Davide Scaramuzza
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
151
Venues
15
Active years
2005–2026
Best venue rank
A*
Where they publish
Papers
151 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Unlocking Efficient Vehicle Dynamics Modeling via Analytic World Models. | Asen Nachkov, Danda Pani Paudel, Jan-Nico Zaech, Davide Scaramuzza, Luc Van Gool |
| 2025 | CVPR | Egocentric Event-Based Vision for Ping Pong Ball Trajectory Prediction. | Ivan Alberico, Marco Cannici, Giovanni Cioffi, Davide Scaramuzza |
| 2025 | CVPR | Reading in the Dark with Foveated Event Vision. | Carl Brander, Giovanni Cioffi, Nico Messikommer, Davide Scaramuzza |
| 2025 | CVPR | GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control. | Mariam Hassan, Sebastian Stapf, Ahmad Rahimi, Pedro M. B. Rezende, Yasaman Haghighi, David Brggemann, 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 |
| 2025 | CVPR | Perturbed State Space Feature Encoders for Optical Flow with Event Cameras. | Gokul Raju Govinda Raju, Nikola Zubic, Marco Cannici, Davide Scaramuzza |
| 2025 | CVPR | ForesightNav: Learning Scene Imagination for Efficient Exploration. | Hardik Shah, Jiaxu Xing, Nico Messikommer, Boyang Sun, Marc Pollefeys, Davide Scaramuzza |
| 2025 | CVPR | GG-SSMs: Graph-Generating State Space Models. | Nikola Zubic, Davide Scaramuzza |
| 2025 | ICLR | Student-Informed Teacher Training. | Nico Messikommer, Jiaxu Xing, Elie Aljalbout, Davide Scaramuzza |
| 2025 | ICLR | Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory. | Nikola Zubic, Federico Sold, Aurelio L. Sulser, Davide Scaramuzza |
| 2025 | ICRA | Learning Quadrotor Control from Visual Features Using Differentiable Simulation. | Johannes Heeg, Yunlong Song, Davide Scaramuzza |
| 2025 | ICRA | Residual Policy Learning for Perceptive Quadruped Control Using Differentiable Simulation. | Jing Yuan Luo, Yunlong Song, Victor Klemm, Fan Shi, Davide Scaramuzza, Marco Hutter |
| 2025 | ICRA | Environment as Policy: Learning to Race in Unseen Tracks. | Hongze Wang, Jiaxu Xing, Nico Messikommer, Davide Scaramuzza |
| 2025 | WACV | FaVoR: Features via Voxel Rendering for Camera Relocalization. | Vincenzo Polizzi, Marco Cannici, Davide Scaramuzza, Jonathan Kelly |
| 2024 | CoRL | Monocular Event-Based Vision for Obstacle Avoidance with a Quadrotor. | Anish Bhattacharya, Marco Cannici, Nishanth Rao, Yuezhan Tao, Vijay Kumar, Nikolai Matni, Davide Scaramuzza |
| 2024 | CoRL | Learning Quadruped Locomotion Using Differentiable Simulation. | Yunlong Song, Sangbae Kim, Davide Scaramuzza |
| 2024 | CoRL | Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight. | Jiaxu Xing, Angel Romero, Leonard Bauersfeld, Davide Scaramuzza |
| 2024 | CVPR | A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception. | Asude Aydin, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza |
| 2024 | CVPR | Mitigating Motion Blur in Neural Radiance Fields with Events and Frames. | Marco Cannici, Davide Scaramuzza |
| 2024 | CVPR | An N-Point Linear Solver for Line and Motion Estimation with Event Cameras. | Ling Gao, Daniel Gehrig, Hang Su, Davide Scaramuzza, Laurent Kneip |
| 2024 | CVPR | State Space Models for Event Cameras. | Nikola Zubic, Mathias Gehrig, Davide Scaramuzza |
| 2024 | ECCV | Reinforcement Learning Meets Visual Odometry. | Nico Messikommer, Giovanni Cioffi, Mathias Gehrig, Davide Scaramuzza |
| 2024 | ICRA | Contrastive Initial State Buffer for Reinforcement Learning. | Nico Messikommer, Yunlong Song, Davide Scaramuzza |
| 2024 | ICRA | Actor-Critic Model Predictive Control. | Angel Romero, Yunlong Song, Davide Scaramuzza |
| 2024 | IROS | Structure-Invariant Range-Visual-Inertial Odometry. | Ivan Alberico, Jeff Delaune, Giovanni Cioffi, Davide Scaramuzza |
| 2024 | IROS | Learning to Walk and Fly with Adversarial Motion Priors. | Giuseppe L'Erario, Drew Hanover, Angel Romero, Yunlong Song, Gabriele Nava, Paolo Maria Viceconte, Daniele Pucci, Davide Scaramuzza |
| 2024 | IROS | Deep Visual Odometry with Events and Frames. | Roberto Pellerito, Marco Cannici, Daniel Gehrig, Joris Belhadj, Olivier Dubois-Matra, Massimo Casasco, Davide Scaramuzza |
| 2024 | ICRA | Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight. | Jiaxu Xing, Leonard Bauersfeld, Yunlong Song, Chunwei Xing, Davide Scaramuzza |
| 2024 | WACV | Revisiting Token Pruning for Object Detection and Instance Segmentation. | Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza |
| 2023 | CVPR | Recurrent Vision Transformers for Object Detection with Event Cameras. | Mathias Gehrig, Davide Scaramuzza |
| 2023 | CVPR | Data-Driven Feature Tracking for Event Cameras. | Nico Messikommer, Carter Fang, Mathias Gehrig, Davide Scaramuzza |
| 2023 | CVPR | Event-Based Shape from Polarization. | Manasi Muglikar, Leonard Bauersfeld, Diederik Paul Moeys, Davide Scaramuzza |
| 2023 | CVPR | Neuromorphic Optical Flow and Real-time Implementation with Event Cameras. | Yannick Schnider, Stanislaw Wozniak, Mathias Gehrig, Jules Lecomte, Axel von Arnim, Luca Benini, Davide Scaramuzza, Angeliki Pantazi |
| 2023 | ICCV | A 5-Point Minimal Solver for Event Camera Relative Motion Estimation. | Ling Gao, Hang Su, Daniel Gehrig, Marco Cannici, Davide Scaramuzza, Laurent Kneip |
| 2023 | ICCV | From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection. | Nikola Zubic, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza |
| 2023 | ICRA | User-Conditioned Neural Control Policies for Mobile Robotics. | Leonard Bauersfeld, Elia Kaufmann, Davide Scaramuzza |
| 2023 | ICRA | Event-based Agile Object Catching with a Quadrupedal Robot. | Benedek Forrai, Takahiro Miki, Daniel Gehrig, Marco Hutter, Davide Scaramuzza |
| 2023 | ICRA | Weighted Maximum Likelihood for Controller Tuning. | Angel Romero, Shreedhar Govil, Gonca Yilmaz, Yunlong Song, Davide Scaramuzza |
| 2023 | IROS | Learning Deep Sensorimotor Policies for Vision-Based Autonomous Drone Racing. | Jiawei Fu, Yunlong Song, Yan Wu, Fisher Yu, Davide Scaramuzza |
| 2023 | IROS | Autonomous Power Line Inspection with Drones via Perception-Aware MPC. | Jiaxu Xing, Giovanni Cioffi, Javier Hidalgo-Carri, Davide Scaramuzza |
| 2023 | ICRA | Learning Perception-Aware Agile Flight in Cluttered Environments. | Yunlong Song, Kexin Shi, Robert Penicka, Davide Scaramuzza |
| 2023 | ICRA | Training Efficient Controllers via Analytic Policy Gradient. | Nina Wiedemann, Valentin West, Antonio Loquercio, Matthias Mller, Dario Floreano, Davide Scaramuzza |
| 2022 | CVPR | Event-aided Direct Sparse Odometry. | Javier Hidalgo-Carri, Guillermo Gallego, Davide Scaramuzza |
| 2022 | CVPR | Multi-Bracket High Dynamic Range Imaging with Event Cameras. | Nico Messikommer, Stamatios Georgoulis, Daniel Gehrig, Stepan Tulyakov, Julius Erbach, Alfredo Bochicchio, Yuanyou Li, Davide Scaramuzza |
| 2022 | CVPR | AEGNN: Asynchronous Event-based Graph Neural Networks. | Simon Schaefer, Daniel Gehrig, Davide Scaramuzza |
| 2022 | CVPR | Time Lens++: Event-based Frame Interpolation with Parametric Nonlinear Flow and Multi-scale Fusion. | Stepan Tulyakov, Alfredo Bochicchio, Daniel Gehrig, Stamatios Georgoulis, Yuanyou Li, Davide Scaramuzza |
| 2022 | ECCV | ESS: Learning Event-Based Semantic Segmentation from Still Images. | Zhaoning Sun, Nico Messikommer, Daniel Gehrig, Davide Scaramuzza |
| 2022 | ETFA | COVERED, CollabOratiVE Robot Environment Dataset for 3D Semantic segmentation. | Charith Munasinghe, Fatemeh Mohammadi Amin, Davide Scaramuzza, Hans Wernher van de Venn |
| 2022 | ETFA | Improving safety in physical human-robot collaboration via deep metric learning. | Maryam Rezayati, Grammatiki Zanni, Ying Zaoshi, Davide Scaramuzza, Hans Wernher van de Venn |
| 2022 | ICRA | A Benchmark Comparison of Learned Control Policies for Agile Quadrotor Flight. | Elia Kaufmann, Leonard Bauersfeld, Davide Scaramuzza |
| 2022 | ISRR | Learning Agile, Vision-Based Drone Flight: From Simulation to Reality. | Davide Scaramuzza, Elia Kaufmann |
| 2021 | CVPR | How To Calibrate Your Event Camera. | Manasi Muglikar, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza |
| 2021 | CVPR | Time Lens: Event-Based Video Frame Interpolation. | Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, Davide Scaramuzza |
| 2021 | IJCAI | Deep Drone Acrobatics (Extended Abstract). | Elia Kaufmann, Antonio Loquercio, Ren Ranftl, Matthias Mller, Vladlen Koltun, Davide Scaramuzza |
| 2021 | ICRA | Geometry-aware Compensation Scheme for Morphing Drones. | Amedeo Fabris, Kevin Kleber, Davide Falanga, Davide Scaramuzza |
| 2021 | IROS | Powerline Tracking with Event Cameras. | Alexander Dietsche, Giovanni Cioffi, Javier Hidalgo-Carri, Davide Scaramuzza |
| 2021 | IROS | Autonomous Drone Racing with Deep Reinforcement Learning. | Yunlong Song, Mats Steinweg, Elia Kaufmann, Davide Scaramuzza |
| 2021 | ICRA | Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning. | Yunlong Song, HaoChih Lin, Elia Kaufmann, Peter Drr, Davide Scaramuzza |
| 2021 | ICRA | Event-driven Vision and Control for UAVs on a Neuromorphic Chip. | Antonio Vitale, Alpha Renner, Celine Nauer, Davide Scaramuzza, Yulia Sandamirskaya |
| 2020 | CoRL | Flightmare: A Flexible Quadrotor Simulator. | Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza |
| 2020 | CVPR | Video to Events: Recycling Video Datasets for Event Cameras. | Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carri, Davide Scaramuzza |
| 2020 | ECCV | Real-Time Embedded Computer Vision on UAVs: - UAVision2020 Workshop Summary. | Kristof Van Beeck, Tanguy Ophoff, Maarten Vandersteegen, Tinne Tuytelaars, Davide Scaramuzza, Toon Goedem |
| 2020 | ECCV | Event-Based Asynchronous Sparse Convolutional Networks. | Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza |
| 2020 | ECCV | Reducing the Sim-to-Real Gap for Event Cameras. | Timo Stoffregen, Cedric Scheerlinck, Davide Scaramuzza, Tom Drummond, Nick Barnes, Lindsay Kleeman, Robert E. Mahony |
| 2020 | ICPR | Unsupervised Feature Learning for Event Data: Direct vs Inverse Problem Formulation. | Dimche Kostadinov, Davide Scaramuzza |
| 2020 | ICRA | Towards Low-Latency High-Bandwidth Control of Quadrotors using Event Cameras. | Rika Sugimoto Dimitrova, Mathias Gehrig, Dario Brescianini, Davide Scaramuzza |
| 2020 | ICRA | Event-Based Angular Velocity Regression with Spiking Networks. | Mathias Gehrig, Sumit Bam Shrestha, Daniel Mouritzen, Davide Scaramuzza |
| 2020 | ICRA | Redesigning SLAM for Arbitrary Multi-Camera Systems. | Juichung Kuo, Manasi Muglikar, Zichao Zhang, Davide Scaramuzza |
| 2020 | ICRA | Voxel Map for Visual SLAM. | Manasi Muglikar, Zichao Zhang, Davide Scaramuzza |
| 2020 | IROS | Tightly-coupled Fusion of Global Positional Measurements in Optimization-based Visual-Inertial Odometry. | Giovanni Cioffi, Davide Scaramuzza |
| 2020 | IROS | Online Weight-adaptive Nonlinear Model Predictive Control. | Dimche Kostadinov, Davide Scaramuzza |
| 2020 | IROS | Faster than FAST: GPU-Accelerated Frontend for High-Speed VIO. | Balzs Nagy, Philipp Foehn, Davide Scaramuzza |
| 2020 | IROS | Learning High-Level Policies for Model Predictive Control. | Yunlong Song, Davide Scaramuzza |
| 2020 | ICRA | EVDodgeNet: Deep Dynamic Obstacle Dodging with Event Cameras. | Nitin J. Sanket, Chethan M. Parameshwara, Chahat Deep Singh, Ashwin V. Kuruttukulam, Cornelia Fermller, Davide Scaramuzza, Yiannis Aloimonos |
| 2020 | WACV | Fast Image Reconstruction with an Event Camera. | Cedric Scheerlinck, Henri Rebecq, Daniel Gehrig, Nick Barnes, Robert E. Mahony, Davide Scaramuzza |
| 2019 | BMVC | Matching Features without Descriptors: Implicitly Matched Interest Points. | Titus Cieslewski, Michael Bloesch, Davide Scaramuzza |
| 2019 | CVPR | Unsupervised Moving Object Detection via Contextual Information Separation. | Yanchao Yang, Antonio Loquercio, Davide Scaramuzza, Stefano Soatto |
| 2019 | CVPR | Focus Is All You Need: Loss Functions for Event-Based Vision. | Guillermo Gallego, Mathias Gehrig, Davide Scaramuzza |
| 2019 | CVPR | Events-To-Video: Bringing Modern Computer Vision to Event Cameras. | Henri Rebecq, Ren Ranftl, Vladlen Koltun, Davide Scaramuzza |
| 2019 | CVPR | CED: Color Event Camera Dataset. | Cedric Scheerlinck, Henri Rebecq, Timo Stoffregen, Nick Barnes, Robert E. Mahony, Davide Scaramuzza |
| 2019 | ICCV | End-to-End Learning of Representations for Asynchronous Event-Based Data. | Daniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis, Davide Scaramuzza |
| 2019 | ICCV | Event-Based Motion Segmentation by Motion Compensation. | Timo Stoffregen, Guillermo Gallego, Tom Drummond, Lindsay Kleeman, Davide Scaramuzza |
| 2019 | ICRA | Event-based, Direct Camera Tracking from a Photometric 3D Map using Nonlinear Optimization. | Samuel Bryner, Guillermo Gallego, Henri Rebecq, Davide Scaramuzza |
| 2019 | ICRA | Are We Ready for Autonomous Drone Racing? The UZH-FPV Drone Racing Dataset. | Jeffrey A. Delmerico, Titus Cieslewski, Henri Rebecq, Matthias Faessler, Davide Scaramuzza |
| 2019 | ICRA | Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. | Elia Kaufmann, Mathias Gehrig, Philipp Foehn, Ren Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza |
| 2019 | ICRA | Beyond Point Clouds: Fisher Information Field for Active Visual Localization. | Zichao Zhang, Davide Scaramuzza |
| 2019 | ISRR | Exploration Without Global Consistency Using Local Volume Consolidation. | Titus Cieslewski, Andreas Ziegler, Davide Scaramuzza |
| 2018 | CoRL | Deep Drone Racing: Learning Agile Flight in Dynamic Environments. | Elia Kaufmann, Antonio Loquercio, Ren Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza |
| 2018 | CoRL | ESIM: an Open Event Camera Simulator. | Henri Rebecq, Daniel Gehrig, Davide Scaramuzza |
| 2018 | CVPR | A Unifying Contrast Maximization Framework for Event Cameras, With Applications to Motion, Depth, and Optical Flow Estimation. | Guillermo Gallego, Henri Rebecq, Davide Scaramuzza |
| 2018 | CVPR | Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars. | Ana I. Maqueda, Antonio Loquercio, Guillermo Gallego, Narciso Garca, Davide Scaramuzza |
| 2018 | ECCV | Asynchronous, Photometric Feature Tracking Using Events and Frames. | Daniel Gehrig, Henri Rebecq, Guillermo Gallego, Davide Scaramuzza |
| 2018 | ECCV | Semi-dense 3D Reconstruction with a Stereo Event Camera. | Yi Zhou, Guillermo Gallego, Henri Rebecq, Laurent Kneip, Hongdong Li, Davide Scaramuzza |
| 2018 | ICRA | Data-Efficient Decentralized Visual SLAM. | Titus Cieslewski, Siddharth Choudhary, Davide Scaramuzza |
| 2018 | ICRA | A Benchmark Comparison of Monocular Visual-Inertial Odometry Algorithms for Flying Robots. | Jeffrey A. Delmerico, Davide Scaramuzza |
| 2018 | ICRA | Onboard State Dependent LQR for Agile Quadrotors. | Philipp Foehn, Davide Scaramuzza |
| 2018 | ICRA | Learning-Based Image Enhancement for Visual Odometry in Challenging HDR Environments. | Ruben Gomez-Ojeda, Zichao Zhang, Javier Gonzlez Jimnez, Davide Scaramuzza |
| 2018 | IROS | PAMPC: Perception-Aware Model Predictive Control for Quadrotors. | Davide Falanga, Philipp Foehn, Peng Lu, Davide Scaramuzza |
| 2018 | IROS | A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry. | Zichao Zhang, Davide Scaramuzza |
| 2018 | ICRA | Perception-aware Receding Horizon Navigation for MAVs. | Zichao Zhang, Davide Scaramuzza |
| 2017 | BMVC | Fast Event-based Corner Detection. | Elias Mueggler, Chiara Bartolozzi, Davide Scaramuzza |
| 2017 | BMVC | Real-time Visual-Inertial Odometry for Event Cameras using Keyframe-based Nonlinear Optimization. | Henri Rebecq, Timo Horstschaefer, Davide Scaramuzza |
| 2017 | BMVC | Place Recognition in Semi-Dense Maps. | Yawei Ye, Titus Cieslewski, Antonio Loquercio, Davide Scaramuzza |
| 2017 | ICRA | Aggressive quadrotor flight through narrow gaps with onboard sensing and computing using active vision. | Davide Falanga, Elias Mueggler, Matthias Faessler, Davide Scaramuzza |
| 2017 | ICRA | Dynamic collaboration without communication: Vision-based cable-suspended load transport with two quadrotors. | Michael Gassner, Titus Cieslewski, Davide Scaramuzza |
| 2017 | IROS | Rapid exploration with multi-rotors: A frontier selection method for high speed flight. | Titus Cieslewski, Elia Kaufmann, Davide Scaramuzza |
| 2017 | ICRA | Active exposure control for robust visual odometry in HDR environments. | Zichao Zhang, Christian Forster, Davide Scaramuzza |
| 2016 | BMVC | EMVS: Event-based Multi-View Stereo. | Henri Rebecq, Guillermo Gallego, Davide Scaramuzza |
| 2016 | ICRA | An information gain formulation for active volumetric 3D reconstruction. | Stefan Isler, Reza Sabzevari, Jeffrey A. Delmerico, Davide Scaramuzza |
| 2016 | IROS | Low-latency visual odometry using event-based feature tracks. | Beat Kueng, Elias Mueggler, Guillermo Gallego, Davide Scaramuzza |
| 2016 | ICRA | Benefit of large field-of-view cameras for visual odometry. | Zichao Zhang, Henri Rebecq, Christian Forster, Davide Scaramuzza |
| 2015 | ICRA | Automatic re-initialization and failure recovery for aggressive flight with a monocular vision-based quadrotor. | Matthias Faessler, Flavio Fontana, Christian Forster, Davide Scaramuzza |
| 2015 | ICRA | Continuous on-board monocular-vision-based elevation mapping applied to autonomous landing of micro aerial vehicles. | Christian Forster, Matthias Faessler, Flavio Fontana, Manuel Werlberger, Davide Scaramuzza |
| 2015 | ICRA | Lifetime estimation of events from Dynamic Vision Sensors. | Elias Mueggler, Christian Forster, Nathan Baumli, Guillermo Gallego, Davide Scaramuzza |
| 2015 | ISRR | Exploiting Photometric Information for Planning Under Uncertainty. | Gabriele Costante, Jeffrey A. Delmerico, Manuel Werlberger, Paolo Valigi, Davide Scaramuzza |
| 2014 | ICRA | Low-latency event-based visual odometry. | Andrea Censi, Davide Scaramuzza |
| 2014 | ICRA | A monocular pose estimation system based on infrared LEDs. | Matthias Faessler, Elias Mueggler, Karl Schwabe, Davide Scaramuzza |
| 2014 | ICRA | SVO: Fast semi-direct monocular visual odometry. | Christian Forster, Matia Pizzoli, Davide Scaramuzza |
| 2014 | ICRA | ICP stereo visual odometry for wheeled vehicles based on a 1DOF motion prior. | Yanhua Jiang, Huiyan Chen, Guangming Xiong, Davide Scaramuzza |
| 2014 | ICRA | Micro air vehicle localization and position tracking from textured 3D cadastral models. | Andras Majdik, Damiano Verda, Yves Albers-Schoenberg, Davide Scaramuzza |
| 2014 | ICRA | REMODE: Probabilistic, monocular dense reconstruction in real time. | Matia Pizzoli, Christian Forster, Davide Scaramuzza |
| 2014 | IROS | Event-based, 6-DOF pose tracking for high-speed maneuvers. | Elias Mueggler, Basil Huber, Davide Scaramuzza |
| 2014 | ICRA | Monocular simultaneous multi-body motion segmentation and reconstruction from perspective views. | Reza Sabzevari, Davide Scaramuzza |
| 2014 | ICRA | 2-Point-based outlier rejection for camera-IMU systems with applications to micro aerial vehicles. | Chiara Troiani, Agostino Martinelli, Christian Laugier, Davide Scaramuzza |
| 2013 | ICRA | RFID-based hybrid metric-topological SLAM for GPS-denied environments. | Christian Forster, Deon George Sabatta, Roland Siegwart, Davide Scaramuzza |
| 2013 | IROS | Low-latency localization by active LED markers tracking using a dynamic vision sensor. | Andrea Censi, Jonas Strubel, Christian Brandli, Tobi Delbruck, Davide Scaramuzza |
| 2013 | IROS | Collaborative monocular SLAM with multiple Micro Aerial Vehicles. | Christian Forster, Simon Lynen, Laurent Kneip, Davide Scaramuzza |
| 2013 | IROS | Air-ground localization and map augmentation using monocular dense reconstruction. | Christian Forster, Matia Pizzoli, Davide Scaramuzza |
| 2013 | IROS | MAV urban localization from Google street view data. | Andras Majdik, Yves Albers-Schoenberg, Davide Scaramuzza |
| 2012 | ICRA | Robot localization using soft object detection. | Roy Anati, Davide Scaramuzza, Konstantinos G. Derpanis, Kostas Daniilidis |
| 2012 | IROS | SFly: Swarm of micro flying robots. | Markus Achtelik, Michael Achtelik, Yorick Brunet, Margarita Chli, Savvas A. Chatzichristofis, Jean-Dominique Decotignie, Klaus-Michael Doth, Friedrich Fraundorfer, Laurent Kneip, Daniel Gurdan, Lionel Heng, Elias B. Kosmatopoulos, Lefteris Doitsidis, Gim Hee Lee, Simon Lynen, Agostino Martinelli, Lorenz Meier, Marc Pollefeys, Damien Piguet, Alessandro Renzaglia, Davide Scaramuzza, Roland Siegwart, Jan Stumpf, Petri Tanskanen, Chiara Troiani, Stephan Weiss |
| 2011 | CVPR | A novel parametrization of the perspective-three-point problem for a direct computation of absolute camera position and orientation. | Laurent Kneip, Davide Scaramuzza, Roland Siegwart |
| 2011 | ICRA | Closed-form solution for absolute scale velocity determination combining inertial measurements and a single feature correspondence. | Laurent Kneip, Agostino Martinelli, Stephan Weiss, Davide Scaramuzza, Roland Siegwart |
| 2011 | IROS | 3D surveillance coverage using maps extracted by a monocular SLAM algorithm. | Lefteris Doitsidis, Alessandro Renzaglia, Stephan Weiss, Elias B. Kosmatopoulos, Davide Scaramuzza, Roland Siegwart |
| 2011 | IROS | Exploiting motion priors in visual odometry for vehicle-mounted cameras with non-holonomic constraints. | Davide Scaramuzza, Andrea Censi, Kostas Daniilidis |
| 2010 | ICRA | Vision based MAV navigation in unknown and unstructured environments. | Michael Blsch, Stephan Weiss, Davide Scaramuzza, Roland Siegwart |
| 2010 | ICRA | A constricted bundle adjustment parameterization for relative scale estimation in visual odometry. | Friedrich Fraundorfer, Davide Scaramuzza, Marc Pollefeys |
| 2010 | IROS | On the initialization of statistical optimum filters with application to motion estimation. | Laurent Kneip, Davide Scaramuzza, Roland Siegwart |
| 2010 | ICRA | Improved appearance-based matching in similar and dynamic environments using a Vocabulary tree. | Deon George Sabatta, Davide Scaramuzza, Roland Siegwart |
| 2010 | ICRA | MAV navigation through indoor corridors using optical flow. | Simon Zingg, Davide Scaramuzza, Stephan Weiss, Roland Siegwart |
| 2009 | ICCV | Absolute scale in structure from motion from a single vehicle mounted camera by exploiting nonholonomic constraints. | Davide Scaramuzza, Friedrich Fraundorfer, Marc Pollefeys, Roland Siegwart |
| 2009 | IROS | Scene recognition with omnidirectional vision for topological map using lightweight adaptive descriptors. | Ming Liu, Davide Scaramuzza, Cdric Pradalier, Roland Siegwart, Qijun Chen |
| 2009 | ICRA | Real-time monocular visual odometry for on-road vehicles with 1-point RANSAC. | Davide Scaramuzza, Friedrich Fraundorfer, Roland Siegwart |
| 2008 | IROS | Automatic detection of checkerboards on blurred and distorted images. | Martin Rufli, Davide Scaramuzza, Roland Siegwart |
| 2008 | IROS | Performance evaluation of a vertical line descriptor for omnidirectional images. | Davide Scaramuzza, Cdric Pradalier, Roland Siegwart |
| 2008 | ICVS | A Tale of Two Object Recognition Methods for Mobile Robots. | Arnau Ramisa, Shrihari Vasudevan, Davide Scaramuzza, Ramn Lpez de Mntaras, Roland Siegwart |
| 2008 | ICVS | Monocular Omnidirectional Visual Odometry for Outdoor Ground Vehicles. | Davide Scaramuzza, Roland Siegwart |
| 2007 | IROS | Extrinsic self calibration of a camera and a 3D laser range finder from natural scenes. | Davide Scaramuzza, Ahad Harati, Roland Siegwart |
| 2006 | ICRA | Automatic Self-calibration of a Vision System during Robot Motion. | Agostino Martinelli, Davide Scaramuzza, Roland Siegwart |
| 2006 | IROS | A Toolbox for Easily Calibrating Omnidirectional Cameras. | Davide Scaramuzza, Agostino Martinelli, Roland Siegwart |
| 2006 | ICVS | A Flexible Technique for Accurate Omnidirectional Camera Calibration and Structure from Motion. | Davide Scaramuzza, Agostino Martinelli, Roland Siegwart |
| 2005 | ICRA | Ball Detection and Predictive Ball Following Based on a Stereoscopic Vision System. | Davide Scaramuzza, Stefano Pagnottelli, Paolo Valigi |