Abstract: From June 4th to June 5th, 2019, the second "Smart Car Testing Technology Seminar" was successfully held in Anting, Shanghai. More than 200 industry experts attended this meeting to discuss smart car testing technology .

On June 4th, the second smart car testing technology seminar hosted by Digauto was grandly opened in Shanghai Anting. From Jiangsu Intelligent Connected Vehicle Innovation Center, Jilin University, Shanghai Motor Vehicle Testing and Certification Technology Research Center Co., Ltd., China Automotive Engineering Research Institute Co., Ltd., Mobileye, GeneSys, 4activeSystems, Stähle, Carhs, Kempten University of Applied Sciences, Germany Thirteen lecturers from Digauto made presentations on the latest EuroNCAP standards, international advanced test technology and tools, L3/L4 intelligent driving technology research, etc. More than 200 people focused on smart car test research Guests attended the meeting.

Opening of the seminar

The venue of this seminar is Anting Town, Shanghai, which is the central city of the automobile industry that gathers the automobile trade zone, automobile R&D zone, and automobile manufacturing zone. Deputy Director Huang Chengchao of the Foreign Economic and Trade Office of the People's Government of Anting Township delivered a speech at the conference. He mentioned that Anting Town is committed to building a world-class automobile industry center, and encourages all sectors of society to create jobs in this policy.

Mr. Zhu Xiaoming, Shanghai Motor Vehicle Testing and Certification Technology Research Center Co., Ltd. (SMVIC) delivered a speech. He summarized the current new trend of intelligent development of automobiles and emphasized the importance of smart vehicle testing technology for future travel safety. As a national-level testing agency for motor vehicle products, SMVIC will closely follow the technological changes of the automotive industry products, relying on the new testing technology research and development center, and establish the testing experiments and technology research and development capabilities of smart vehicles and key components.

Keynote report

The seminar was divided into two days. On June 4 (the first day), Dr. Bertold Huber, President of GeneSys Electronik GmbH, shared the latest Euro NCAP test regulations with the participants. In the Euro NCAP 2025 plan, driver monitoring ( Driver Monitoring), partial automatic emergency braking system (AEB), automatic emergency steering (Automatic Emergency Steering), rear collision protection (Whiplash/Rear-end Crash Protection), pedestrian/bicycle updated subsystem (Revised subsystem for pedestrian & cyclist ) When preparations have begun, the Internet of Vehicles V2X will start in 2021 and will only be implemented in 2024. Dr. Bertold Huber focused on the changes in test scenarios of ADAS functions such as AEB-VRU and AES.

The report titled by Dr. Dai Yifan is "Scene Mining Technology Based on Visual Analysis". He shared the application background, system architecture and application of visual analysis technology in scene mining in three aspects. Dr. Dai believes The test of self-driving cars has undergone essential changes compared with traditional cars, mainly reflected in the changes in test evaluation contents, test evaluation conditions, and test evaluation tool chain changes.

4active Systems in Austria is a company dedicated to dummy models and test systems for active safety of cars. The seminar invited COO Martin Fritz of 4active Systems GmbH. He introduced the active safety of vehicles in combination with prospective projects and intersection projects. The tested system and dummy, 4activeFB-small, is the only solution in the world that complies with all EuroNCAP VRU parameter standards. It can work with all relevant driving robots and can be tested on rough roads. 4activeFB-large is the best solution to meet EuroNCAP C2C parameter standard in the world.

As the fourth guest speaker, Mr. Cao Jianyong, Shanghai Motor Vehicle Testing and Certification Technology Research Center, shared the background and current status of the development of intelligent connected car standards, and introduced the intelligent connected car sub-committee, related standards and future trends. He predicts that by 2020, my country will initially establish an intelligent connected car standard system that can support driver assistance and low-level autonomous driving, and formulate more than 30 key standards for intelligent connected cars. By 2025, my country will form an intelligent connected vehicle standard system that can support high-level autonomous driving, with more than 100 items formulated.

With the widespread application of ADAS technology, functional safety such as AEB/AES and the behavior of people in the car have become a mentioned problem. Carhs is a world-renowned "knowledge" supplier in the field of automotive technology, focusing on automotive technology training courses. At this seminar, Carhs CEO Rainer Hoffmann and Mr. Zhu Yumin brought a report titled "Autonomous Driving and Human Behavior Assessment in Emergency Situations". He believes that he understands the situation of emergency braking (AEB) and evasive steering (AES). Human movement and the recognition of crisis situations in the case of autonomous driving are very important to the safety of the person in the car. In addition, to evaluate human behavior in autonomous vehicles, it is also necessary to build a comprehensive passenger safety system that evaluates new seat arrangements, understand motion sickness, and evaluate solutions.

Ding Haitao, a professor at the School of Automotive Engineering of Jilin University, mentioned in the report on the theme of “L3-level intelligent driving control algorithm and verification” that the essence of intelligent driving is to establish an “electronic driver” to replace the real driver to achieve direction and speed control. He divided the technical connotation of L3 autopilot into two categories. One is driving under expressway conditions that can handle complex traffic flow and congestion without going through the ramp; the other is that it can switch routes through the ramp independently while covering Under complicated working conditions such as urban expressways, drive along structured roads. The basic sensor configuration of the L3 intelligent driving is 1 forward millimeter wave, 4 corner radars, 1 backward millimeter wave radar plus a forward camera, and of course, forward laser radar is also installed as an extended sensor.

Reporter Pu Ziguang, Director of Intelligent Networking Test R&D Center/Test Tool Equipment of China Automotive Engineering Research Institute Co., Ltd. introduced i-VISTA i-TESTER, an integrated solution for autonomous driving road test and data collection. i-TESTER is a road test/scene database data acquisition system developed by China Automotive Research for 3 years. It covers road test experiments at level L2 and below. Mainly for LDW, LKA, BSD, ACC, FCW, AEB and other systems under the open road adaptability test and evaluation, providing a set of solutions for road test program, test implementation, report output, the system consists of real vehicles and test equipment , Vehicle equipment software, data cloud platform, is an integrated platform for scene data collection, analysis, marking, management.

Moaveye Business Development Manager Merav Ashery Bonventura brought Mobileye's latest concept of driving safety. In ADAS, Mobileye can provide solutions for any fleet, including Mobileye 6, Mobileye shield+TM and Mobileye8 connectTM. In terms of ensuring safety, in addition to the legal restrictions, Mobileye has also developed an RSS (Responsibility SensitiveSafety) responsibility-sensitive safety model, with a view to defining the "safe state" in a mathematical way. In the "safe state", no matter how other vehicles react, it is impossible for an autonomous vehicle to cause an accident.

Both self-driving cars and other driving robots have a lot of unity in the development and testing process, and usually need to undergo a transition from simulation tests to real vehicle road tests. As a future transportation, autonomous vehicles must be carried out before large-scale commercial use. Full functional safety and performance safety test verification to ensure the safety of consumers and the public. The entire development and testing process will go through five steps: software-in-the-loop (SiL), hardware-in-the-loop (HiL), vehicle-in-the-loop (ViL), closed test field testing, and open road testing. Dr. Alexander Schwarz, product development manager of Stähle GmbH, presented a report entitled "(C-)NCAP ADAS and Intelligent Connected Vehicle Simulation and Field Testing Driving Robot System" report, which explained in detail the process of XIL testing, from simulation to engine Tests, component tests, chassis dynamics tests, and finally to the vehicle test site.

On June 5th (Second day), lecturer Sebastian Keidler of the Kempten University of Applied Sciences in Germany introduced the objective evaluation of ADAS based on a three-dimensional road map. The entire evaluation process includes accurate lane line measurement, digital map storage, real driving scene measurement, The position of the vehicle on the CRO road surface map calculates the KPI for objective evaluation, and finally evaluates the behavior of ADAS and sensors.

Speaker Gao Ying, a professor at the School of Automotive Engineering of Jilin University, believes that the requirements of intelligent driving functions and system features are often difficult to express implicitly. The operation design domain of the system is usually infinite and complex. The implementation of the system requires many Subject areas, close coupling. This requires that the functions of intelligent driving not only comply with the inherited functional safety standards of traditional vehicles (ISO 26262-2018), but also with the expected functional safety standards of advanced assisted driving (ISO/PAS21448-2019). In the seminar, he analyzed and evaluated some functional safety HARAs of ADAS, and introduced how to design a fault diagnosis system based on structured relationships and develop a fault diagnosis strategy for the system state space model.

Dr. Lu Jiming, CTO of Digauto, told the participants about the safety test technology for L4 intelligent driving.

As the organizer of this smart car testing seminar, Digauto demonstrated the ADAS test solution for EuroNCAP 2020. This technical demonstration is mainly divided into two parts: 1. Euro-NCAP v301 line manual condition demonstration; 2. LSS high speed condition and front brake test (CCRb) condition demonstration.

The EURO-NACP v301 manual demonstration will be officially implemented in 2020, using the 4activeSB dummy system and GeneSys ADMA series high-precision GPS combined inertial navigation system (for vehicle positioning, heading angle, yaw angle and other high-precision body attitudes) Data recording and collection), STAHLE driving robots jointly constructed this scenario, which is very forward-looking.

4activeSB system, GeneSys ADMA series, STAHLE driving robot were also used to construct and test the LSS high-speed operating conditions, as well as the front brake test (CCRb) operating conditions. The world's top system developer equipment makes scene construction faster and more convenient, saving a lot of precious time for test deployment.

Meeting summary

The second smart car testing technology seminar initiated and sponsored by Digauto was comprehensive and in-depth. The invited speakers were senior and had strategic vision. The meeting schedule was smooth and detailed, and received more than 200 The unanimous recognition of the guests.