The National Intelligent Connected Vehicle Innovation Center has unveiled a cutting-edge digital model library designed to simulate domestic traffic scenarios, providing comprehensive support for autonomous driving simulation tests. The product was officially launched on August 29 at the Beijing International Big Data Exchange Trading Platform, marking a significant milestone in the development of smart mobility solutions in China.
Background and Development
Developed by the State-owned China National Intelligent Connected Vehicle Research Institute (CNIVRI), a subsidiary of the State Grid Corporation of China, the digital model library represents a core resource for the research and testing of intelligent connected vehicles. The initiative is part of China’s broader strategy to advance autonomous driving technology and establish a robust ecosystem for smart transportation.
The Innovation Center, which was approved by the Ministry of Industry and Information Technology on May 30, 2019, has been at the forefront of this effort. The center has leveraged millions of kilometers of real vehicle data to construct a comprehensive database that covers a wide range of urban and rural road and intersection structures, including tunnels, roundabouts, and T-junctions.
Key Features of the Digital Model Library
Comprehensive Simulation of Traffic Scenarios
The digital model library is categorized into four core types: Chinese road element models, typical Chinese intersection models, vehicle and traffic participant models, and scenario environment models. These categories work together to create a multifaceted simulation of complex and variable traffic conditions.
Road Element Models
The road element models within the library are meticulously constructed to adhere to national standards. They include lane lines, various traffic signs, road text, tidal lanes, and bus lanes, covering over 90% of the regulatory requirements for road elements. This provides a solid foundation for the simulation testing of autonomous driving systems.
Intersection Models
Based on extensive real-world data, the Innovation Center has developed intersection models that accurately reflect China’s diverse road topology. These models ensure that autonomous driving systems can be tested for adaptability in different scenarios, enhancing their real-world performance.
Vehicle and Traffic Participant Models
The library includes more than a hundred types of common traffic vehicles, such as commercial vehicles, passenger cars, two-wheelers, and three-wheelers. These models are based on real vehicle data and support deep visualization development, enabling the realistic representation of vehicle dynamics and interactions.
Customizable Scenario Environment Models
The scenario environment models are designed to meet diverse testing needs. They include closed parks, highway toll stations, parking lots, and mining areas, among other road-side environmental facilities. These models enhance the adaptability of autonomous driving systems to complex environments and support the realistic simulation of construction machinery actions.
Impact and Future Prospects
The launch of the digital model library is a significant step forward for the Chinese intelligent connected vehicle industry. It not only provides a robust platform for simulation testing but also contributes to the development of a comprehensive testing ecosystem that supports the entire vehicle development process, from virtual simulation to real-world validation.
The Innovation Center has already established itself as a leader in the field, with a state-of-the-art intelligent connected vehicle scene database, virtual and human-machine interaction testing environments, and wireless communication testing environments. This positions the center to play a pivotal role in the future of smart transportation and autonomous driving technology in China.
Conclusion
The National Intelligent Connected Vehicle Innovation Center’s digital model library is a testament to China’s commitment to advancing autonomous driving technology. By providing a comprehensive simulation platform, the library not only accelerates the development of intelligent connected vehicles but also ensures that these vehicles are safe and reliable for real-world applications. As the industry continues to evolve, the digital model library will undoubtedly play a crucial role in shaping the future of transportation in China and beyond.
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