mlsanityData to 7 Oct 2026

Feedback control of event cameras

arXiv 2105.00409 ↗First posted 2 May 2021cs.CVcited by 20

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Abstract (arXiv)

Dynamic vision sensor event cameras produce a variable data rate stream of brightness change events. Event production at the pixel level is controlled by threshold, bandwidth, and refractory period bias current parameter settings. Biases must be adjusted to match application requirements and the optimal settings depend on many factors. As a first step towards automatic control of biases, this paper proposes fixed-step feedback controllers that use measurements of event rate and noise. The controllers regulate the event rate within an acceptable range using threshold and refractory period control, and regulate noise using bandwidth control. Experiments demonstrate model validity and feedback control.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). Builds on 2 of its 19 references that are in the map. First posted on arXiv 2 May 2021.

Builds on

2 of 19 references.

References · 2

  1. 2019Event-based Vision: A Surveycited by 1,010
  2. 2020v2e: From Video Frames to Realistic DVS Eventscited by 24

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 5; 2023: 1; 2024: 8; 2025: 3; 2026: 3.

20 papers.

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  1. 2022E-NeRF: Neural Radiance Fields from a Moving Event Cameracited by 70
  2. 2022Are High-Resolution Event Cameras Really Needed?cited by 18
  3. 2022Emergent Visual Sensors for Autonomous Vehiclescited by 18
  4. 2024Table tennis ball spin estimation with an event cameracited by 11
  5. 2022Control and Evaluation of Event Cameras Output Sharpness via Biascited by 10
  6. 2024Enhancing Visual Place Recognition via Fast and Slow Adaptive Biasing in Event Camerascited by 10
  7. 2023An Asynchronous Intensity Representation for Framed and Event Video Sourcescited by 5
  8. 2024Neuromorphic Synergy for Video Binarizationcited by 3
  9. 2024Event Cameras Meet SPADs for High-Speed, Low-Bandwidth Imagingcited by 3
  10. 2024Pushing the boundaries of event subsampling in event-based video classification using CNNscited by 2
  11. 2024Autobiasing Event Camerascited by 2
  12. 2025Making Every Event Count: Balancing Data Efficiency and Accuracy in Event Camera Subsamplingcited by 2
8 more
  1. 2024Optimal OnTheFly Feedback Control of Event Sensorscited by 1
  2. 2024Low-Latency Scalable Streaming for Event-Based Visioncited by 1
  3. 2025On the Theory of Bias Tuning in Event Camerascited by 1
  4. 2025BiasBench: A reproducible benchmark for tuning the biases of event camerascited by 1
  5. 2022Spiking Cochlea with System-level Local Automatic Gain Controlcited by 0
  6. 2026Event Driven Clustering Algorithmcited by 0
  7. 2026FS-DVS: A Frequency-Selective Dynamic Visual Sensing Paradigm for Enhancing Information Completenesscited by 0
  8. 2026Modelling dynamic systems transfer functions from events in computational neuromorphic imagingcited by 0