車載マルチアクセスエッジコンピューティング（MEC）システム
VehicleEdge は車載ハードウェアの計算能力と発熱の限界を打破します。車載SoCと5G路側基地局間でニューラルネットワークを動的に分割実行し、4K高解像度Vision Transformerを往復15ms未満の超低遅延で処理します。
Vehicle Edge Gateway Zonal Architecture
Central Controller: Vehicle Edge Gateway — ETSI MEC Platform
Zonal Control Units & TSN Ring
- Dynamic Task Splitter & Latency Profiler
- Edge Vision Transformer Inference Engine
- Stateful Edge Microservice Migrator
- Zonal Low-Latency Edge Buffer
- Encrypted WireGuard MEC Tunnel
車両の熱設計予算とクラウドのレイテンシ制約のバランスを取る
高負荷な3Dオキュパンシーや軌道予測モデルを車載単体で実行すると300W以上の電力を消費します。VehicleEdge は無線リンク品質をリアルタイム評価し、深層レイヤーを路側MECへ動的委託することで省電力化と超高速処理を両立します。
Core Engineering Areas
- Dynamic Neural Workload Offloading — Splitting a transformer model at intermediate activation layers: the vehicle processes shallow convolutional layers, transmitting compressed feature maps to MEC nodes for heavy multi-head attention processing.
- Stateful Edge Migration — Pre-migrating the vehicle's active digital twin and perception context to the next base station's MEC server before physical radio handover occurs.
- Thermal-Aware Compute Governance — Offloading compute tasks when vehicle battery temperatures spike during fast highway cruising, allowing onboard HPC chips to enter low-power sleep states.
Technical Articles
Related Cluster Architecture Specifications
- AutomotiveSDV — Full SDV Stack & Reference Architecture
- A2HCard — Agent-to-Human (A2H) Interface Cards & In-Cabin Autonomous Interaction Manifests
- A2HumanCard — Standardized In-Vehicle AI Agent Capability Discovery, Trust & Authorization Cards
- AIDrivenSynBio — AI-Driven Synthetic Biology for Automotive In-Cabin Air Purification, Bio-Engineered Pathogen Scavengers & Molecular Biosensors