Title DiVAD: A Non-Directive Directional Vector Anchor Framework for Road Infrastructure (Version 0. 1 Hypothesis Stage) Abstract Modern autonomous driving systems face a massive scalability barrier: the astronomical cost of "Smart Road" infrastructure. While V2X and high-density sensor networks are technically ideal, the budget required for nationwide deployment is prohibitive. This paper proposes DiVAD (Directional Vector Anchor Deployment), a "Quiet Infrastructure" framework designed for immediate, low-cost scalability. Instead of turning roads into complex computing nodes, DiVAD introduces sparse, non-directive geometric reference anchors. These anchors provide a "Geometric Truth" that reduces computational uncertainty for vehicles without requiring a dedicated power grid or high-bandwidth communication. Strategic Impact: From "Cost Hell" to Realistic Scaling The core innovation of DiVAD lies in its Phase-based Deployment Strategy: Foundation First (Low Cost): Deploy DiVAD anchors during routine road maintenance (e. g. , lane repainting) to establish a nationwide baseline for autonomous reliability at a fraction of the cost of smart sensors. Selective Upgrades: Intelligent sensors and V2X can then be added incrementally to high-traffic or high-risk zones, using the existing DiVAD grid as a stable data foundation. By shifting the paradigm from "Instruction-heavy" to "Reference-only" infrastructure, DiVAD offers the only economically viable path toward nationwide autonomous driving readiness. Contact TeamVARYVERY (@yellowglovez) varyvery. iam@gmail. com
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