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L3 Autonomous Driving Road and Virtual Test

日期: 2019-08-28
浏览次数: 10

Shanghai, China, June 27, 2019 - In “ The 2nd Annual China Automated Driving Test Validation Technology Innovation Conference “ , Professor Wang Jian from the School of Computer Science of Jilin University, participated this conference and delivered a keynote speech.

 

L3 Autonomous Driving Road and Virtual Test

 

In the conference, Mr. Wang Jian first explained the autopilot scene from the definition, composition and key features of the scene. The scene research is the key technology of intelligent driving technology and product development. The scene library is an important part of the whole test. The input in the entire test session gives us the evaluation in the test and judges a position of the scene. The driving environment is infinitely rich, extremely complex, unpredictable and inexhaustible. The composition of the scene is to divide the complex driving environment into two major parts: static features and dynamic features. Static features include road sites, traffic and facilities, and dynamic features include Traffic, weather, etc. The static features are extracted, and the virtual algorithm is used to generate dynamic features. The combination of the two is the basic composition of the scene.

 

A scene is a finite mapping of an infinite world, whether it is a static feature or a finite mapping of dynamic features, and then a measure of coverage, coverage of dangerous scenes, and accuracy of testing. These two are the two results that are reasoned out by the automatic generation. The generation of the scene library is to cover the infinitely rich and extremely complex driving environment through limited mapping, and finally generate the scene library. The specific steps are as follows: firstly, a record of the driving environment is mapped to the network, and by learning the real scene features, a new scene is derived, and the scene library indicators that need to be stored are extracted, and finally abstracted into a driving situation. And driving occasions.

 

 

L3 Autonomous Driving Road and Virtual Test

 

 

Finally, Mr. Wang Jian showed the guests how to combine the laboratory simulation scenario construction and the scene library with the test tools. Through the practice test cases and test data, the guests showed the L3's autopilot test in detail, which gave great inspiration to the car manufacturers and laid the foundation for the early realization of autonomous driving.

 

Personal profile of the guest speaker: Wang Jian, professor of computer science at Jilin University, doctoral tutor, special senior expert of China Automotive Engineering Research Institute, and senior expert of Qiming Information Technology Co., Ltd. He has worked as a doctoral student, postdoctoral fellow, and visiting scholar at the University of British Columbia in Canada, the University of Innsbruck in Austria, the National Institute of Information and Automation in France, and Hanyang University in Korea. The main research areas are communication protocols, MEC applications, simulation and testing of intelligent networked vehicles. He is currently the Secretary-General of the International Parallel Driving Alliance, the Standing Committee Member of the Parallel Intelligent Professional Committee of the China Society of Automation, the Communication Committee of the China Intelligent Transportation Industry Alliance, the Member of the China Auto-E Alliance, and the Youth Committee of the Knowledge Engineering and Distribution Intelligence Committee of the China Artificial Intelligence Society. Member of the editorial board of Vehicular Telematics and Infotainment Systems, former co-chair of the 29th IEEE Intelligent Vehicles Symposium Publishing Committee, IEEE VTC, CV2N, VTHWN, SAE 2017 ICVS, IWCMC 2017 and other international conference technical committee members. In recent years, as the project leader, he has undertaken the National Natural Science Foundation of China, youth projects, international cooperation and exchange, special fund for China Postdoctoral Fund, Doctoral Fund of the Ministry of Education, Jilin Province Development Plan Key Project, Jilin Province International Cooperation Project, Jilin More than 10 vertical projects such as the Provincial Youth Fund, 1 second prize for national education achievement in higher education, 1 first prize for Jilin Science and Technology Progress Award, 1 first prize for teaching achievements in Jilin Province, China National Commercial Federation The second prize of the Business Technology Progress Award was 2 times. The first responsible author published 42 papers in the International SCI Search Journals such as IEEE Transaction on ITS, IEEE Transaction on IV, Scientific Reports, Computer Networks, Computer Communications, and authorized 7 invention patents. There are 4 software copyrights, and one monograph in Chinese and English.

 

Organizer: Shanghai Locka Automotive Technology Co., Ltd. is a technical consulting company engaged in the development of technology in the field of automotive technology, technology transfer, technical consulting exhibition services, conference services and other business development. The company provides industry information, business innovation development solutions, market research, business cooperation and network development platforms, personal career development, investment and financing consulting services to senior decision-makers at leading domestic and foreign companies (mainly Fortune 500 companies).

 

'China Automated Driving Test and Verification Technology Innovation Forum 2019 (CADT2019)'


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