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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title ESIM: an Open Event Camera Simulator
Organization Unit
Authors
  • Henri Rebecq
  • Daniel Gehrig
  • Davide Scaramuzza
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Event Title Conference on Robot Learning (CoRL), Zurich, 2018
Event Type conference
Event Location Zurich
Event Start Date October 1 - 2018
Event End Date October 5 - 2018
Place of Publication Conference on Robot Learning (CoRL), Zurich, 2018.
Publisher CoRL
Abstract Text Event cameras are revolutionary sensors that work radically differently from standard cameras. Instead of capturing intensity images at a fixed rate, event cameras measure changes of intensity asynchronously, in the form of a stream of events, which encode per-pixel brightness changes. In the last few years, their outstanding properties (asynchronous sensing, no motion blur, high dynamic range) have led to exciting vision applications, with very low-latency and high robustness. However, these sensors are still scarce and expensive to get, slowing down progress of the research community. To address these issues, there is a huge demand for cheap, high-quality synthetic, labeled event for algorithm prototyping, deep learning and algorithm benchmarking. The development of such a simulator, however, is not trivial since event cameras work fundamentally differently from framebased cameras. We present the first event camera simulator that can generate a large amount of reliable event data. The key component of our simulator is a theoretically sound, adaptive rendering scheme that only samples frames when necessary, through a tight coupling between the rendering engine and the event simulator. We release an open source implementation of our simulator.
Free access at Official URL
Official URL http://rpg.ifi.uzh.ch/docs/CORL18_Rebecq.pdf
Other Identification Number merlin-id:18694
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