From technology to products: Where will the commercialization of intelligent driving go? 25+ experts will talk to you

Following the Silicon Valley Summit in January and the CCF GAIR smart driving special in July this year, Leiphone.com's New Intelligent Driving has once again put in all its efforts and used different ways to do "big things".

From October 26 to October 27, 2018, the 2018 Global Intelligent Driving Summit will be held in Suzhou Xiangcheng, hosted by Suzhou High-speed Railway New City Management Committee, organized by Leiphone.com & New Intelligent Driving, Shuyu, and co-organized by Shanghai Transportation Engineering Society.

If you have participated in any of our networking events, whether it was a small exchange meeting under the New Intelligent Driving Member Line or a private seminar at several large summits, you will probably have a different impression: down-to-earth real bosses, mysterious launch of heavyweight global new products, direct communication and Q&A without commercial boasting, and a small vertical circle with manual review and approval...

2018 CCF-GAIR Intelligent Driving Forum

Velodyne Closed Door Meeting

2018 CCF-GAIR Silicon Valley Intelligent Driving Summit Offline Exchange

As usual, let's continue with something tough this time.

From concept, technology, product, implementation to commercial success, every step of autonomous driving is full of twists and turns, especially from technology to product. At the 2018 Global Intelligent Driving Summit, representatives from first-tier automakers, top suppliers, star technology companies, university professors and other representatives gathered in Suzhou to focus on discussing the pain points of this industry: the development of intelligent driving industry technology, new market opportunities and product innovation applications.

At present, the 2018 Global Intelligent Driving Summit has entered the countdown

The list of speakers is released

The confirmed speakers are as follows:

October 26

Topic 1: How to build a smart car

Zhu Xichan

Director of the Institute of Automotive Safety Technology, School of Automotive Engineering, Tongji University. He has a solid foundation and industry reputation in the fields of automotive collision safety research, traffic accident analysis and identification, and automotive reliability technology research based on actual user load spectra.

Shu Youxing

He is the president of BYD Automotive Smart Ecosystem Research Institute. He was formerly the president of BYD Electronic Research Institute and the general manager of the Eighth Business Unit, which focuses on the R&D, design and production of computer product ODM.

Zhang Licun

Senior Manager of Vehicle Software and Electronics R&D at Volvo Cars China, Head of Autonomous Driving Technology, and fully responsible for the development of Volvo Cars' passive safety, active safety and autonomous driving technologies.

Guo Jishun

PhD in Artificial Intelligence and Robotics, Head of Intelligent Driving Technology Department of GAC Research Institute, and Director of L3/L4 Autonomous Driving Technology of GAC.

Topic 2: Application of key technologies for intelligent driving

Xue Qi

Xue Qi is currently the chief engineer of core components of Aptiv's active safety and user experience department in Asia Pacific, and head of Aptiv's technical committee and innovation strategy.

Liu Wanqian

Founder and CEO of PlusAI, PhD in Electrical Engineering from Stanford University, selected as a national expert in the “Thousand Talents Plan” of the Organization Department of the CPC Central Committee.

Guo Jian

Chairman of Anzhi Auto, he studied under Professor Guan Xin, a distinguished professor of the Ministry of Education's Yangtze River Scholars Program and the dean of Jilin University's Automotive Research Institute.

Wang Xuekun

The founder and CTO of Ji'ao Technology is a professional in the field of geographic information. He started developing electronic navigation maps in 2005 and has witnessed the iteration and upgrade of digital maps in his more than ten years of work.

Yu Zhenghua

CEO of Magic Vision Intelligence, formerly Vice President of Bokang Intelligence, Senior Researcher at the National Institute of Information and Communications Technology of Australia (NICTA), and Doctoral Supervisor at the University of New South Wales.

Xia Yan

Momenta partner/R&D director/Suzhou general manager, senior expert in deep learning and big data, with nearly 10 years of R&D and management experience in image search, text detection and recognition, etc.

Wu Gansha

Founder and CEO of UISEE Technology. Before starting his own business, he was the director of Intel China Research Institute and chief engineer of Intel. He led Intel's long-term strategic planning for big data technology and established three major directions for the China Research Institute: 5G communications, intelligent computing, and robotics.

Lou Tiancheng

The founder and CTO of Pony.ai, a Ph.D. in computer science from Tsinghua University and a favorite student of Turing Award winner Yao Qizhi, "Master Lou" won the Google Global Programming Challenge championship for two consecutive years.

Roundtable Forum

Smart transportation and smart driving: How to build a smart travel network?

Bao Lixia

Director of the ITS Center of Shanghai Urban Construction Design and Research Institute (Group) Co., Ltd., Director of the Intelligent Transportation Professional Committee of Shanghai Transportation Engineering Society, and expert in intelligent transportation planning and design.

Chen Long

CEO of Qingdao Huituo Intelligent Machinery Co., Ltd., head of the unmanned driving team of Sun Yat-sen University, with more than 10 years of R&D experience in the fields of unmanned driving, robotics, and artificial intelligence.

Zhang Ying

Director of Great Wall Motors Technology Center, responsible for the research and development of Great Wall Motors' V2X technology products. Currently, he is the project director of the "Demonstration of Intelligent Vehicles and Smart Transportation Applications Based on Broadband Mobile Internet" project in cooperation between Great Wall Motors and the Ministry of Industry and Information Technology, responsible for the demonstration application of the "National Intelligent Vehicle and Smart Transportation (Beijing-Hebei) Demonstration Zone".

Hu Jinling

Deputy Chief Engineer of Datang Telecom Wireless Mobile Innovation Center.

October 27

Topic 2: Building key core technology applications for intelligent driving

He Yan

Head of Intelligent Vehicle Research Laboratory and Automobile Software Evaluation Center, Information Institute, China Automotive Technology and Research Center Co., Ltd., and director of intelligent vehicle theoretical research.

He Tao

Founder and CEO of KuWa, holds a master's and doctoral degree in mechanical and space engineering from Tokyo Institute of Technology in Japan; and has worked at the top robotics laboratory Hirose-Fukushima Lab.

Shen Junqiang

Dr. Shen, CTO of Furuitech, is a veteran in China's ADAS and autonomous driving fields. He has done a lot of pioneering work in the introduction, promotion and market development of ADAS technology in China.

Wang Jiajia

Senior Manager of Autonomous Driving Systems and Driver Assistance Systems at Bosch Automotive Components (Suzhou), he is a pioneer in autonomous driving at Bosch China. In 2014, he led the development of China's first mass-produced ADAS project.

Topic 3: Key Applications of Intelligent Driving Sensors

Gu Jianmin

As CTO of Valeo China, he has worked for American Mechanical Dynamics, Ford Motor Company and Changan Automobile Co., Ltd., and has been engaged in technical research and development and management in the fields of vehicle performance, chassis and computer-aided engineering for a long time.

Omar Keilaf

Innoviz founder and CEO, Omer Keilaf has deep attainments in the fields of electronic optics and MEMS. After graduating from Tel Aviv University, he has been developing military technology for the Israeli army.

Wu Zheng

As the general manager of chip R&D at Horizon (Shanghai), he has extensive experience in chip design, mass production and management. He has led the chip design and solution development team to successfully develop more than 20 chip products with sales of millions of units.

Louay Eldada

Quanergy founder and CEO, Dr. Eldada is a technology leader with more than 70 patents and is a recognized expert in quantum optics, nanotechnology, photonic integrated circuits, sensors and robotics.

Radhika Arora

As the head of autonomous driving at ON Semiconductor, she has promoted the autonomous driving route with a focus on image sensors. Under her leadership, ON Semiconductor has made a profound impact with key designs that are popular with Tier 1s.

Bao Zeyu

Senior engineer of Hamamatsu China, and product technology leader of Hamamatsu LiDAR project. From basics to applications, he has extensive experience in reference scenarios based on the company's devices, and has supported many LiDAR companies from product path selection to product device selection.

In short, front-line engineers from the field of intelligent driving, R&D backbones, and senior industry professionals with deep insights into technology, applications, and business will gather in Suzhou. This is a grand event in which car companies, parts suppliers, and technology companies will all participate.

In addition to the technical feast full of practical information, we also have the following activities:

1. Closed-door seminar on the construction of intelligent driving application demonstration scenarios

From 2:00 to 5:00 p.m. on October 25, the Hundred People Forum, Leiphone.com & New Intelligent Driving and Suzhou High-speed Railway New City jointly held a "Closed-door Seminar on the Construction of Demonstration Scenarios for Intelligent Driving Applications".

In addition to the need for closed testing and open road testing, smart driving cars also have a strong demand for practical application in social scenarios, interaction with users and feedback. Non-passenger car-type smart driving products, such as unmanned sweepers and unmanned logistics vehicles, also need application demonstrations and feedback in social scenarios. How to plan and build "application demonstration scenarios" can meet the actual use needs of enterprises and solve the core issues that government management departments are concerned about.

The seminar included four major themes:

Theme 1: Management of smart driving products in the “application demonstration area” (including non-passenger vehicles with special functions)

Theme 2: Safety evaluation methods/means of intelligent driving products in the "application demonstration area"

Theme 3: Design and operation of intelligent driving application demonstration scenarios

Topic 4: What other common issues do the participating governments, enterprises and universities hope to be addressed through the 100-person forum?

We hope to invite domestic and foreign heavyweight guests of intelligent driving to participate in the summit and discuss topics. Through topic discussions, we can provide enterprise-side needs for planning and designing "application demonstration scenarios".

2. Establish the Yangtze River Delta Autonomous Driving Industry Alliance

At the opening ceremony of the summit on October 26, the organizers Suzhou High-speed Railway New City and Leiphone.com will jointly launch the "Yangtze River Delta Autonomous Driving Industry Alliance", whose members include enterprises, university laboratories and research institutions.

What will the Yangtze River Delta Autonomous Driving Industry Alliance do? Let Leifeng.com give you some spoilers first:

1. Industry research and consulting: Conduct industry policy research in the field of intelligent driving, provide suggestions and basis for the government and relevant departments that are conducive to the development of the industry, be entrusted to undertake the research and planning of the Yangtze River Delta intelligent driving industry, and assist and organize members of the Federation to apply for major projects in the field of intelligent driving;

2. Conferences, seminars and exhibitions: To promote industry exchanges and market expansion, organize seminars, exchanges and exhibitions in the field of intelligent driving;

3. Promote cooperation among government, industry, academia, research, finance and application: Promote cooperation between upstream and downstream of the internal industry chain of the Federation through various means such as technology, market, capital and talents, and maintain the evolution and improvement of the intelligent driving industry ecosystem;

4. Incubation of intelligent driving innovation projects: Establish a special fund for intelligent driving to incubate and invest in selected start-up projects in the field of intelligent driving and provide professional guidance;

Autonomous driving experience

*External test route A, external test route B

This year, Leiphone.com's New Intelligent Driving has also prepared a brand new program on site, allowing participants to get up close and personal with autonomous driving.

The first is to test ride in an autonomous driving car: the autonomous driving system uses technologies and facilities such as lidar, millimeter-wave radar, ultrasonic radar, camera, GPS positioning, base stations, real-time map navigation, etc. The conference will demonstrate a number of autonomous driving functions such as lane keeping, automatic positioning, autonomous driving, automatic braking, pedestrian and obstacle recognition, etc.

*The picture shows the Demonstration of Magic Vision Intelligent Automatic Parking

The second is the demonstration of the black technology of automatic parking: automatic parking uses on-board sensors and computers to automatically identify available parking spaces and automatically complete parking.

The third is the demonstration of unmanned delivery vehicles: after the goods are loaded at the distribution station, the unmanned delivery vehicle will plan its own route according to the destination, and finally notify the user to receive the goods through mobile phone apps, mobile phone text messages, etc. Users can pick up their packages through face recognition or the one-click unpacking function of their mobile phones.

*The picture shows the Kuwa self-driving sweeper

Fourth, get up close and personal with the world's first autonomous sweeper with all-road cleaning and intelligent path planning capabilities: demonstrate autonomous completion of intelligent path planning, all-road cleaning and other operational tasks, as well as actual road cleaning results.

*The picture shows the AEB function demonstration of ANZ Auto

The fifth is the demonstration and experience of AEB functions. The AEB system uses radar to measure the distance to the vehicle in front or obstacles, and then uses the data analysis module to compare the measured distance with the warning distance and the safety distance. When it is less than the warning distance, an alarm will be given. When it is less than the safety distance, even if the driver does not have time to step on the brake pedal, the AEB system will start and the car will brake automatically, thus ensuring safe travel.

Through the above activities, Leiphone.com New Intelligent Driving hopes to enable audiences and participants who are interested in the intelligent driving industry to satisfy their curiosity while gaining innovative inspiration and broadening their horizons.

How to participate in the 2018 Global Intelligent Driving Summit?

In summary, the two-day Global Intelligent Driving Summit will include: a roundtable forum, 3 plenary reports, 25+ keynote speeches and 1,000 attendees.

Time: 2018.10.26 (Friday) - 10.27 (Saturday)

Location: Suzhou Xiangcheng District High-speed Railway New City E-sports Hall

Size: 1,000 people

Ticket & registration link: https://gair.leiphone.com/gair/ad2018

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