Advances in Event-Based Vision and Robotics

The field of event-based vision and robotics is rapidly advancing, with a focus on developing innovative systems that can efficiently process and analyze visual data in real-time. Recent developments have highlighted the potential of event-based cameras, which detect changes in the visual scene and provide high temporal resolution and low latency. These cameras are being explored for various applications, including robotic perception, motion estimation, and object detection. Noteworthy papers in this area include:

  • Phaser, a system that uses laser light to deliver power and control to mobile robots, demonstrating the potential for wireless power delivery and communication.
  • Iterative Event-based Motion Segmentation by Variational Contrast Maximization, which proposes a novel method for motion segmentation using event cameras, achieving state-of-the-art accuracy on moving object detection benchmarks.

Sources

Set Phasers to Stun: Beaming Power and Control to Mobile Robots with Laser Light

BiasBench: A reproducible benchmark for tuning the biases of event cameras

Event-Based Eye Tracking. 2025 Event-based Vision Workshop

Iterative Event-based Motion Segmentation by Variational Contrast Maximization

E-VLC: A Real-World Dataset for Event-based Visible Light Communication And Localization

Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception

A Survey on Event-based Optical Marker Systems

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