Four-layer full-stack intelligent driving domain control system architecture
Plain Text │ MeCa X intelligent-driving calibration | │ SimCar intelligent-driving HIL test bench | │ SimCore virtual scenario simulation | │ Bus recorder | │ EOL production-line test equipment |├─────────────────────────────────────────────────────────┤ | Environment perception & object recognition | | Path planning & decision-making | | Adaptive cruise control | Lane-keeping assist | | Automatic emergency braking logic | | Intelligent-driving vehicle control strategy | | Cross-domain coordinated scheduling | | Intelligent-driving fail-safe protection system |├─────────────────────────────────────────────────────────┤ | S3 high-performance intelligent-driving & powertrain fusion controller | | HD video/radar signal interfaces | | High-speed Ethernet/CAN FD communication array | | High-compute real-time processing | | Automotive-grade wide-temperature design | | Anti-interference hardware architecture |├─────────────────────────────────────────────────────────┤ | Full-speed-range adaptive cruise control | | Intelligent lane centering | | Automatic lane-change assist | | Emergency braking protection | | Vehicle-level coordinated intelligent driving control |└─────────────────────────────────────────────────────────┘ |
System interconnection logic
Whole-vehicle vision / radar / LiDAR sensors and body attitude signals → intelligent driving domain control unit (perception fusion, decision planning, vehicle-control calculation) → cross-domain coordinated execution by the vehicle central domain, motion domain, powertrain domain and braking/steering systems. The upper-computer toolchain completes the full closed loop of intelligent-driving algorithm modeling, automatic code generation, full-scenario virtual simulation, real-vehicle functional calibration, production flashing and fault diagnostics.
1. High-precision multi-sensor fused perception
Supporting redundant fusion of cameras, millimeter-wave radar, LiDAR and ultrasonic radar, it accurately recognizes road targets such as vehicles, pedestrians, non-motor vehicles, lane lines, traffic signs and obstacles, effectively avoiding the recognition deviation of a single sensor and failure in harsh environments, and improving perception accuracy in complex road conditions.
2. Full-scenario high-level assisted-driving functions
Fully covering mainstream L2 to L2+ intelligent driving functions, including full-speed-range ACC adaptive cruise, LKA lane keeping, LCC lane centering assist, AEB autonomous emergency braking, ALC automatic lane change, driver fatigue monitoring and intelligent speed-limit adaptation, it meets driving needs across urban roads, expressways and highways.
3. Intelligent path planning and smooth vehicle control
It dynamically plans driving paths based on real-time traffic and vehicle status, precisely outputs acceleration, deceleration and steering commands, and coordinates the vehicle's powertrain, braking and steering systems for smooth control, solving the jerkiness, abrupt acceleration/deceleration and stiff steering of traditional intelligent driving and greatly improving ride comfort.
4. All-weather complex-condition adaptation
Perception and decision strategies are optimized for extreme scenarios such as rainy nights, fog, backlight, low light, strong light, congested roads, construction zones and slopes/curves, effectively handling sensor noise, target occlusion and sudden road-condition changes, improving the all-weather stability of the intelligent driving system.
5. Cross-domain coordinated vehicle control
Deeply interfaced with the vehicle central domain, motion chassis domain, powertrain domain and thermal management domain, it precisely matches intelligent-driving commands with vehicle dynamic performance, and adaptively adjusts vehicle-control strategies according to vehicle load, battery status and chassis attitude, avoiding conflicts between intelligent-driving commands and vehicle operating conditions.
6. Model-based iteration and full-scenario simulation
Intelligent-driving perception, decision and control algorithm models are quickly built on Simulink, and ECUCoder generates automotive-grade production code with one click. Backed by the SimCore virtual proving ground and SimCar intelligent-driving HIL bench, it simulates hundreds of thousands of road, weather and fault scenarios for batch algorithm iteration and validation, greatly reducing real-vehicle test costs and risks.
1. Full-scenario intelligent driving capability, greatly improving driving safety
Multi-sensor redundant fusion plus all-condition adaptive strategies effectively compensate for human blind spots and slow reaction, comprehensively avoiding rear-end collisions, lane departure and obstacle impacts, and significantly improving vehicle active safety.
2. Self-controlled core algorithms, free from technology monopolies
Intelligent-driving perception fusion, decision planning, vehicle-control and fault-protection algorithms are all developed in-house; the full development toolchain has no overseas licensing binding, with fully open low-level code, so customers can iterate intelligent-driving functions themselves and accumulate high-level intelligent driving core IP.
3. High development iteration efficiency and rapid model adaptation
With reusable same-source software and hardware and full upfront MIL/SIL/HIL verification, the vast majority of scenario algorithm iterations and functional adaptation are completed on the virtual platform without frequent real-vehicle debugging; the intelligent driving system development cycle is shortened by more than 50%, supporting rapid mass production of new models.
4. Highly universal software and hardware adaptable to multiple vehicle platforms
The modular software/hardware architecture flexibly adapts to passenger vehicles, new-energy commercial vehicles and intelligent construction machinery, compatible with fuel, battery-electric, hybrid and range-extender powertrain platforms; high/low configuration intelligent-driving functions can be trimmed on demand to fit different vehicle configuration iterations.
5. Comprehensive upgrade of ride quality and user experience
Refined vehicle-speed regulation, steering control and smoothness-optimization strategies thoroughly solve the jerk, vibration and unstable following of traditional assisted driving, delivering a smooth human-machine co-driving experience and effectively reducing long-distance driving fatigue.
6. Automotive-grade reliability meeting mass production requirements
Strictly following the IATF 16949 automotive quality system and ISO 26262 functional safety development process, it supports the full set of DV/PV high/low temperature, vibration, endurance and EMC tests for the intelligent driving system, with comprehensive fault degradation and safety fallback logic, satisfying OEM standards for large-scale installation and mass production.