ESIM: an Open Event Camera Simulator

By Henri Rebecq, Daniel Gehrig, Davide Scaramuzza. Conference on Robot Learning, 2018

576 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Learning to Detect Objects with a 1 Megapixel Event Camera (2020, methodology): “Simulation [34, 35] is an alternative way to obtain large datasets.”
High Speed and High Dynamic Range Video with an Event Camera (2019, methodology): “ESIM renders images along the camera trajectory at high framerate, and interpolates the brightness signal at each pixel to approximate the continuous intensity signal needed to simulate an event camera.”
Event-Based Vision: A Survey (2019, methodology): “This event generation model can be included in emulators [73] and simulators [74] of event cameras, and in event processing algorithms [24], [66].”
v2e: From Video Frames to Realistic DVS Events (2021, methodology): “Thus, DVS simulators[15, 21, 26] and transfer learning methods such as [26, 8] were developed to exploit existing intensity and mixed modality [11] frame datasets.”
Events-To-Video: Bringing Modern Computer Vision to Event Cameras (2019, methodology): “ESIM renders images along the camera trajectory at high framerate, and interpolates the brightness signal at each pixel to approximate the continuous intensity signal needed to simulate an event camera.”