Computación Edge de Acceso Múltiple (MEC) Automotriz
VehicleEdge resuelve los límites térmicos y de cómputo del hardware embarcado. Al particionar redes neuronales entre el vehículo y estaciones base 5G, permite ejecutar transformers 4K en menos de 15ms ahorrando batería.
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
Equilibrando los Presupuestos Térmicos del Vehículo y las Restricciones de Latencia en la Nube
Modelos complejos de ocupación 3D consumen más de 300W a bordo, restando autonomía de batería. VehicleEdge mide la calidad del enlace móvil y delega capas profundas a nodos MEC, reteniendo los codificadores críticos en el coche.
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