SOURCE-LINKED INTELLIGENCE
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 com
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-27T20:25:50.000Z
First collected: 2026-09-21T08:32:02.028Z. This is not the publication date.