Cloud Drive Future offers an intelligent connected vehicle regulatory platform for autonomous driving demonstration zones, built on a big data infrastructure. This platform provides a one-stop solution for autonomous driving regulation, covering everything from vehicle network access, manufacturer/vehicle information management, real-time vehicle operation monitoring, to vehicle data analysis. The platform adopts an innovative visual algorithm model configuration, helping operators customize algorithm models, enhancing regulatory capabilities, and providing a foundation for high-level autonomous driving capability assessment.

Schematic Diagram of Regulatory Platform Process

Platform Functions

•  Access Management

  Fully online management of vehicles, enterprises, and personnel. Simplifies and makes the access process transparent, shortening approval cycles, ensuring traceability, and improving efficiency for both enterprises and regulators.

•  Vehicle Monitoring

  Dynamically displays real-time vehicle operation status and regional network coverage; stores static trip data for convenient and accurate data retrieval during the regulatory process.

• Approval Center

  Allows easy editing and customization of approval processes through highly decoupled and user-friendly graphical design.

• Algorithm Models

  Subscribe to real-time monitored autonomous driving events based on actual data source conditions.

• Device Monitoring

  Unified configuration management of devices enables centralized hardware asset management.

• Network Quality Management

  Supports vehicle-to-cloud and cloud-to-cloud speed testing services, automating periodic speed test tasks, with cloud-side unified control and result management.

• Data Analysis

  Detailed analysis of autonomous driving incidents based on platform data to assist in responsibility determination and provide data support for subsequent technology iterations.

Product Advantages

• Comprehensive Functionality

  A one-stop solution for regulating autonomous driving vehicles, covering vehicle network access, information management, real-time monitoring, data analysis, and score management.

• User-Friendly Graphical Orchestration

  The platform supports drag-and-drop functionality for business process or algorithm model management, adapting to the high-frequency changes typical of the rapidly developing autonomous driving industry.

• Multiple Event Monitoring Algorithm Models

  The event model subscription platform provides algorithmic recognition capabilities for monitoring abnormal events, violations, accidents, and more. Regulators can subscribe to various event algorithm models based on their available data, efficiently completing regulatory services while preserving business value.

• Cutting-Edge Big Data Technology

  Optimizes the underlying data architecture, enabling ad hoc queries, multi-source data integration, and unified storage and computing. It extends data analysis applications based on business diversity.