Safety-Constrained Vehicle-to-Pedestrian Guidance for Visually Impaired Pedestrians: Multi-Camera Consensus Gating in Edge–Fog–Cloud ITS Architecture

Driving assistance and autonomous driving are among the fastest-evolving domains of intelligent transportation systems (ITSs). However, visually impaired pedestrians (VIPs) remain weakly protected by roadsides or vehicle perception systems, especially when the right of way must be communicated in an accessible and auditable manner. In this paper, we describe a safety-constrained vehicle-to-pedestrian (V2P) architecture designed for VIP crossing assistance. The system creates a time-bounded interaction state between pedestrians, roadside infrastructure, and vehicles at the Fog level to avoid permissive instructions before all the safety conditions are satisfied. Our objective is not to design a new detector, tracker, or MLLM model. Instead, we combine edge tier descriptors, Fog-tier multi-view descriptors, and multi-camera multiple-object tracking (MC-MOT) within a latency-constrained V2P loop. Our main empirical focus is WildTrack multi-camera continuity with novel multi-camera consensus gating (MCCG), a geometric-support safety gate. The reproduced Fog-tier continuity branch reaches MOTA = 88.8%, IDF1 = 91.7%, and HOTA = 65.5%. MCCG with M = 4 retains 95% permissive eligibility while withholding permissive guidance in three of the four ID-switch frames (75%). These findings support component-level feasibility, while leaving field deployment, V2X stack validation, and user studies for future work.