On September 13, 2024, the “2024 fourth Commercial vehicle self-driving Conference” hosted by Geshi Automobile was successfully concluded in Shanghai, both online and offline.
In commercial transportation, with the gradual expansion of the driver gap and the high labor cost, it is becoming an urgent social problem to be solved.
The partial replacement of drivers by self-driving vehicles can not only alleviate the labor gap and reduce costs, but also improve safety and reduce the incidence of accidents in dangerous scenes.
Under this background, the fourth commercial vehicle self-driving conference in 2024 will take the commercialization and large-scale breaking path of commercial vehicle self-driving as the core, and invite the head enterprises from the technical service side and the scene end of the automobile enterprise.
this paper discusses the progress of key technologies and the development of business models, so as to provide new ideas for the development direction of the industry.
The summit will closely focus on high-level intelligent driving, commercial closed-loop, closed-scene landing practice, EMB industrialization development, data closed-loop tools and other hot issues in the industry, and invite experts from all walks of life to discuss to promote the deep integration of technological innovation and industrial practice.
At the same time, thank you for the support of 28 ecological partners, such as 01 Science and Technology, Alliance Science and Technology, famous Merchants Science and Technology, Yi Techi, famous Merchants Science and Technology, Pavales, Manbo Intelligence, Zhichi Technology, Canrui Technology, thinking Technology, Zhiyuan Electronics, Junpu Intelligence, Renxin Science and Technology, Shisheng Technology, Chengxin Zhilian, Keloda and other ecological partners.
The organizers welcome the speech that the commercial vehicle market is at a critical stage of transformation and upgrading, and the continuous integration of new energy intelligent network connection technology is leading the industry to unprecedented changes.
Gu Xiaoying, senior vice president of Galaxy Automotive, pointed out that the initial commercial success of self-driving technology in low-speed closed scenes such as ports and mines not only shows the great potential of the technology.
it provides valuable experience and inspiration for the commercialization of self-driving commercial vehicles.
Looking to the future, Gu Xiaoying said that the application prospect of advanced self-driving technology in the field of road logistics is broad, but the realization of comprehensive self-driving still needs time, data and the joint promotion of policy and market.
Gu Xiaoying, senior vice president of Gushi Automotive, technological innovation and business operation practice of smart truck driving, CPO Huang Gang, executive vice president and chief product officer of Gu Chu Technology, pointed out that Gu Xiaoying, as a leading company focusing on truck self-driving technology, has successfully achieved mass production of smart heavy trucks and made a significant breakthrough in trunk logistics scenarios.
He stressed that the company started with L3 and L2 + products and gradually moved towards L4 self-driving technology.
Through deep cooperation with industry partners, the company jointly promoted the commercialization of self-driving heavy trucks.
According to Huang Gang, Fanchu Technology not only has a strong technological research and development capability, but also has established a sound mass production system and process to ensure the competitiveness of products in the market.
At present, the intelligent heavy truck equipped with win-win smart driving system has been operated for more than 130 million kilometers, and its safety performance and economic benefits have been verified by the market.
, Huang Gang, Executive Vice President & Chief Product Officer CPO, Commercial vehicle self-driving core technology development practice and thinking, the traditional modular and structured self-driving technology architecture has been difficult to meet the future needs, the integration of AI technology will lead the technology iteration into a new stage.
Zou Libing, technical director of Foton’s intelligent driving division, said that Foton is actively exploring and implementing end-to-end self-driving solutions to achieve breakthroughs in computing power improvement and data-driven.
At the same time, Zou Libing shared the latest progress in the research and development of self-driving technology, especially the landing of self-research technology, showing Foton’s deep accumulation and innovation ability in the field of self-driving of commercial vehicles.
Zou Libing, Technical Director of Futian Intelligent driving Division, the road to high-level intelligent driving production, with the rapid development of self-driving technology, the commercial vehicle field is ushering in unprecedented opportunities for change.
CEO Huang Ze Wah, founder of 01 Automobile, pointed out that as a new force of heavy truck manufacturing, 01 Automobile is committed to building the world’s leading transportation robot company through extreme data, products and technology.
Huang Ze Wah also discussed in depth the business model challenges and future trends of the self-driving industry, emphasizing that the end-to-end system based on large language model will be the best way to achieve mass production of self-driving.
Huang Ze Wah | 01 car founder & CEO, self-driving blessing, the only self-consistent underlying logic and competitiveness of commercial vehicle development, Wang Faping, vice president of Sany Group, director of Intelligent driving Research Institute and CEO of starfish smart driving technology, pointed out that although the commercial vehicle market seems calm, there is an urgent need for technology leadership and business model innovation.
Wang Faping stressed that under the background that self-driving in the field of passenger cars has become standard, the intelligent transformation of commercial vehicles is imminent.
He further elaborated the four cornerstones of the development of commercial vehicle autopilot-light sensing, strong computing, autogenic graph and mechanism AI, and discussed the possibility of AI-enabled commercial vehicle autopilot ushering in a commercial inflection point.
, Wang Faping | Vice President of Sany Group, Dean of Intelligent driving Research Institute, CEO of Starfish Intelligent driving Technology, commercialization exploration of Chenglong self-driving commercial vehicle, Wang Shanchao, deputy director of Dongfeng Liu Automobile Technology Center, focused on the application of self-driving technology and business model innovation in different commercial vehicle scenarios, revealing practical problems such as aging truck drivers and frequent occurrence of occupational diseases.
The urgency of autopilot technology as a solution is emphasized.
Wang Shanchao elaborated on Liuqi’s self-driving practice in many scenarios, such as high-speed trunk line, low-speed unmanned distribution, commodity transportation and so on, especially its innovative sub-parent fleet driving mode.
it shows the broad application prospect of commercial vehicle self-driving technology.
In addition, he also discussed how self-driving technology can help commercial vehicles reduce costs and increase efficiency, and improve transport efficiency and safety.
Wang Shanchao | Deputy Director of Dongfeng Liu Automobile Technology Center, round table discussion: business closed loop, the way to break the situation.
After the end of the agenda of the speech in the morning, the forum entered the round table discussion section, focusing on “business closed loop.
” the way to break the profit started a wonderful discussion.
The deputy director of Dongfeng Liu Automobile Technical Center serves as the host.
Jin Jiangwei, senior expert in digital system design for Lulai Automobile, Dr.
Li Wenbo, Deputy General Manager and Director of Innovation Research Institute of Jingfang Jingdian Automotive Electronics Co., Ltd., she Shidong, Director of Intelligent products of Great Wall Automobile, Yao Yongli, display Technology expert of Intelligent cockpit Center of Geely Automobile Research Institute, and other guests revolved around “how to turn the scale of self-driving in a limited area into an industry.
Trunk logistics self-driving AI enables to break the inflection point “” how to pull the self-driving of commercial vehicles? “There was a heated discussion on such topics as “ecological needs”.
Thinking about the layout of self-driving products, technology and capabilities of commercial vehicles, as a leader in the field of commercial vehicles in China, FAW Jiefang is actively responding to the challenges and opportunities of intelligent transformation in the automotive industry with 71 years of profound accumulation and continuous innovation.
Zhao Bin, chief engineer of intelligent driving software development at FAW Liberation Commercial vehicle Development Institute, said that with the improvement of laws and regulations, the guidance of policies and the in-depth adjustment of the current situation of the industry, commercial vehicle self-driving is gradually moving from concept to reality.
FAW Jiefang is committed to becoming a first-class provider of green transportation intelligent solutions in China and the world through diversified technologies such as high-speed auxiliary driving, closed scene L4 autopilot and intelligent skateboard chassis.
Zhao Bin, Chief engineer of Intelligent driving Software Development of FAW Jiefang Commercial vehicle Development Institute, fully compliant data closed-loop tool chain enables intelligent driving volume production and landing.
Zhan Huihui, chief engineer of ETAS China, said that today, with the rapid development of self-driving technology, efficient data processing and iterative capabilities have become the key factors to promote technological progress.
In order to improve the production efficiency of self-driving software, ETAS has proposed a new solution based on its deep accumulation in the field of data closed-loop, which aims to help mainframe factories accelerate the development and verification of self-driving technology.
This solution not only covers the whole chain of data acquisition, management, tagging, training and testing, but also innovatively introduces the double closed-loop mechanism of AI driver and verification driver, which ensures the double improvement of data quality and development efficiency.
Zhan Huihui | Chief engineer of ETAS China, smart driving of commercial vehicles, remote driving solutions and smart driving products.
Ma Xinjun, chief technical officer of Mingshang Technology Co., Ltd., pointed out that with the rapid development of intelligent driving technology of commercial vehicles, the deep integration of hardware and software has become the key to promote the progress of the industry.
Famous business technology, as a pioneer in the field of commercial vehicles for 20 years, with its comprehensive ability in intelligent driving hardware and software, is committed to providing integrated solutions for commercial vehicle mainframe factories and intelligent driving companies.
Ma Xinjun stressed that in the face of the diversified needs of intelligent driving of commercial vehicles, famous companies’ technology has created an efficient and reliable intelligent driving platform for the industry through self-development of customized cameras, domain controllers and other hardware devices, combined with the data capabilities of vehicle networking.
Ma Xinjun | Chief Technical Officer of Mingshang Technology Co., Ltd., Shaanxi Auto self-driving Commercial vehicle closure scene landing practice, Shaanxi Auto Group self-driving project team solution expert Guo Jialu pointed out that Shaanxi Automobile has achieved remarkable commercial landing results in closed scenes such as ports and parks by virtue of years of intensive work in the field of self-driving technology.
Guo Jialu introduced in detail the whole process of Shaanxi Auto self-driving technology from pre-research, testing to mass production, as well as specific application cases in different scenarios.
From the efficient reverse transportation of goods at the port to the complex operating conditions of the park, Shanqi has demonstrated the diversity and reliability of its autopilot solutions.
Guo Jialu | self-driving project team solution expert of Shaanxi Automobile Group, driverless mine, Yin Zheng, director of intelligent control algorithm in Intelligent Network Development Department of Dongfeng Commercial vehicle Technology Center, pointed out that in view of the painful points such as poor working environment, high safety risk and difficult recruitment, Dongfeng commercial vehicle realized the safety and efficiency of underground transportation operation through self-developed intelligent mine card and integrated management platform.
Yin Zheng introduced in detail the key technological breakthroughs of intelligent mine cards in perception, positioning, path planning and intelligent control, and combined with the verification of the simulated test site, demonstrated the innovative achievements of Dongfeng commercial vehicles in the field of mine self-driving.
, Yin Zheng | Director of intelligent control algorithm in the Intelligent Network Development Department of Dongfeng Commercial vehicle Technology Center, expert in the development of commercial vehicle EMB industrialization, Hu Lichuang, R & D project director of Hengchuangzhihang (Zhejiang) Electronic controlled Brake system Co., Ltd., elaborated on the future development trend of EMB as a commercial vehicle braking system, emphasizing that it not only got rid of the shackles of traditional pneumatic braking.
What’s more, it has realized a qualitative leap in response speed, braking accuracy and safety.
Hu Lichuang further pointed out that after nearly seven years of painstaking research and verification, Hengchuang Zhihang has successfully developed EMB products with highly integrated and intelligent characteristics, and completed real road tests on the social road, showing excellent performance and reliability.
Hu Lichuang | R & D project director of Hengchuang Zhihang (Zhejiang) Electronic Brake system Co., Ltd. Round table discussion: commercial vehicle autopilot enters the “inflection point” moment.
After the keynote speech, the conference enters the round table discussion session.
The round-table discussion was chaired by Lai Shouwen, senior product director of Chery Group Dazhuo Intelligent Technology Co., Ltd., and had an in-depth discussion with the guests around “the moment when commercial vehicle self-driving enters the inflection point”.
Li Kai, project director of intelligent network couplet of Volvo (China) Investment Co., Ltd., Yu Yang, head of Carl Power Engineering, Zhou Wei, senior manager of Technology Intelligent driving, Zhou Jing, senior manager of Hippert Technology Intelligent driving, and other important guests participated in the discussion.
each expressed his own views, and the atmosphere of the on-site discussion was warm and extraordinary.
At this point, the agenda of the fourth Commercial vehicle self-driving Conference in 2024 has been successfully concluded.
In the future, we firmly believe that commercial vehicle self-driving technology will continue to make breakthroughs and bring profound changes to the transportation industry.
We look forward to seeing more advanced self-driving commercial vehicles shuttling between the city and the countryside in the near future.
Let’s join hands to welcome the new era of self-driving commercial vehicles and contribute to the construction of a more intelligent, green and efficient transportation system.
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