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Paper · arXiv

SafeStep: An Interactive Demonstration of Semantic Communication for Pedestrian Safety Monitoring

In this paper, we develop SafeStep, an interactive browser-based semantic communication platform for live pedestrian safety monitoring. SafeStep extracts pedestrian information from four live traffic-camera feeds, transmits it through a semantic communication transceiver over a software-emulated Additive White Gaussian Noise (AWGN) channel, and renders user-specific positions, trajectories, and risk labels. The platform allows each user to select the transceiver, Signal-to-Noise Ratio (SNR), codelength, and Age of Information (AoI) and view the resulting pedestrian reconstruction. SafeStep compares a recently proposed semantic communication design called Meta-VIB with five baseline transc...

AuthorsChristian McDowell, Andrea Panebianco, Jeremiah Yang et al.
Primary categorycs.LG
Published27 August 2026
Last updated at source18 September 2026
cs.LG
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