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Autonomous Driving Control
Introduction
Based on Huahai Technology's RapidECU all-domain electronic control development platform, this solution addresses industry pain points of traditional intelligent driving systems — weak perception redundancy, large multi-sensor fusion deviation, lagging decision planning, poor vehicle-control smoothness, insufficient stability under high/low temperature conditions, disconnected coordination between intelligent driving and the vehicle chassis/powertrain, and difficult mass-production adaptation — delivering a professional, integrated intelligent driving domain control solution. As the core of vehicle intelligent driving decision-making, the solution coordinates all types of sensor data from cameras, radar, LiDAR and millimeter-wave radar, completing the full closed loop of environment perception, target recognition, path planning, vehicle decision-making and chassis execution control, achieving full-function coverage from assisted driving to high-level autonomous driving. Backed by a full proprietary toolchain — ECUCoder automatic code generation, MeCa measurement & calibration, SimCar intelligent-driving-dedicated HIL simulation and the SimCore virtual proving ground — it is fully compatible with MATLAB/Simulink model-based development, supports the AUTOSAR architecture, SOA service-oriented adaptation and the ISO 26262 functional safety system, and adapts to all powertrain types: battery-electric, hybrid, range-extender and fuel vehicles. It covers the full lifecycle of prototype algorithm validation, bench simulation testing, real-vehicle calibration adaptation and mass production, effectively improving the safety, comfort, scenario coverage and all-weather stability of intelligent driving.
Scheme architecture diagram

Four-layer full-stack intelligent driving domain control system architecture

Plain Text
┌─────────────────────────────────────────────────────────┐
│ Top Development Tool Layer (Full-chain Closed Loop) │
│ ECUCoder code generation | 

│ MeCa X intelligent-driving calibration | 

│ SimCar intelligent-driving HIL test bench | 

│ SimCore virtual scenario simulation | 

│ Bus recorder | 

│ EOL production-line test equipment  |├─────────────────────────────────────────────────────────┤
│ Middleware Software Layer (Intelligent Driving Domain Control Core)│
│ Multi-sensor fusion algorithms |  

| 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   |├─────────────────────────────────────────────────────────┤
│ Hardware Layer (Dedicated Intelligent Driving Domain Controller Platform)│
│ AI22 high-end intelligent-driving domain controller   | 

| 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    |├─────────────────────────────────────────────────────────┤
│ Vehicle Application Layer (Full-domain Intelligent Driving Control)   │
│ L2–L2+ driver assistance functions    | 

| 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.


Functional Features

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.


Advantages of the plan

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.


Success Case
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