 2399-2406 (2022) - [j85]Leonard Bauersfeld
, Davide Scaramuzza
:
Range, Endurance, and Optimal Speed Estimates for Multicopters. IEEE Robotics Autom. Lett. 7(2): 2953-2960 (2022) - [j84]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): 3077-3084 (2022) - [j83]Nico Messikommer
, Daniel Gehrig
, Mathias Gehrig
, Davide Scaramuzza
:
Bridging the Gap Between Events and Frames Through Unsupervised Domain Adaptation. IEEE Robotics Autom. Lett. 7(2): 3515-3522 (2022) - [j82]Antonio Loquercio
, Alessandro Saviolo, Davide Scaramuzza
:
AutoTune: Controller Tuning for High-Speed Flight. IEEE Robotics Autom. Lett. 7(2): 4432-4439 (2022) - [j81]Fang Nan
, Sihao Sun
, Philipp Foehn
, Davide Scaramuzza
:
Nonlinear MPC for Quadrotor Fault-Tolerant Control. IEEE Robotics Autom. Lett. 7(2): 5047-5054 (2022) - [j80]Robert Penicka
, Davide Scaramuzza
:
Minimum-Time Quadrotor Waypoint Flight in Cluttered Environments. IEEE Robotics Autom. Lett. 7(2): 5719-5726 (2022) - [j79]Robert Penicka
, Yunlong Song
, Elia Kaufmann
, Davide Scaramuzza
:
Learning Minimum-Time Flight in Cluttered Environments. IEEE Robotics Autom. Lett. 7(3): 7209-7216 (2022) - [j78]Michael Helmberger
, Kristian Morin, Beda Berner
, Nitish Kumar
, Giovanni Cioffi
, Davide Scaramuzza
:
The Hilti SLAM Challenge Dataset. IEEE Robotics Autom. Lett. 7(3): 7518-7525 (2022) - [j77]Angel Romero
, Robert Penicka
, Davide Scaramuzza
:
Time-Optimal Online Replanning for Agile Quadrotor Flight. IEEE Robotics Autom. Lett. 7(3): 7730-7737 (2022) - [j76]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): 8651-8658 (2022) - [j75]Vincenzo Polizzi
, Robert A. Hewitt
, Javier Hidalgo-Carrió
, Jeff Delaune
, Davide Scaramuzza
:
Data-Efficient Collaborative Decentralized Thermal-Inertial Odometry. IEEE Robotics Autom. Lett. 7(4): 10681-10688 (2022) - [j74]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) - [j73]Yunlong Song
, Davide Scaramuzza
:
Policy Search for Model Predictive Control With Application to Agile Drone Flight. IEEE Trans. Robotics 38(4): 2114-2130 (2022) - [j72]Angel Romero
, Sihao Sun
, Philipp Foehn
, Davide Scaramuzza
:
Model Predictive Contouring Control for Time-Optimal Quadrotor Flight. IEEE Trans. Robotics 38(6): 3340-3356 (2022) - [j71]