面向软件定义汽车的确定性智能体 AI 执行引擎
AutomobileAgentic 将基座大模型深度桥接至车载区域控制器 (ZCU)。通过施加严格的时间计算配额、Wasm 内存沙箱隔离与形式化安全护栏,使目标导向型智能体能够自主调度导航、座舱娱乐及预测性诊断,同时绝不干扰底盘与动力总成的微秒级确定性。
Automobile Agentic Core Zonal Architecture
Central Controller: Automobile Agentic Core — Zonal MCP Hypervisor & Policy Engine
Zonal Control Units & TSN Ring
- Safety Island ASIL D Guardrail
- Wasm Sandbox Isolated Memory
- MCP Tool Ingress & Sanitizer
- SOME/IP Deterministic Gateway
- Hardware Cryptographic Root
将自主推演计算与车规级毫秒级底层控制回路深度解耦
基座模型固有的非确定性时延与偶发幻觉,与 ISO 26262 ASIL D 功能安全准则存在根本冲突。AutomobileAgentic 确立了确定性代理执行机制:智能体在严格沙箱中生成行动意图,在向整车 CAN/LIN 或 TSN 车载以太网下发底层控制原语前,必须通过由形式化方法驱动的多维动态约束矩阵验证。
Core Engineering Areas
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