SOURCE-LINKED INTELLIGENCE

WiFlow: Estimating Optical Flow using WiFi Channel State Information

arXiv · AI, language, vision and robotics · article · Sep 2, 2026 · UTC

Knowing where and how fast objects are moving within a scene is important across various domains. Usually, cameras are used to capture the data necessary for this task, but adding cameras often raises privacy concerns, and the quality of captured frames is heavily influenced by lighting conditions. In this work, we explore using WiFi channel state information (CSI) instead of camera frames for optical flow estimation. We propose WiFlow, a CSI based flow estimator, a preprocessor evaluation for CSI, and three model architectures that offer different trade-offs between accuracy and complexity. F

Read original source ↗ Open in workspace

recordType

paper

region

Global