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After the list of pilot cities for vehicle-road-cloud was announced, the construction and application of vehicle-road-cloud integration and the business model have received great attention. How to achieve the integration of data from the three terminals of vehicle, road and cloud? How to give urban transportation higher availability and efficiency have become the focus of attention of various cities.

From August 16 to 17, 2024, the 4th Shenyang Intelligent Connected Vehicle Conference was grandly held in Dadong District, Shenyang. With the theme of "Vehicle-Road Collaboration, New Quality Empowerment", the conference was co-hosted by the Shenyang Municipal People's Government and the China Electric Vehicle Hundred People's Association, and co-organized by the Shenyang Municipal Industry and Information Technology Bureau, Dadong District People's Government and other institutions. The conference attracted leaders of national ministries and commissions, relevant leaders of local governments, well-known academicians and experts, domestic and foreign corporate representatives, mainstream media and other elites from all walks of life to gather together to discuss the cutting-edge trends, business exploration and operation models of the intelligent connected vehicle industry.

At this conference, Mushroom Autolink CTO Guo Xingrong attended the Vehicle-Road-Cloud Integration Application Practice and Business Exploration Forum and delivered a speech entitled "Vehicle-Road-Cloud Integration Technology Innovation Practice", which fully demonstrated Mushroom Autolink's outstanding achievements and leading technologies in the field of vehicle-road-cloud integration.

It is imperative to connect the data of vehicles, roads and clouds

The core of vehicle-road-cloud integration is to integrate data from vehicles, roads and the cloud to form a coordinated intelligent transportation ecosystem. However, achieving this goal is not easy. Guo Xingrong, CTO of Mushroom Car Union, pointed out that in this process, there are several key challenges that need to be overcome, and how to make roadside infrastructure play a greater value is the key to construction.

First, whether the software and hardware form standardized products. In the field of vehicle-road-cloud integration, the standardization of software and hardware is of great significance, which means that the construction of pilot applications is replicable and scalable, and can significantly reduce production costs and deployment difficulties. For the entire industry, standardized products are conducive to promoting the coordinated development of the industrial chain, enhancing the compatibility and interoperability of equipment from different manufacturers, and accelerating the popularization and application of technology. At the same time, standardization also helps to establish unified quality standards and specifications, ensure product stability and reliability, optimize user experience, and enhance the market's trust and acceptance of vehicle-road-cloud integration technology.

At present, Mushroom Autolink has successfully developed the industry's first complete vehicle-road-cloud integrated standard product package MOGO Package, covering the vehicle-road-cloud integrated system MRS and a full range of three-end software and hardware products, such as AI digital road base stations, autonomous driving vehicles, AI intelligent cloud platforms, etc. These products are highly standardized and highly versatile.

Second, whether the three ends of vehicle, road and cloud can be connected. The connection of vehicle, road and cloud is the key to realizing intelligent transportation. If the vehicle, road and cloud are isolated from each other, information cannot be effectively circulated and coordinated, and the advantages of vehicle, road and cloud technology cannot be fully exerted. Connecting the three ends can realize real-time data interaction and sharing, so that vehicles can obtain road conditions and decision support from the cloud in real time, road facilities can be intelligently adjusted according to vehicle dynamics, and the cloud can optimize management by integrating global information. This can not only improve the safety and efficiency of transportation, but also lay the foundation for new business models and service innovations, and promote the intelligent transformation of the entire transportation industry.

With its self-developed advanced technology, Mushroom Autolink has successfully achieved the effective connection of the three ends of vehicle, road and cloud. For example, the roadside edge perception system MRS can work closely with the smart transportation AI cloud platform to achieve real-time interaction and sharing of data, thereby providing more accurate services and support for vehicles. Recently, after testing by China Automotive (Beijing) Intelligent Connected Vehicle Research Institute Co., Ltd., Mushroom Autolink's AI digital road base station and its system (MRS) met the highest requirements of the "Test Methods and Standards for Vehicle-Road Collaborative Roadside Perception Systems (Draft for Approval)" of the China Academy of Information and Communications Technology. The test results show that Mushroom Autolink's AI digital road base station has achieved and exceeded the SL3 standard in terms of perception coverage, system perception time accuracy, and perception latency, while the positioning accuracy, heading angle, and size detection accuracy have reached the industry-leading level.

Third, how to generate usable and useful high-quality data. High-quality data is the cornerstone of the integrated development of vehicle, road and cloud. Only by generating usable and useful high-quality data can we provide accurate basis for intelligent decision-making and optimization. Usable data means that the data format is standardized, easy to process and analyze, and useful data can reflect the real traffic conditions and needs and have practical application value. High-quality data helps to optimize traffic flow management, improve the accuracy and safety of autonomous driving, and support accurate traffic planning and prediction. It is of great significance to alleviate urban traffic congestion, reduce energy consumption, and reduce environmental pollution. At the same time, high-quality data can also provide valuable resources for related enterprises and research institutions, and promote continuous improvement and innovation of technology.

Mushroom Autolink uses a variety of means to ensure the high quality and availability of data. First, hardware devices such as the MOGO AI Station, an AI digital road base station of Mushroom Autolink, have high-precision perception and collection capabilities, and can obtain rich and accurate data. Secondly, it uses leading algorithms and models to deeply process and analyze data to extract valuable information. At the same time, Mushroom Autolink has been continuously optimizing the data collection and processing process, strengthening data quality control, and ensuring that the generated data is usable and useful high-quality data.

Fourth, how data can empower applications. Data can achieve accurate demand forecasting. By analyzing traffic flow, travel patterns, weather conditions, etc., it can help traffic management departments plan road resources, optimize traffic lights, reduce congestion and improve efficiency. It can improve the safety and reliability of autonomous driving, and integrate multi-source data from vehicles, roads and clouds to provide autonomous driving systems with a more comprehensive and accurate understanding of scenarios, helping them make safer and more reasonable decisions. It helps optimize energy management, promote personalized travel services based on data modeling and analysis such as vehicle driving, and improve travel experience and safety. It can also provide decision-making support for traffic planning and urban development, mine data to discover bottlenecks, provide a basis for infrastructure planning, and promote sustainable urban development.

Based on the full stack of self-developed vehicle-road-cloud integrated technologies, products and solutions, Mushroom Autolink conducts in-depth mining and analysis of data such as traffic flow, travel patterns, and weather conditions to achieve accurate demand forecasts, and collaborates with traffic management departments to optimize road resource allocation and signal light settings, reduce congestion and improve traffic efficiency. On the other hand, it integrates multi-source data from vehicles, roads, and clouds to provide comprehensive and accurate scene understanding for the autonomous driving system, improving the safety and reliability of autonomous driving. At the same time, it uses data such as vehicle routes and speeds to develop optimal route planning for intelligent connected vehicles to ensure safety and efficiency.

At the same time, Mushroom Car Union has built a sustainable business operation model. In the cooperation with the Internet of Vehicles pilot zone, it has achieved the creation of commercial value by providing smart bus operation services, smart transportation solutions, etc. At the same time, Mushroom Car Union continues to optimize the cost structure, improve service quality and efficiency, and expand more application scenarios and customer groups to ensure the sustainability and profitability of business operations.

Make vehicle-road-cloud integration truly “useful”

On the technical level, Mushroom Autolink is the only complete solution in the industry that realizes the linkage of vehicle, road and cloud, successfully breaking down the barriers between road, cloud data and vehicle and traffic management. This includes various self-driving vehicles to meet the needs of different scenarios; smart city and road infrastructure to achieve real-time digitalization of roads and vehicle-road collaboration; and AI cloud platform for government and intelligent network data operation services to achieve efficient data processing and application.

In addition, the AI ​​digital road base station and its system (MRS) independently developed by Mushroom Auto can realize the real-time data twinning of intersections and continuous sections. MRS uses a multimodal perception large model, and the algorithm accuracy far exceeds the C4 standard, reaching the industry's highest "double SL3" requirements (Institute of Information and Communications Technology-2024). At the same time, Mushroom Auto is also in the leading position in the industry in terms of end-to-end large model architecture for autonomous driving. Many AI algorithms rank first in the world's authoritative lists, such as its BigFusion model in the world's authoritative lists such as SemanticKITTI (75.9 IoU) and nuScenes datasets (83.2 mIoU). Converting real physical scenes into 3D visual images further improves the level of refinement of traffic management. Through the joint control of the front vehicle warning and the rear vehicle, the full-stack capability construction of the cloud-vehicle-road link has been completed, providing a strong guarantee for the safety and efficiency of traffic.

In practice, Mushroom Car Connect's products and solutions fully comply with the requirements of the national "Vehicle-Road-Cloud Integration Pilot Guidelines". The company actively participated in the compilation of the country's first "Vehicle-Road-Cloud Integration Practical Application White Paper" and "Vehicle-Road-Cloud Integration Construction Guidelines", and continued to participate and lead in the formulation of industry standards and practical applications. In addition, with rich and mature experience in the implementation of vehicle-road-cloud integration, Mushroom Car Connect's technology and standardized products have been rapidly implemented in many places and scenarios, covering a variety of complex environments such as urban open roads, highways, parks, and scenic spots.

In Beijing, Mushroom Autolink has helped Beijing build a highland for intelligent networked vehicles by building digital road base stations and providing autonomous driving vehicle operations. In Shanghai, it actively participated in the construction of integrated vehicle-road-cloud infrastructure, autonomous driving vehicle testing, and intelligent networked data applications. In Longhua, Shenzhen, the infrastructure of Dalang Fashion Town was upgraded and renovated intelligently, and an intelligent networked cloud control platform was built. In Shenyang, Liaoning, the first intelligent networked vehicle pilot zone in Northeast China was built, and the implementation and application of autonomous driving and vehicle-road collaboration were the first to be realized. In Chengdu, Sichuan, an intelligent networked comprehensive application demonstration project was built, including new infrastructure such as the smart transportation AI cloud platform and the autonomous driving system. In Hengyang, Hunan, the first city-level autonomous driving project in China was implemented, and the first phase of road intelligent upgrades has been successfully delivered. In Dali, Yunnan, a "vehicle-road-cloud integration" system with functions such as road information perception, vehicle-road information interaction, and road-cloud information transmission was built. In Ezhou, Hubei, the construction content covers vehicle-road collaborative smart roads, multi-scenario autonomous driving vehicle operations, and urban transportation digital bases.

Not only in cities, Mushroom Autolink's vehicle-road-cloud integrated system solution has also achieved remarkable results in park scenic spots and highways. In the Erhai Smart Tourism Scenic Area in Yunnan, the first "intelligent network connection + smart tourism" ecological demonstration zone in the southwest region was created. In Yangma Island, Yantai, Shandong, the intelligent network connection project of Yangma Island Tourism Resort and Linglong Tire Base was carried out. In the Zhangjiawo Town Industrial Park in Tianjin, the last kilometer problem of residents' travel in the Tianjin South Railway Station area was effectively solved. In the Qinghai Lake Erlangjian Tourist Scenic Area, it assisted the construction of the Qinghai Lake Demonstration Zone, an international eco-tourism destination, explored the new model of "tourism + technology", and provided autonomous driving tourist bus services. At Hubei Huahu Airport, it participated in the autonomous driving and vehicle-road collaboration project of Asia's first cargo hub airport.

Mushroom Car Union integrates multi-source data through the vehicle-road-cloud integrated system to achieve real-time information interaction and collaborative decision-making, which not only improves the intelligence level of urban transportation, but also provides a solid foundation for the full implementation of the vehicle-road-cloud integrated application pilot. With the continuous advancement of technology, policy support and market demand growth, we believe that Mushroom Car Union will continue to lead the development of vehicle-road-cloud integration and bring more possibilities to future transportation.