Application for Technology: Multi-Domain Fusion Domain Controller in Smart Cockpit

This announcement details the application for the multi-domain fusion domain controller in the smart cockpit sector. Based on independent cockpit domain control development experience, the continuous domain fusion route aims to enhance the intelligent driving and riding experience. **System Solutions:** - **Transition Phase:** Dual-board One BOX cockpit-driving fusion domain controller (physically separated, logically coordinated), with independent intelligent driving sensors and cabin cameras utilized in time-sharing. - **Ultimate Phase:** Single-chip cockpit-driving vehicle control fusion domain controller (SoC integration, computing power shared across domains), with unified access to all sensors (4D millimeter-wave, lidar, and shared raw data from in-cabin vision). **Software Architecture:** - **Transition Phase:** - Lightweight virtualization: QNX Hypervisor isolates cockpit and intelligent driving OS, enabling low-latency data exchange through shared memory. - Interaction mechanism: BTB Connect synchronizes states (e.g., DMS data is transmitted in real-time to intelligent driving algorithms). - **Ultimate Phase:** - Full-stack fusion OS: - Safety kernel (Microkernel ASIL-D) manages real-time controls like AEB/steering. - Safety Linux runs intelligent driving perception and planning (ASIL-B). - Customized Android implements IVI (non-safety critical). - Seamless collaboration: Cross-domain service mesh automatically allocates computing resources. **Unique Advantages:** 1. **Technological Leadership:** - Cross-domain fusion architecture breaks the traditional dispersed ECU architecture, achieving real-time data interaction and dynamic computing resource scheduling across cockpit, intelligent driving, and vehicle body domains. - AI-driven intelligence: - Multi-modal perception fusion (visual/radar/vehicle body sensor data for joint decision-making). - Online learning capability (optimizes scenario linkage strategies based on user habits). - Vehicle-cloud integration: Supports edge computing and cloud collaboration (e.g., real-time traffic data optimizing intelligent driving routes). 2. **Differentiated User Experience:** - Scenario-based intelligent services: - Proactive scenario triggering (e.g., commuting mode automatically navigates, activates seat massage, and plays music). - Multi-modal interaction fusion (voice, gesture, and biometric recognition for unified control of three domain functions). - Extreme personalization: - Biometric recognition automatically matches user presets (seating, HMI, driving mode). - Programmable scenario modes (users define cross-domain linkage rules). 3. **Sustainable Growth Capability:** - Software-defined expansion: - Hardware pre-embedded + software iteration (continuously unlocks new scenario functions via OTA). - Open API ecosystem (supports third-party developers to create scenario applications). - Data value closed-loop: - User behavior data → scenario algorithm optimization → experience upgrade positive cycle. - Shadow mode collects data to feed back into the evolution of intelligent driving algorithms. 4. **Commercial Value Barriers:** - Cost advantages: Hardware reuse rate increased by over 30%, reduced lifecycle costs. - Brand moat: User experience relies on deep system integration, hard to replicate simply. - Service value-added space: Subscription-based scenario services (e.g., paid unlock for high-end scenario modes). **Application Scenarios:** 1. Cockpit and Intelligent Driving Fusion - Fatigue monitoring → intelligent driving takeover: DMS (ASIL-B) triggers intelligent driving downgrade (ASIL-D). - Intelligent driving activation → interaction simplification: NOA activation automatically hides entertainment information, prioritizing navigation. - Voice control driving: Supports commands like “activate autonomous driving.” 2. Vehicle Body and Intelligent Driving Interaction - AEB pre-protection: Vehicle body control (ASIL-D) synchronizes with intelligent driving commands. - Rainy day adaptation: Intelligent driving recognizes rain and fog, automatically heats mirrors and adjusts wipers. - Matrix headlights avoidance: Intelligent driving adjusts lights at night to avoid glare. 3. Cockpit and Vehicle Body Coordination - Welcome mode: Automatically adjusts seat and ambient lights upon unlocking. - Door status feedback: Displays 3D animation and voice reminders when doors are not closed. - Child lock linkage: Disables rear windows upon activation and displays status. 4. Global Coordination Across Three Domains - Full-process automatic parking: Intelligent driving plans path → vehicle body folds mirrors → cockpit displays transparent chassis. - Congestion energy saving: Intelligent driving reduces air conditioning power and switches cockpit to a simplified UI. **Future Prospects:** - **Introduction Phase (2024-25):** Penetration rate: 15-25%, characterized by trends in intelligent driving equality, dominated by dual-board one box solutions. - **Penetration Phase (2026-28):** Penetration rate: 40-60%, breakthrough with single-chip solution costs reduced by 30%, subscription models maturing. - **Popularization Phase (2029-31):** Penetration rate: 75-90%, single-chip series becomes industry standard, software development costs reduced by 50%. - **Maturity Phase (2032+):** Penetration rate: >95%, characterized by central computing platform + regional control.