SPIN Unprocessed August 31, 2026 ai_technology research
SafeStep: An Interactive Demonstration of Semantic Communication for Pedestrian Safety Monitoring
View original on arxiv.orgOverview
arXiv:2608.27688v1 Announce Type: new Abstract: 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 an Additive White Gaussian Noise (AWGN) channel, and renders user-specific positions, trajectories, and risk labels. The platform allows to independently select the transceive
SpinGraph analysis pending — check back after processing.
Ask AI about this story
Opens with the SpinGraph .md URL and structured context — one click, prompt included.
More from arXiv Machine Learning
View all →- Fast Weight Attention for Continual Learning
- Beyond Search-Imitation: Prior-Directed Exploration for Searchless Chess
- The Calls are Coming from Inside the Model: Investigating Probe-based Detection of Tool-Calling Errors in LLMs
- Diffusion Distillation for Efficient Weather Ensembles
- Leveraging a Foundation Model for the EEG-Based Diagnosis of Alzheimer's Disease
- Beyond Non-IID: Learner--Client Distribution Mismatch in Federated Learning
Markdown (.md) · JSON-LD schema (.json) · Machine-readable for AI & GEO