Yu Chunjun, deputy director of the Institute of Traffic Management Science of the Ministry of Public Security, pointed out in his speech that the current road traffic safety situation in China is generally stable and progressing steadily. With the rapid development of autonomous driving and vehicle-road coordination, data security has become a new topic in road traffic management. We should continue to strengthen the research and development of self-driving safety technology, develop from multiple levels and dimensions such as strategy, tactics and operation, improve the safety management level of self-driving cars, and improve the testing and evaluation level of self-driving cars.
Chen Yuping, chief engineer of China Software Evaluation Center, shared the theme of "Intelligent Networked Automotive Information Security Threat Analysis and Penetration Practice". Aiming at the problems existing in current security threat analysis and penetration testing, he put forward some professional suggestions. He hopes that government departments, industry organizations, automobile factory suppliers and third-party organizations will give full play to their own advantages, speed up the improvement of policies, regulations and standard systems related to the safety development of intelligent networked vehicles, improve the emergency response capability of safety risks, and establish and improve supporting services.
Professor Tsinghua University Guoqiang and Nie Zaiqing, member of the management committee of Tsinghua University (Intelligent Industry Research Institute)-Baidu Apollo Intelligent Transportation Joint Research Center, gave speeches on the theme of "data-driven vehicle-road coordination". He believes that the existing automatic driving scheme is mainly based on bicycle intelligence, and it will definitely move towards vehicle-road coordination in the future, but different schemes will be derived. Data is the key to vehicle-road cooperative automatic driving and intelligent transportation. To ensure the safety and reliability of data, we should build a "bridge" between research and actual landing based on public data sets of real scenes.
Deng Zhiwei, vice president of Mushroom Car Link Information Technology Co., Ltd., said in the theme sharing of "Bicycle Intelligence+Vehicle-Road Coordination, Safety of Autopilot under Multiple Redundancy" that safety is the foundation and premise of Autopilot, and Autopilot is a systematic project. To achieve higher safety, it is necessary to meet this demand through bicycle intelligence and vehicle-road coordination. Mushroom Car Federation has realized safer and more reliable perception through the vehicle-road-cloud integrated automatic driving solution of "bicycle intelligence+vehicle-road collaboration+global collaboration of AI cloud platform", taking into account the two key factors of automatic driving safety-comprehensiveness and immediacy, and helping city-level automatic driving public travel and public services.
Liu Tong, general manager of NVIDIA China Automobile Division, said in the keynote speech of "NVIDIA's continuous innovation in software-defined vehicles" that it is a huge leap from vehicle and road safety discussed in the past to autonomous driving and road safety today. In the future, all large vehicles will have the ability to drive automatically. Artificial intelligence is the key technology to realize autonomous driving, and autonomous driving is the most difficult and biggest application scenario of artificial intelligence. NVIDIA will make the software-defined car truly move towards autonomous driving through a series of further research and development and innovative application of artificial intelligence technology, and effectively improve and guarantee the safety of autonomous driving.
Shan, CEO of Shanghai Information Security Technology Co., Ltd., delivered a speech entitled "Who stole the data of intelligent networked cars" at the forum. He said that the data link of intelligent networked vehicles covers all aspects of automobile design, production, sales, use and operation and maintenance, and the data security risks faced are diverse and multi-scenario. Data leakage in any link may have an unpredictable impact on autonomous driving, so it is necessary to strengthen the protection of data security. Yin Ji will rely on its own vehicles.
Zhang Ranmao, general manager of Unicom Wang Zhi Technology Co., Ltd. delivered a speech on "Thinking and Practice of Vehicle-Road Coordination". He believes that vehicle-road coordination is the only way for the evolution of China's autonomous driving scheme. Vehicle intelligence, road intelligence and network intelligence are the three elements of vehicle-road coordination, and ubiquitous, scene-oriented and highly available network is the foundation of reliable vehicle-road coordination. With years of experience and collaborative innovation, Wang Zhi Unicom relies on China Unicom's 5G communication network. It has created a professional, multi-network collaborative and multi-scenario integrated overall solution for many industries, providing safe and reliable products and services, and helping the safe development of autonomous driving to make new breakthroughs.
Matthias Bandemer, a partner of Ernst & Young Consulting, delivered a speech with the theme of "Management Measures for Automotive Software Upgrade Pilot". He said that in the self-driving car ecosystem, software plays a very important role, and the security of software upgrades is the most important. The software upgrade of self-driving cars needs to ensure the security of data packet source, installation process and traceability. The general security measures that have been established in the IT field must also be applied to the automobile ecosystem, which is a huge challenge.