articleOpen MINDJan 1, 2017Closed access

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

MEMueggler, EliasRHRebecq, HenriGGGallego, GuillermoDTDelbruck, TobiSDScaramuzza, Davide

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
  • ME
    Mueggler, EliasCorresponding
  • RH
    Rebecq, Henri
  • GG
    Gallego, Guillermo
  • DT
    Delbruck, Tobi
  • SD
    Scaramuzza, Davide

Topics & keywords

Keywords
  • Artificial intelligence
  • Computer science
  • Computer vision
  • Visual odometry
  • Simultaneous localization and mapping
  • Robotics
  • Odometry
  • Pixel
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