Professor Meng Xiaolin gave a report on the technology of self-driving cars at the academic conference of the University of Nottingham. Reporter Zheng Huanbin
It is predicted that the production of self-driving cars in the UK will increase tremendously in the next 10 years. In July this year, the British Ministry of Transportation said in a statement, "It is estimated that the sales of self-driving vehicles will reach 52 billion pounds by 2035." November 2017, the British Chancellor of the Exchequer Hammond proposed the development of autonomous vehicles (the official British document known as the "Internet and automatic car", referred to as CAV) industry as an off Europe an important measure to maintain economic growth, the determination to be in the UK The world's forefront of the field, and intensified layout in research and development, road testing and regulatory revisions. Innovate UK has deployed a series of R&D projects around “How to use roads safer and more efficiently”. Recently, the Science and Technology Daily reporter interviewed Professor Meng Xiaolin, director of the Joint Research Center for Sino-UK Geospatial Information at the University of Nottingham, who has been involved in these projects for many years.
Prerequisites for safe driving of cars
The UK Innovation Agency is a public agency under the UK's Department of Business, Energy and Industrial Strategy, which is responsible for technological innovation; the Connected and Automated Automotive Center (CCAV) is jointly established by the UK Department of Commerce, Energy and Industrial Strategy and the Ministry of Transport, mainly to ensure UK Become a world leader in the development and testing of driverless vehicles. They are the two important agencies responsible for R&D in the government. In June of this year, CCAV and the UK Innovation Agency launched a number of new research projects – £25 million will be invested in four pilot research projects; £150 million will be provided to support research and development in the next five years.
Since 2005, the University of Nottingham has started the application of real-time dynamic GPS positioning based on wireless networks in road traffic, and developed a series of special equipment and solutions with promising market prospects. The development of self-driving cars is the result of these forward-looking research. The application offers opportunities. Meng Xiaolin was involved in the writing of the British House of Lords on the White Paper on Technology and Test Environment for the Future of Interconnected and Automated Vehicles. His research team received continuous funding from the UK government and the European Space Agency.
Meng Xiaolin said: "Research has always been less concerned about how intelligent transportation systems can better promote traffic management and use roads safer and more efficiently."
He said: "Real-time, ubiquitous, and inexpensive high-precision positioning, navigation and perception are the most basic prerequisites for safe driving of unmanned vehicles. The world of automatic driving needs some support from subversive and cost-effective technologies to achieve Efficient connectivity and interaction between vehicles and traffic control centers, vehicles and the surrounding environment, vehicles and other vehicles. Since 2015, the UK Innovation Agency has begun to deploy related research and development projects to gradually bridge this gap."
In April 2016, the UK Innovation Agency invested £1.7 million and entrusted the Meng Xiaolin team and the digital technology company Control F1 to jointly launch a two-year study, i-Motors (Intelligent Travel of the Future Urban Transportation System) project. “Developed a suite of intelligent technologies to help interconnect and communicate between unmanned vehicles and their environment, reducing collisions and traffic jams”. Meng Xiaolin said: "The project focuses on two issues: one is the communication between autopilot vehicles and the standardization of communication between autopilot vehicles and infrastructure; the second is to optimize data storage and pan/tilt processing to achieve maximum value. Turn."
Vehicle cloud computing platform will be tested in multiple cities
In April 2018, the i-Motors project successfully developed a vehicle cloud computing (VCC) platform, including self-developed high-precision, low-cost car navigation and positioning communication devices, which support interconnected and automated vehicles for data transmission and storage. The platform also enables cars to automatically report and self-diagnose problems to reduce the chance of a breakdown in the car; or to detect road hazards and warn nearby vehicles and control centers. In addition, using the above-mentioned devices and platforms, the research team conducted a large number of tests on various grades of roads in the UK to comprehensively evaluate the navigation and positioning and wireless communication minimum performance indicators required for interconnected and automated vehicles, and provide reference for the development of reasonable relevant standards. in accordance with. Control F1 is currently commercializing the first generation of prototype sensors, and with the support of municipal councils such as Nottingham, Coventry and Sheffield, the technology will be the first to be tested in these cities.
Meng Xiaolin said that the satellite signals of GNSS are vulnerable to interference from tall buildings and trees, and lack of adaptability. In the fully autonomous world, the ability of vehicle cloud computing platform systems to efficiently process massive amounts of data in real time is especially important when multiple vehicles are "talking" to each other and sharing information with traffic control centers and smart city infrastructure. “By integrating the different sensing sensors and satellite positioning, the device can provide sub-meter positioning services at a lower cost even when there is no Internet and satellite navigation constraints.”
“In addition, vehicle cloud computing platforms are able to capture data from a variety of external sources, capture real-time data from a wide range of vehicles, and provide timely and accurate updates to connected and automated vehicles, including high-precision maps. Update information, road construction and congestion conditions, weather conditions, and other various issues that may affect vehicle travel," he said.
At present, Meng Xiaolin's research team has launched another research project funded by the UK Innovation Agency – Integrated Requirements Assessment for Interconnected and Automated Vehicle Positioning Performance and Platform Development (RECAPD), with the goal of determining the positioning performance of different levels of autonomous vehicles. Parameters to develop a RECAPD processing engine that can be identified and updated based on road conditions. At the same time, it also carried out research and promotion of interconnected and automatic car public trust, network security, 5G test environment, high-precision 3D graphics and update technologies, and joint research institutes in the UK, with Changan Automobile, Chongqing Survey and Survey Institute, etc. The domestic counterparts are planning to set up the China-UK Smart Mobile Research Institute to provide technical, management and regulatory support for the future realization of the “affordable and affordable” unmanned vehicles. (Reporter Zheng Huanbin)
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