Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Understand

Event cameras are bio-inspired sensors that capture the per-pixel intensity changes asynchronously and produce event streams encoding the time, pixel position, and polarity (sign) of the intensity changes.

• Event cameras possess a myriad of advantages over canonical frame-based cameras, such as high temporal resolution, high dynamic range, low latency, etc.
• Being capable of capturing information in challenging visual conditions, event cameras have the potential to overcome the limitations of frame-based cameras in the computer vision and robotics community.
• In very recent years, deep learning (DL) has been brought to this emerging field and inspired active research endeavors in mining its potential.