World's Best Scientists 2026 revealed!
Davide Scaramuzza

Davide Scaramuzza

Award Badge
Computer Science
Switzerland
2026

D-Index & Metrics

Computer Science

D-Index
113
Citations
57953
World Ranking
199
National Ranking
7

Research.com Recognitions

  • 2026 - Research.com Computer Science in Switzerland Leader Award
  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Davide Scaramuzza is affiliated with the University of Zurich in Switzerland and has contributed extensively to the fields of engineering and computer science. Their research primarily spans computer vision and pattern recognition, aerospace engineering, electrical and electronic engineering, artificial intelligence, and control and systems engineering.

The scientist's work explores several main topics, including robotics and sensor-based localization, robotic path planning algorithms, advanced memory and neural computing, reinforcement learning in robotics, advanced vision and imaging, advanced control systems optimization, and CCD and CMOS imaging sensors.

Scaramuzza has a diverse publication record with frequent contributions to several venues. The most common publication platforms include arXiv (Cornell University), the Zurich Open Repository and Archive (University of Zurich), IEEE Robotics and Automation Letters, Science Robotics, and Zenodo (CERN European Organization for Nuclear Research).

Recent notable papers include:

  • "Event-based Vision: A Survey," 2020, Zurich Open Repository and Archive (University of Zurich)
  • "Champion-level drone racing using deep reinforcement learning," 2023, Nature
  • "Dynamic obstacle avoidance for quadrotors with event cameras," 2020, Science Robotics
  • "A General Framework for Uncertainty Estimation in Deep Learning," 2020, Zurich Open Repository and Archive (University of Zurich)
  • "Time-optimal planning for quadrotor waypoint flight," 2021, Science Robotics

Frequent co-authors collaborating with Scaramuzza include Elia Kaufmann, Yunlong Song, Daniel Gehrig, Leonard Bauersfeld, and Mathias Gehrig. Each of these collaborators has contributed to multiple joint works, with collaboration counts ranging from 20 to 30 publications.

Best Publications

  • Introduction to Autonomous Mobile Robots

    Roland Siegwart;Illah R. Nourbakhsh;Davide Scaramuzza

  • Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age

    Cesar Cadena;Luca Carlone;Henry Carrillo;Yasir Latif

  • Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age

    Cesar Cadena;Luca Carlone;Henry Carrillo;Yasir Latif

  • SVO: Fast semi-direct monocular visual odometry

    Christian Forster;Matia Pizzoli;Davide Scaramuzza

  • Event-based Vision: A Survey

    Guillermo Gallego;Tobi Delbruck;Garrick Michael Orchard;Chiara Bartolozzi

  • On-Manifold Preintegration for Real-Time Visual--Inertial Odometry

    Christian Forster;Luca Carlone;Frank Dellaert;Davide Scaramuzza

  • Visual Odometry [Tutorial]

    D. Scaramuzza;F. Fraundorfer

  • SVO: Semidirect Visual Odometry for Monocular and Multicamera Systems

    Christian Forster;Zichao Zhang;Michael Gassner;Manuel Werlberger

  • Visual Odometry : Part II: Matching, Robustness, Optimization, and Applications

    F. Fraundorfer;D. Scaramuzza

  • The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and SLAM:

    Elias Mueggler;Henri Rebecq;Guillermo Gallego;Tobi Delbruck;Tobi Delbruck

  • Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars

    Ana I. Maqueda;Antonio Loquercio;Guillermo Gallego;Narciso Garcia

  • A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots

    Alessandro Giusti;Jerome Guzzi;Dan C. Ciresan;Fang-Lin He

  • A Toolbox for Easily Calibrating Omnidirectional Cameras

    Davide Scaramuzza;Agostino Martinelli;Roland Siegwart

  • 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

  • A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry

    Zichao Zhang;Davide Scaramuzza

  • A Flexible Technique for Accurate Omnidirectional Camera Calibration and Structure from Motion

    D. Scaramuzza;A. Martinelli;R. Siegwart

  • IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation

    Christian Forster;Luca Carlone;Frank Dellaert;Davide Scaramuzza

  • Vision based MAV navigation in unknown and unstructured environments

    Michael Blosch;Stephan Weiss;Davide Scaramuzza;Roland Siegwart

  • DroNet: Learning to Fly by Driving

    Antonio Loquercio;Ana I. Maqueda;Carlos R. del-Blanco;Davide Scaramuzza

  • Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High-Speed Scenarios

    Antonio Rosinol Vidal;Henri Rebecq;Timo Horstschaefer;Davide Scaramuzza

  • Monocular-SLAM–based navigation for autonomous micro helicopters in GPS-denied environments

    Stephan Weiss;Davide Scaramuzza;Roland Siegwart

  • High Speed and High Dynamic Range Video with an Event Camera

    Henri Rebecq;Rene Ranftl;Vladlen Koltun;Davide Scaramuzza

Frequent Co-Authors

Laurent Kneip
Laurent Kneip ShanghaiTech University
Rene Ranftl
Rene Ranftl Intel (United States)
Friedrich Fraundorfer
Friedrich Fraundorfer Graz University of Technology
Vladlen Koltun
Vladlen Koltun Apple (United States)
Alexey Dosovitskiy
Alexey Dosovitskiy Google (United States)
Tobi Delbruck
Tobi Delbruck ETH Zurich
Marc Pollefeys
Marc Pollefeys ETH Zurich
Frank Dellaert
Frank Dellaert Georgia Institute of Technology

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