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Multi-Scenario Autonomous Driving System Solution Based on Intelligent Connected Vehicles

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System Architecture Overview

The topology diagram shows a comprehensive autonomous driving solution for intelligent connected vehicles, adopting a cloud-edge-device three-layer architecture connected through high-speed communication networks. The overall architecture is divided into cloud platform layer, communication layer, perception/execution layer, and application scenario layer, forming a closed-loop intelligent control system.

Cloud Platform Layer Functions

The cloud platform serves as the “brain” of the entire system, primarily consisting of two core components:

  • Data Dashboard: Real-time monitoring of vehicle operation status, road conditions, and task execution, providing a visualization interface for management decision-making.
  • Intelligent Driving Cockpit: Offers remote control interfaces, supporting human intervention in emergency situations to ensure system safety and reliability.

Communication Layer Design

The communication layer is the critical link connecting the cloud platform and vehicles, mainly composed of the following components:

  • 4G/5G Network: Dual-mode communication technology ensuring wide and stable signal coverage.
  • Core Devices:
    • SR800: Responsible for data access and primary processing
    • SV900: Core routing and forwarding unit supporting multi-protocol integration
    • SR830: Provides edge computing capabilities, reducing system response latency

This layer supports multiple communication technologies and protocols: low-latency links, built-in multi-network aggregation SDK, national encryption algorithms, Ntrip protocol, M12 aviation connectors, status query API, VxLAN/DNN, and dual 5G/5G+4G high-speed networks, ensuring data transmission security, stability, and real-time performance.

Perception and Execution Layer

The perception and execution layer is the core of the autonomous driving system, divided into two major control units:Domain Controller (Vehicle Perception):

  • LiDAR: Provides high-precision 3D point cloud data for obstacle recognition and environmental modeling
  • HD Cameras: Capture visual information, supporting lane recognition, traffic sign detection, etc.
  • Millimeter-wave Radar: All-weather operation, providing key information such as target distance and speed
  • GNSS/IMU: Delivers high-precision positioning and attitude data, supporting navigation in complex environments

Chassis Wire Controller (Vehicle Execution):

  • Steering System: Precisely controls vehicle direction, achieving smooth turning and lane changing
  • Braking System: Intelligently adjusts braking force, ensuring safe and efficient deceleration and stopping
  • Electric System: Manages power output, optimizing energy distribution

The two control units work collaboratively, forming a closed-loop control chain of “perception-decision-execution,” ensuring safe and efficient vehicle operation in various environments.

Application Scenarios

This solution is widely applicable to multiple unmanned driving scenarios:

  • Unmanned Mining Trucks: Continuous operation in mining environments, improving resource extraction efficiency
  • Unmanned Inspection: Automatic completion of equipment inspection tasks, suitable for factories, power plants, etc.
  • Unmanned Forklifts: Intelligent handling and stacking in warehouse logistics environments
  • Composite Robots: Multi-functional operations, capable of switching different tools according to requirements
  • AGV Unmanned Vehicles: Indoor point-to-point movement and material distribution

System Advantages

  1. High Integration: Modular hardware design and standardized software component interfaces for easy maintenance and upgrades
  2. Multiple Redundancy: Critical systems employ redundant design, enhancing overall reliability
  3. Real-time Response: Low-latency communication links ensure timely transmission and execution of control commands
  4. Safety and Reliability: Support for national encryption algorithms, preventing data leakage and unauthorized access
  5. Strong Scenario Adaptability: Quick adaptation to different application scenarios through configuration adjustments
  6. Good Scalability: Reserved interfaces facilitate integration with third-party systems for functional expansion

This architecture creates a complete intelligent connected vehicle solution by combining intelligent scheduling from the cloud platform with real-time response from edge devices, meeting automation needs across industrial, logistics, mining, and other fields.

 

 

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