"Intelligent Connected Vehicle Technology Roadmap 2.0" released! Juefei Technology takes the lead in realizing the large-scale implementation of the vehicle-road-cloud industry

Recently, the "2020 World Intelligent Connected Vehicle Conference" was held in Beijing. Professor Li Keqiang, chief scientist of the China Intelligent Connected Vehicle Innovation Center, released and interpreted the "Intelligent Connected Vehicle Technology Roadmap 2.0".

The Roadmap 2.0 reiterates the "Chinese Path" for the development of intelligent network, namely the highly coordinated solution of "people-vehicle-road-cloud". At the same time, it clarifies that with vehicle key technologies, information interaction key technologies and basic support key technologies as the core, it is aimed at urban roads, suburban roads, highways and other scenarios, and gradually upgrades to digitalization, intelligence, networking and software through the continuous extension of vehicle platforms and infrastructure, so as to jointly support the development of China's intelligent network industry.

Figure: Professor Li Keqiang interprets "Technical Roadmap 2.0 for Intelligent Connected Vehicles"

The release of "Roadmap 2.0" once again confirms the value and importance that Juefei Technology's development concept and strategy implementation in the field of intelligent networking have brought to the industry.

In 2019, Juefei Technology proposed a vehicle-road-cloud collaboration and software-hardware integrated architecture. Through the post-deep learning data fusion solution, the digitalization and intelligence of vehicles and roads are continuously upgraded, and a fusion computing data engine platform is created. The goal is to start with high-precision automotive-grade map data, combined with edge software inference engines, and through closed loops of different business scenarios, to create a vehicle-road collaborative network, laying a solid foundation for the vehicle-road-cloud collaborative model of new infrastructure.

Juefei Technology believes that solving the problem of "unified timing and spatial synchronization" will become the focus and final solution of the vehicle-road collaborative industry.

To solve this problem, Juefei Technology has innovatively divided the industry into multiple levels, including: road intelligent perception terminal layer, edge computing content layer, communication layer, vehicle terminal and cloud control platform. At the same time, combined with the fusion computing data engine platform, it can provide solutions for different levels of the industry.

In the process of solving the problem of "unified timing and space synchronization", in 2020, Juefei Technology has taken the lead in realizing large-scale implementation in the "vehicle-road-cloud" industry and created a synergistic network effect.

1. Technical implementation of vehicle-road collaboration: a high-precision fusion positioning solution combining RTK and roadside auxiliary positioning

As the "China Mobile's Autonomous Driving Solution Partner", Juefei Technology has joined hands with China Mobile to realize the technical implementation of "vehicle-road collaboration" for the first time in the industry.

Juefei Technology uses roadside sensors such as laser radar and cameras, combined with laser point cloud, image and high-precision map data, to achieve vehicle perception, recognition and tracking, and output centimeter-level precision and semantic positioning results in real time. The positioning results can be efficiently transmitted to autonomous driving vehicles through China Mobile 5G. This solution will be applied to high-precision positioning in scenes such as ports and urban viaducts.

Figure: Roadside equipment has been put into formal use on the test section

In this technical scenario, only a small number of roadside sensors need to be deployed in the operation area. Through the joint support of vehicle-road collaboration and 5G technology, the number and configuration standards of sensors used in autonomous driving vehicles can be effectively reduced, further improving the production ratio of autonomous driving vehicles and management, and greatly expanding space for future industrial chains and development layouts.

2. Road asset digitization and intelligent inspection system

Juefei Technology believes that "road facility digitization" is also a key link in the implementation of vehicle-road collaboration and autonomous driving. Facing the field of new infrastructure smart transportation empowerment, Juefei Technology has currently launched a "road asset digitization and intelligent inspection system", which has been officially implemented on key highway sections in Anhui, Zhejiang and other places.

This system builds a high-precision digital model of road infrastructure. Through the deep integration of artificial intelligence and road management systems, it realizes automated management and integrated operation and maintenance of road assets. While effectively extending the service life of roads, it can lay the foundation for "vehicle-road collaboration". The high-precision and high-fresh data generated by the system will become an important breakthrough point for the sustainable development of intelligent networking in high-speed scenarios.

3. Intelligent Traffic: Lane-level real-time intelligent detection of traffic events

Juefei Technology applies its data fusion capabilities, as well as its leading image recognition algorithms and training models, to smart traffic management, and has completed the construction of "lane-level real-time traffic event intelligent detection" technology.

This technology uses data from multiple sensors such as roadside cameras and millimeter waves, combined with the edge's millisecond-level real-time calculations and processing of target information on changes in image sequences.

Based on deep learning models such as image algorithms and vehicle tracking, combined with lane-level high-precision maps, traffic events, types and location information are output in a structured and semantic manner and transmitted to the business platform through the cloud. It can detect a variety of traffic events such as reverse/abnormal vehicles, abnormal traffic, electronic signs, congestion, etc.

Figure: Example of lane-level real-time traffic detection results from Juefei Technology

This technology builds a new generation of intelligent transportation system with collaborative control, collaborative safety and collaborative services through all-round connections and efficient information services among people, vehicles, roads and cloud platforms. It is of great significance to improving the efficiency of the transportation system, saving resources, reducing environmental pollution, reducing accidents and improving traffic management.

In August 2020, the Ministry of Transport issued the "Guiding Opinions on Promoting the Construction of New Infrastructure in the Transportation Sector", which pointed out that intelligent driving technology needs to deeply empower transportation facilities, and accurate perception, precise analysis, and refined management will become a strong support for accelerating the construction of a "strong transportation country."

As a pioneer and backbone of China's vehicle-road-cloud industry model, Juefei Technology will continue to work with industry colleagues to innovate, boldly explore the blue ocean of key core technologies, enable core technologies to continue to be mass-produced, and help intelligent networking continue to grow from a "transportation power" to a "transportation powerhouse."

As a winner of Toutiao's Qingyun Plan and Baijiahao's Bai+ Plan, the 2019 Baidu Digital Author of the Year, the Baijiahao's Most Popular Author in the Technology Field, the 2019 Sogou Technology and Culture Author, and the 2021 Baijiahao Quarterly Influential Creator, he has won many awards, including the 2013 Sohu Best Industry Media Person, the 2015 China New Media Entrepreneurship Competition Beijing Third Place, the 2015 Guangmang Experience Award, the 2015 China New Media Entrepreneurship Competition Finals Third Place, and the 2018 Baidu Dynamic Annual Powerful Celebrity.