Article

Non-line-of-sight passive object sensing using distributed sensing and hyperdimensional computing

The paper proposes a framework that relies solely on distributed channel measurements from communication infrastructure to sense passive entities outside a robot's field of view and perform risk-aware classification. The method uses hyperdimensional computing (HDC) to embed measurements into high-dimensional representations without explicit channel reconstruction. Numerical simulations based on commercial ray tracing and validation in a ROS smart factory scenario show accuracy of up to 89% under severe occlusion while maintaining low computational complexity.

Part of the event: Distributed Sensing and Hyperdimensional Computing Enable Non-Line-of-Sight Target Perception

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