Presentation Topic: " Driverless Autonomous Vehicle Closed Track- Testing and Validation Technology Development"

Speaker: Shengxiang Liu, Autonomous Driving Senior Technical Manager, Baidu 

Mr. Shengxiang Liu is currently the senior technical manager of Baidu's autonomous driving. He is in charge of autonomous driving testing, a member of the Beijing Autonomous Vehicle Road Testing Expert Committee, and a member of the Expert Advisory Committee of China Automotive Quality Technology Alliance. With more than 10 years of experience in the testing industry, Mr. Liu has established the Baidu autonomous driving test team, and also established a "Vertically layered, horizontally divided in stages" test system for autonomous driving based on the principle of "safety first", becoming the first complete and large-scale application and practice of automated driving test systems in the industry, including model-in-the-loop (MIL), software-in-the-loop (SIL), hardware-in-the-loop (HIL), vehicle-in-the-loop (VIL), and road environment-in-the-loop (RIL) testing system

Presentation Topic:" Scenario Based Autonomous Driving Function Testing in Multi-HiL Environment"  

For the system verification of modern autonomous driving features and autonomous driving assistance systems, currently dedicated secure test environments on road or additional complex environment simulation tools in the laboratory are needed for real time testing in the vehicle. This paper presents a new approach for AD\ADAS feature verification in a semi-virtual test laboratory environment based on real world driving scenarios. This approach, using a Virtual Test-Bed, allows an early verification of AD\ADAS features in a safe laboratory environment combined with real components or a whole vehicle by using existing testing facilities with a hardware-in-the loop system. The emulation of scenarios based on real vehicle measurement data allows in automatized way during the development an early verification of the system as well as an efficient re-calibration of existing variants based on real world scenarios.

 

Speaker: Xin GE, Hybrid System & Simulation Engineer, AVL
 
 

Presentation Topic: "Analysis of Autonomous Driving Test Policies and Regulations
"
Autonomous driving road testing is an indispensable part of the development of the autonomous driving industry. Since 2018, local autonomous driving road test rules have been issued one after another. Some cities have even opened up more scenarios such as manned and loaded testing. These road tests While encouraging technological innovation, the rules also regulate autonomous driving road testing activities. This report provides an in-depth analysis of the policies and regulations of autonomous driving testing around the system and logic of autonomous driving road testing, specific regulations and policy requirements, and analysis of test vehicle traffic accidents.

Speaker:  He Shanshan is currently the Director of the Autonomous Driving Law Center of Intelligent Connected Vehicle Research Institute; the Head of the automobile and artificial intelligence business of Beijing Anli Partners; a member of the Autonomous Driving Law and Policy Expert Committee of the Ministry of Transport, and a member of the Beijing Autonomous Driving Expert Committee. 

Presentation Topic:" V2X Test Technology Solution”

V2X is an important technical component of intelligent networked vehicles, which can realize low latency, large bandwidth, and highly reliable information sharing of vehicles, vehicles, roads, and vehicles. This report focuses on the testing requirements of V2X technology, testing technology, testing software and hardware solutions, and the introduction of the test scenario library from the shallower to the deeper. The content covers the automated test tools, the generation and management of test scenarios, and large-scale testing.

Speaker: Wang Jian, professor of the School of Computer Science of Jilin University

 

Presentation Topic: ""Scenarios and simulation standards help the application of autonomous driving"

Speaker: Zhao Shuai，Director of Intelligent Network Data Department of China Automotive Data Co., Ltd. Expert in international coordination of automobile standards and regulations, support expert of ISO Autonomous Driving Test Scenario Working Group, member of C-ASAM Steering Committee Management Committee, member of Intelligent Driving Subcommittee of Society of Artificial Intelligence. Mainly engaged in smart car driving scene data research and simulation technology research. In 2019, the China Automobile Center and the German Automation and Measurement System Standards Association (ASAM) will be promoted to jointly form the C-ASAM organization to undertake the formulation and revision of ASAM standards, and to carry out the localized application of international standards for autonomous driving simulation and simulation such as OpenScenario in China.

Presentation Topic:"Autonomous driving test technology based on Scenario library

Compared with traditional automobile testing,
utonomous vehicle testing has great changes in
test evaluation content, test evaluation conditions,
and test evaluation tool chain. Large-scale and
diversified traffic scenario will become the core
element of the automated driving test process,
and the automated driving scenario library is
based on the massive collection of original
scenario data, including scenario extraction/processing, 
scenario classification/statistics, batch testing A complete evaluation system with multiple technical steps such as use case generation, key scenario search, digital twins, and multi-directional evaluation of test results. This report will focus on the autonomous driving scenario library and discuss some key technical steps in its construction process.

Speaker: Liao Zeguang, Project Manager of Scenario Test Group of Intelligent Networking Center, Suzhou Automotive Research Institute, Tsinghua University