articleThe International Journal of Robotics ResearchFeb 1, 2017BRONZE OA

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

EMElias MuegglerHRHenri RebecqGGGuillermo GallegoTDTobi DelbruckDSDavide Scaramuzza

University of Zurich · SIB Swiss Institute of Bioinformatics · +1 more institution

Indexed inarxivcrossref

Abstract

New vision sensors, such as the dynamic and active-pixel vision sensor (DAVIS), incorporate a conventional global-shutter camera and an event-based sensor in the same pixel array. These sensors have great potential for high-speed robotics and computer vision because they allow us to combine the benefits of conventional cameras with those of event-based sensors: low latency, high temporal resolution, and very high dynamic range. However, new algorithms are required to exploit the sensor characteristics and cope with its unconventional output, which consists of a stream of asynchronous brightness changes (called “events”) and synchronous grayscale frames. For this purpose, we present and release a collection of…

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Authors

5
  • EM
    Elias MuegglerCorresponding

    University of Zurich

  • HR
    Henri Rebecq

    University of Zurich

  • GG
    Guillermo Gallego

    University of Zurich

  • TD
    Tobi Delbruck

    SIB Swiss Institute of Bioinformatics, University of Zurich, ETH Zurich

  • DS
    Davide Scaramuzza

    University of Zurich

Topics & keywords

Keywords
  • Robotics
  • Asynchronous communication
  • Exploit
  • Grayscale
  • Pixel
  • Pose
  • Brightness
  • Robot
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