Galaxy 2021 China Commercial vehicle self-driving Conference came to a successful conclusion!

The 2021 China Commercial vehicle Autopilot Conference, sponsored by Galaxy Automotive, was solemnly held at Ruili Hotel in Shanghai Motor City from September 14 to 15, 2021. The meeting lasted two days, focusing on the market development trend of the commercial vehicle self-driving industry, and jointly discussed the core and key technologies from perceptual decision-making to implementation. Focus on the port mining area trunk logistics park and other terminal scene industrialization landing plan.

The meeting attracted 380,000 offline and 15000 online guests to attend the meeting. Including 45 ecological partners including East soft Ruichi, Deloitte Intelligence Control, Zhijia Technology, Dechi Weishi, Huituo Intelligence, Leader Technology, Acer Smart, Western Digital, Suiteng Juchuang, Radium Intelligence, Siemens, TUV South German Certification, and Huaxia Energy Network, first Electric Network, Electric State, My Wheel, OFweek Vico Network, Zaker, car Social and Social Network, Global Automotive Network, Automotive Research Network, SMM, time Automotive Network, 20 cooperative media, including New Materials online, Die casting Network, Zhaopin, Mechatronics, AutoR, Automobiles and Accessories, Automotive Vertical and horizontal, and Automotive lightweight online, provided all-round support and reports for this meeting.

(president of Zhou Xiaoying Global Automobile)

Ms. Zhou Xiaoying, President of the General Assembly and President of Global Automotive, made an opening speech for the conference. In the Chinese market in 2021, both economic development and market sales are far better than expected, especially when the overseas epidemic strikes back again, and the global economy is facing greater challenges, the Chinese market still outshines others. We expect China's passenger car production to reach 21.39 million in 2021, an increase of 6.93% over the same period last year, and sales are expected to be 21.56 million, an increase of 6.7% over the same period last year. There is a very serious problem, that is, the chip problem. Now the country proposed that the dual-carbon strategy will force the upgrading of the industrial structure, energy conservation and emission reduction has become the core key topic, so for the development of electrification, for smart driving, the digitization of the car itself should be the main theme of the industry.

Here, every enterprise in the ecological chain will require a rethinking and layout of the positioning of the enterprise itself, the development strategy and operation of the enterprise, and the efficiency of the organization, including investment in R & D and technology.

(Chen Qing, associate global partner of McKinsey)

Chen Qing, Associate Director of McKinsey, gave a speech entitled "opportunities, challenges and Development Trends of Commercial vehicle self-driving in various Application scenarios". Apart from the basic field of passenger cars, we divide the uses of commercial vehicles into several categories, trunk logistics, the last kilometer, relatively closed scene of commercial vehicle self-driving applications. The big difference between the commercial vehicle and the passenger car is that the passenger car handles the car intelligently, and I can control the scene I use as soon as I can drive it. However, a major feature of commercial vehicles is that in addition to bicycle intelligence, it should be combined with the large ecological environment in which commercial vehicles run.

(deputy Chief engineer, Strategy and Policy Research Center, China Automotive Technology Research Center, Li Yuke)

Li Yuke, deputy chief engineer of the Strategy and Policy Research Center of China Automotive Technology Research Center, pointed out in a speech on the current situation and trend of commercial vehicle self-driving policy that automobile management itself is a system of multi-department management. as a result of adding the content of self-driving, this management department has become more and more complex. In the past, the people in charge of cars were mainly the National Development and Reform Commission, the Ministry of Industry and Information Technology, the Ministry of Communications, the Ministry of Public Security, the Ministry of Science and Technology in charge of innovation and the Ministry of Finance and Taxation. After the integration of the vehicle network, self-driving related functions have been added, including roadside infrastructure and map intervention, and now management departments have added more and more self-driving cars, such as the Internet Information Office, the Ministry of Housing and Construction, and the Ministry of Natural Resources, so that the number of existing self-driving cars may be concerned by state departments.

(general Manager of Product Line of Li Zhongxin Shanghai Youdao Zhitu Technology Co., Ltd.)

Li Zhongxin, general manager of the product line of Shanghai Youdao Zhitu Technology Co., Ltd., stated in the "Exploration and practice of Commercial vehicle self-driving commercialization" that the commercial vehicle market is definitely not as large as passenger cars, but the trunk logistics of the commercial market has a trillion-level market. 100 billion-level markets are ports, 10 billion-level markets such as terminal logistics, closed mining areas, ports, airports, and so on. These scenes have many common characteristics, such as labor-intensive, safety requirements, environmental protection, especially where the pollution of ports and mining areas must be serious, and the national double carbon requirements have put forward requirements for them. Autopilot itself in terms of social value, autopilot itself can improve road safety, alleviate personnel shortage and reduce costs, and reduce carbon emissions.

(vice President of Zhang Xu Suzhou Zhitu Technology Co., Ltd.)

Zhang Xu, vice president of Suzhou Zhitu Technology Co., Ltd., delivered a speech on "the landing practice of intelligent driving commercial vehicle industry": first of all, the highway scene, China's logistics transport model is still dominated by roads, more than 76% of which are road transportation. in the middle of 76%, about 5.5 trillion capital is spent on road transportation every year. Now the main pain points of the road transport industry: 1. The labor cost is rising year by year. 2. The fuel consumption of vehicles is high. 3. Traffic accidents occur frequently, one of which is a popular accident. Under the highway scene, it is necessary to solve not only the vehicle itself, especially its own technical and performance problems, but also its transport equipment is very long, more than 500 kilometers a day. In this way, it is necessary to solve the extreme robustness caused by various covering scenes and weather, as well as the scenes of perception, positioning and driving.

(Dr. Wang Hao, founder of Tianjin Deco Intelligence Control Co., Ltd.)

Dr. Wang Hao, founder of Tianjin Deco Intelligence Control Co., Ltd., pointed out in the "on-line steering scheme of commercial vehicle autopilot" that line control technology plays a very important and reliable decision-making role in intelligent driving. How can the traditional parts such as throttle, brake, steering, suspension and so on meet the existing intelligent driving? This is a particularly important subject. Now when making a plan or verifying perception or decision-making, it is very difficult to find a very reliable wire-controlled chassis that is particularly easy to use. now most of the steering of commercial vehicles is focused on hydraulic steering. Hydraulic steering mainly solves the problem of steering load before. According to the development trend of commercial vehicles, with the development of intelligence and future electrification, our steering will be divided into several stages. In addition to the existing power, the next step will be to improve the direction of the hand, and secondly, in order to meet the advanced auxiliary driving, it will certainly make the steering with a certain degree of intelligence. Once again, in order to meet self-driving, this steering will certainly become a special project of on-line control, so the steering of commercial vehicles will certainly change from hydraulic steering to electronic steering and on-line steering in the future to adapt to the intelligent development of commercial vehicles.

(Liu Feilong, founder and CEO of Hangzhou Hongjing Zhijia Technology Co., Ltd.)

Liu Feilong, founder and CEO of Hangzhou Hongjing Zhijia Technology Co., Ltd., gave a speech on "L3 trunk logistics self-driving heavy truck solution". The goal of the automobile industry in the last century is mechanical engineering, mass production of engine technology, lightweight, energy saving and emission reduction. But since the beginning of this century, self-driving technology has sprung up, intelligent cockpit technology has sprung up, and cars have entered a new industry. We are now talking about all four modernizations, Internet connection, self-driving, shared travel, electrification / new energy, which is the new theme of the industry.

(senior Manager of Intelligent driving Department of Jin Dapeng BAIC Foton Automobile Co., Ltd.)

Jin Dapeng, senior manager of the Intelligent driving Department of BAIC Foton Automobile Co., Ltd., brought the sharing of "Commercial vehicle Intelligent Network Technology Development and practice". Self-driving in the automotive industry is not very late, at first in Europe and the United States and Japan, in recent years has been rapid development, which is inseparable from the legislative promotion of various countries around the world. It is hoped that the application of intelligent network connection technology can slow down or reduce the probability of accidents and the impact of accidents. For example, the state promotes the promotion of relevant laws and regulations, such as lane deviation, collision warning, driver condition monitoring, AEB lane maintenance, by preventing lane deviation and collision to reduce the probability of accidents, which is also due to the fact that machines react faster than people.

(Dr. Rong Li, General Manager of Zhijia Technology China, Senior Vice President of Group Engineering)

Dr. Rong Li, General Manager of Zhijia Technology China and Senior Vice President of Group Engineering, gave a speech entitled "Roadmap of self-driving Application in Trunk Logistics".

Heavy truck driverless, first of all, we have to start with the car that can be on the road. It may not be unmanned at the beginning, but it must be on the road at the beginning. The value of self-driving in the logistics of trunk lines, there are many racing tracks for self-driving. Even considering that they are only commercial vehicles, there are also many commercial vehicles. Light trucks are also commercial vehicles, urban accessories, and logistics vehicles. These also belong to commercial vehicles. It is also the place where capital is sought after at present.

(director of self-driving Business Line of Zhang Chunmin East soft Ruichi Automotive Technology (Shanghai) Co., Ltd.)

The sharing brought by Zhang Chunmin, director of self-driving business line of East soft Ruichi Automotive Technology (Shanghai) Co., Ltd. is "East soft Ruichi commercial vehicle self-driving solution". Autopilot is a new species in the field of automobiles. In the past, all people were driving, but now machines are driving. This is different. There is a premise for the realization of this change, and it needs to be supported by corresponding laws. At present, various countries are beginning to make legal adjustments. In the past, autopilot is not allowed on the road, but now it is gradually allowed, and state ministries are also working hard to do so. But so far, self-driving cars are not actually allowed to run on the road, but are only allowed to do small-scale tests on some sections of the road. At present, the challenges we see in self-driving commercial vehicles are:

1. The trend of globalization, although the current epidemic or trade war has some impact on globalization, we think that globalization is a general trend, which is unstoppable.

2. Autopilot takes safety as the bottom line;

3. After the domain control of the third autopilot system, the system becomes very complex, in which the complexity of development how to solve this challenge is actually a very important issue in front of us.

(Dr. Ying Ying, Product Director of Shenzhen Suiteng Juchuang Technology Co., Ltd.)

Dr. Ying Ying, product director of Shenzhen Suiteng Juchuang Technology Co., Ltd., talked about "the smart eye of commercial vehicles: the maturity and extensibility of vehicle-level lidar". What is the position of lidar in the self-driving space of commercial vehicles? Yes, lidar is actually a perceptual sensor. In the traditional sense, lidar is only a sensor for collecting information, but now when it comes to autopilot, it is not only necessary to provide simple information, but also to bring it some thinking to help autopilot. On this basis, on the one hand, lidar should cooperate with traditional cameras and millimeter wave radar, as well as positioning systems, high-precision maps, vehicles and roads to form a full-space and full-package perception system. Not only that, but also assist in the perceptual post-fusion, including the final path planning decision and the control of the actuator.

(director of Science and Technology, led by Jiang Xin)

Jiang Xin, the technical director of leading science and technology, gave a speech on "thinking about the intelligent driving path of cars used by mass manufacturers". Mass production self-driving of commercial vehicles, what we are going to talk about today is mainly to cover trunk logistics scenarios, based on trunk logistics scenarios related technologies or products can also be used in mining areas, park logistics or wharf scenarios. In fact, the commercial value and importance of self-driving is no less than that of passenger cars. At present, passenger cars walk faster in the field of self-driving, but the real landing time of commercial vehicles L3 and L4 is not necessarily later than passenger cars, and now many companies have joined the ranks, so commercial vehicle self-driving is very promising.

(senior Product Manager, Western Digital)

E Rite, Senior Product Manager of Western Digital, brought us a speech entitled "Storage Innovation helps Advanced Autopilot Landing". What kind of preparation do you need to make in order to achieve autopilot? Now the automotive electronic architecture is transitioning from distributed in-place to domain fusion and overall central control unit. The original requirement of a single distributed architecture is that there will be a more prominent requirement after the integration of nor Flash,. Here are four main elements:

The first is the reliability and security of the data. Compared with consumer and enterprise, the automobile environment is worse, for example, there are many tests of high temperature, high humidity and extremely cold environment, which require higher reliability testing. Recently, there are also a lot of national laws, regulations and policies on the safety of car data collection.

Second, the application scenario will become more and more complex. Previously, a single ECU, is now in a state of integration, and a SOC will support many systems.

The third is faster response speed, whether lidar or camera, will generate a large amount of data every day, how to save this large amount of data to the car department without distortion, so as to facilitate the application of machine learning in the future;

The fourth is a large capacity, everyone for the camera, radar data collection is quite large, and many companies require the original data. We now have cooperative commercial vehicles. For example, Robotaxi,Robotrucks collects about 4G bikes per day. At present, only NAND Flash can support such big data storage.

(Xue Lingyang, Technical Director and Deputy Director of Intelligent Service Research Institute, Automotive Engineering Research Institute, Shaanxi heavy truck Co., Ltd.)

The speech delivered by Xue Lingyang, Technical Director of the Automotive Engineering Research Institute of Shaanxi heavy truck Co., Ltd., the Technical Director of the Automotive Engineering Research Institute and the Deputy Director of the Intelligent Service Research Institute, is "Shaanxi Auto self-driving overall solution". L2, L3 levels are mainly X6000 models, L2 users operate mileage of more than 1 million kilometers, in fact, this is very few. The L3 model has been delivered in small quantities this year, and the L4 mainly consists of three scenarios: the port scene has three models, offset wharf tractors, AGV and port tractors. The application of L4 self-driving dump truck has been completed in the mining car, and then there is a large sanitation vehicle, which is mainly oriented to the main road cleaning and sprinkling sanitation truck, and a complete set of sanitation vehicle solution is developed based on the L6000 pure electric 42 model. The field of heavy trucks is still different from that of commercial vehicles. The biggest market of heavy trucks should also be in logistics, and what needs to be solved now is high-speed self-driving and queue driving scenarios. The next step should be to realize warehouse-to-warehouse freight, and finally hope to realize the automation of transportation scenes on all public roads. In the enclosed area, based on our models, there are mainly three scenarios: park cleaning, park logistics, mineral transportation and port tractors.

(Dr. Wang Jian, CSO, Chief Strategy Officer of Huituo Intelligence)

Dr. Wang Jian, CSO, chief strategy officer of Huituo Intelligence, gave a speech on "full-stack self-driving solution based on mining trucks". Recently, various policies, financing and racing tracks are very concerned about mines, and it is also due to the rapid progress of mines in the world. Domestic self-driving mines, especially non-ferrous and coal mines, are promoting intelligent and underground intelligent working faces in self-driving open-pit mines in accordance with the requirements of eight state ministries and commissions. Domestic coal, non-ferrous, sand and gravel cement and other industries actively from pilot to batch application development, now several mainstream mine track driverless companies are more similar, using digital twin technology. At the top of the traditional scheduling platform, below is the self-driving system, the top is the scheduling management system, including five major functions: 1, allocation of production, according to the global map and work surface to calculate the trajectory. 2. Sensor diagnosis. 3. Traffic rules. 4. Software-defined driver data analysis, such as different driving modes in rainy and sunny days, is where automatic tuning is done. 5. map collection, because the mine map may change every week, so it is often refreshed.

(Dr. Li Yang, Chief of Intelligent Technology Development Section, Technology Center of Dongfeng Commercial vehicle Co., Ltd.)

The theme shared by Dr. Li Yang, Chief of Intelligent Technology Development Section of the Technology Center of Dongfeng Commercial vehicle Co., Ltd., is "trend Analysis and Product response of Intelligent driving Commercial vehicle Industry". Dongfeng commercial vehicle is currently divided into two large scene types, with and without drivers. There are drivers for trunk logistics and national highway logistics vehicles, the early focus on the existing commercial vehicles is the function of L0 and L1. In view of the short-term response of high-speed trunk logistics to customer demand, we cooperate with Yingchu to achieve the development of L3 products in December 2021, and now the vehicles are in the state of PP, and a large number of performance tests have been carried out on the testable sections of closed roads and open roads, which are now running in an orderly manner. L3 development is expected to be implemented on the 760 platform in December. In the trunk logistics scenario, in order to meet customer requirements, we jointly develop L3 self-driving trunk logistics vehicles with win Chu. Because the subsequent intelligence will do a lot of configuration development, Dongfeng commercial vehicles are also doing autopilot system development. at present, they are developing their own L3 autopilot system on the same platform as the Yingchu project. They plan to run commercial tests on the highway in 2022. This is definitely in accordance with the relevant requirements newly released by the three ministries and commissions, and plans to implement SOP, in July 2023, which is also for the consideration of the follow-up platform. Because we have different vehicle platforms in the future, the next generation platform will be developed after 2024.

(deputy General Manager of Zhang Quan Shenzhen Dechi Weishi Technology Co., Ltd.)

Zhang Quan, Deputy General Manager of Shenzhen Dechi Weishi Technology Co., Ltd. delivered a keynote speech on "gradual Development path of Intelligent driving system for Commercial vehicles". In the above capability layout, the feature is that it is very restrained in the algorithm layout for the relevant autopilot, including periphery perception, forward L2, and warehouse perception. Starting from the look around, it is mainly based on the fusion of fisheye and short-range perception. At the same time, due to the current scale expansion, forces are made in the direction of standard forward perception and fusion perception, and there is a controlled delivery capability based on parking in passenger cars. In the commercial vehicle forward automatic lane change function began to layout some planning capabilities. At the same time, the resources saved by algorithmic restraint gather full stack capabilities in AUTOSAR,CP, bottom software and production line calibration, in order to avoid customers from dealing with more suppliers, especially complex mass delivery cases, in the hope that they can replace customers with an assembly link in the design assembly. At the same time, relying on the full stack penetration capability, we can gather enough industry partner resources to give customers a complete delivery, which is the positioning and goal.

(Luo Jiaxin Radium God Intelligent vehicle Product Manager)

Luo Jiaxin, Intelligent vehicle Product Manager of Radix God, gave a speech on "the pre-installation application of vehicle regulation lidar in the commercial vehicle market." What kind of lidar do commercial vehicles need? Commercial vehicles are defined as two types of customers, and the technological development routes of different commercial vehicle customers are different. The first category is the commercial vehicle mainframe factory; the second category is the commercial vehicle operator. The main engine factory is similar to FAW, FAW, BAIC Foton, Shaanxi Automobile and other commercial vehicle mainframe factories, their vehicle sales are mainly for end customers (C-end), commercial vehicle operators are similar to trunk logistics, mining areas and other closed park applications. The technological development paths of different types of customers will also be different. The development route of driverless commercial vehicle technology still needs to continuously improve its perception ability, improve the safety and redundancy of the whole system, it needs to be more suitable for the complex road conditions in China, we can see that many landing scenes start from the trunk line logistics. Like peak complex traffic conditions, temporary construction sections, sudden falling objects ahead, including better ODD (emergency) adaptability, and sensor failure in severe weather, L4 autopilot needs higher performance to improve redundancy and perceptual performance.

(Dr. Des O'Regan Asia Pacific Engineering Director of ZF Commercial vehicle Systems, Global Director of technological Innovation Product Invention)

(product Engineering Manager, Control system Division of Wang Baiquan Zaifu Commercial vehicle)

Dr. Des O'Regan, Asia Pacific Engineering Director of ZF Commercial vehicle Systems and Global Director of technological Innovation Product Invention, and Wang Baiquan, Product Engineering Manager of ZF Commercial vehicle Control Systems, delivered a speech on "the Application of ADAS and AD in Commercial vehicles". Compared with passenger cars, commercial trucks are 75% wider, 5 times longer, 20 times heavier and 65% longer than passenger cars. This is a great industry and is full of more opportunities. With the increase of global population and e-commerce and the enhancement of awareness of the sustainability of the planet, future mobile travel, including the flow of people and future traffic, the flow of goods, and so on, will be one of the biggest global challenges facing mankind. According to some different application scenarios and market requirements, ADAS and AD also need different solutions. At present, intelligent driving assistance functions and the so-called L2 and L2 + systems will have great potential in the field of passenger cars, while the fully automatic system or self-driving system high-level L4 or even L5 may first be established in commercial vehicles and passenger transport. Self-driving for commercial vehicles, for L2murL4, and even to the L5 stack of the corresponding solution, there is a brain, there are actuators, cerebellar control of the vehicle we call the intelligent chassis, we can provide a completely open and standardized communication interface and braking platform.

(deputy General Manager of Visual vehicle Business Group of Chen Feng Hongrou Technology Co., Ltd.)

Chen Feng, Deputy General Manager of Vision vehicle Business Group of Hongsoft Technology Co., Ltd., gave a speech on "Hongsoft visual perception technology to create an intelligent and safe driving experience." Visual perception is basically full-stack, from inside to outside, DMS,OMS,Authenticate, human-computer interaction, ADAS,AVM/MOD,AR navigation, HUD, in-cabin entertainment system, why is there an in-cabin entertainment system? Mainly in passenger cars, but commercial vehicles may also be developed, why? The fatigue of commercial vehicle drivers is normal, and long-term driving is part of his work. Is there any way not only to detect his fatigue, but also to reduce his fatigue and relieve his fatigue? is intelligent technology helpful in the cabin? Applicable to commercial vehicles, our algorithm is mainly in-cabin DMS and human-computer interaction, OMS, extravehicular ADAS,AVM related, in the field of commercial vehicles in addition to algorithm authorization, there are also software and hardware solutions, there are hardware products, including a camera AI Camera, this camera can only do DMS, or only do door reminders, there are also 2-4 medium-and low-end hardware solutions AI BOX, 4-way cameras can be used as AVM or combined to do other functions, including 4-8-way high-end solution AI BOX.

(director of self-driving product line of Huang Hanzhi Siemens Industrial Software (Shanghai) Co., Ltd.)

The sharing brought by Huang Hanzhi, director of self-driving product line of Siemens Industrial Software (Shanghai) Co., Ltd., is "digital twin simulation platform to accelerate the landing of self-driving technology". Digital simulation tool is a necessary tool for performance test and optimization of autopilot system software algorithm development. Digital simulation tool is a necessary tool for autopilot system test development and optimization. Autopilot technology is developing rapidly and the market capacity is very huge. What is the digital twin technology of autopilot system? If the autopilot system is divided into four parts: test scene operating conditions, environmental awareness, control decision algorithm, actuator. These four parts constitute the autopilot system, the digital twin method is to digitize and model these four, how to do this? For example, the parking condition is presented in the digital environment, as well as in the driving condition simulation environment. In addition to pure model simulation, we can also do virtual and reality-oriented hardware-in-the-loop testing of the autopilot system.

(Ren Wynn Yutong, Minister of Intelligent Transportation and Autopilot of passenger cars)

Yutong bus Intelligent Transportation and Autopilot Minister Ren Yongli gave a speech on "Yutong WitGO Smart Travel solution". At present, there are no people at the station, including automatic departure, automatic charging and automatic return, which also involves the transformation of the equipment and facilities of the whole station. It is expected that the overall solution in the future is not only to allow customers to buy a car that will run on the road, but also to go back to work automatically, maintain automatically, park automatically, and recharge automatically, including automatic fault diagnosis (alarm) for problems. in this way, the overall application cost for customers will be lower, and it will be more likely to help self-driving commercially land. Otherwise, a bike, originally a car is already very expensive, coupled with want to face L4 and L5 very expensive autopilot system, then the cost of ownership of this customer is very high. If we can help customers improve efficiency, reduce costs and improve safety and reliability through a series of other solutions, then we think that the whole commercial landing of autopilot should be faster, which is also the exploration in these directions.

(senior Manager, Greater China Transportation Services, T Ü V S Ü D)

Zhao Yingyi, Senior Manager of T Ü V S Ü D Greater China Transportation Services Department, gave a speech on "practice and Prospect of Autopilot Test Verification". At present, intelligent driving has a wide variety of products, and regulations and standards are lagging behind. at present, we see that a large number of intelligent driving vehicles belong to the stage of road testing or demonstration operation, which is away from the market deployment of mass-produced cars. the gap between the current standards and regulations and our expected state is narrowing day by day, specifically reflected in, from a standard point of view, how to make sufficient redundancy in the electronic and electrical architecture? Including sensor performance, high-precision map, after this piece is connected with the new guarantee means, how to ensure that in addition to vehicles, the application of a large number of sensors and high-precision maps as the security (SOTIF), of the entire system is followed by the official version 21343, which was only released a few days ago. This is a foundation for the development of self-driving, especially Internet-connected vehicles on the market, and the third edition is still under discussion. A large number of autopilot requirements may be added. From the perspective of regulations, products are put on the market, and if mass-production cars need to be put on the market, there must be laws and regulations, including the landing of various mandatory standards of the domestic Ministry of Industry and Information Technology, including the regulations in Europe are all necessary conditions for mass-production cars to enter the market. In the current progress, the L3-level regulations came into effect for the first time in mid-2020, namely, cyber security, software OTA and automatic lane maintenance system. These three regulations were proposed for the first time and were approved for the form of L3 self-driving vehicles, which paved the way for the harmonization and approval of later vehicle-level regulations worldwide.

(Wang Kefu, Senior Manager of Wuling Intelligent driving, SAIC GM)

The sharing brought by Wang Kefu, senior manager of SAIC GM Wuling Intelligent driving, is "the application and practice of self-driving scene in the park". In view of the driverless scene, the analysis is carried out around such a method: unmanned logistics is aimed at the logistics users in the park, and its scene is relatively simple, which can help us to deliver materials from the warehouse to the site. Its pain point is that the labor cost is relatively high, and the security is relatively low. The ultimate demand is to be able to deliver materials without many people or people, based on such pain points. Self-driving gives priority to application and promotion in logistics.

(Dr. Mo Yuanfu, professional chief of Xiamen Jinlong Intelligent Network Union)

The topic of online sharing conducted by Dr. Mo Yuanfu, the professional chief of Xiamen Jinlong Intelligent Network Union is "Xiamen Jinlong autopilot L4 bus volume plan". In the whole vehicle sensing scheme, the main hardware equipment includes lidar, vision module, millimeter wave radar, positioning equipment, autopilot computing hardware, redundant security computing hardware, security gateway and V2X. Specific functions include obstacle sensing and high-precision positioning, obstacle sensing, high-speed obstacle sensing, high-precision positioning, high-speed operation of autopilot system, high-speed operation of security system, information security and V2X communication. In terms of self-driving ability, the combination of radar, cameras and other sensors, a variety of autopilot systems, operation monitoring, highly redundant three-electricity system and powerful network security scheme make the L4 self-driving bus have unparalleled software and hardware safety performance, coupled with many safety tests in the early stage of appearance, to ensure that the bus can operate stably in sunny, rainy, haze and other weather and different road conditions.

The final round-table discussion was entitled "opportunities and challenges for the landing of commercial vehicle self-driving industrialization"

Moderator: Ren Yongli, Minister of Intelligent Transportation and Autopilot of Yutong bus

Distinguished speakers:

Liu Li, Vice President of Commerce of Zhijia Technology

Li Yang, Chief of Intelligent Technology Development Section of Technology Center of Dongfeng Commercial vehicle Co., Ltd.

CSO Wang Jian, Chief Strategy Officer of Huituo Intelligence

Li Chao, deputy director of Dongfeng Liuqi Intelligent Network connection Department.

Huang Yingjun, Vice President of Shidi Zhijia Engineering