In 2009, Google's autopilot business unit just set up a project. At that time, the world's autopilot track was deserted.
In 2013, GM, Ford, Mercedes Benz, BMW and other main engine plants began to develop automatic driving technology. Smelling the breath of the future, baidu decided to split the autonomous driving R & D team from its deep learning laboratory.
This is the starting point of Baidu's automatic driving, and also the starting point of the development of automatic driving by Chinese science and technology companies.
Since 2015, many technology giants have left Baidu and made new contributions in the field of automatic driving.
Back in the second round, baidu people had occupied more than half of China's automatic driving field. (the following rankings are in no particular order)
Gu Weihao, CEO of Wumo Zhixing
Recently, Great Wall Motor's autonomous driving company, Zhixing, welcomed its CEO: Gu Weihao.
Gu Weihao joined Baidu in 2003 and was responsible for many businesses such as L3 level automatic driving, Internet of vehicles and maps.
In 2019, Baidu's automatic driving business experienced organizational restructuring, and the intelligent car business division was incorporated into the automatic driving business division. Gu Weihao left soon.
By the end of 2019, WiMAX was established as an automatic driving solution provider, with a two-line development strategy: facing the passenger car and low-speed terminal logistics market.
In the field of automatic driving of passenger cars, the relevant products of Wumo Zhixing will be launched on the new car of Great Wall in early 2021.
In the field of logistics vehicles, the unmanned logistics vehicles independently developed by Zhixing have begun to deliver orders.
In addition, the bank has recently completed a round of pre-A financing of 300 million yuan, with investors including Shougang, meituan and hillhood capital. It is reported that the company also plans to be listed on the science and technology innovation board in 2023.
Founder of China smart Bank: Wang Jin
When it comes to Baidu autopilot, it's hard to get around Wang Jin.
In 2010, Wang Jin stepped down as vice president of Google Chinese Academy of engineering and joined Baidu as vice president of technology.
In December 2015, Wang Jin founded Baidu automatic driving division and served as general manager.
Only after more than a year, Wang Jin took the initiative to leave because his personal concept did not match Baidu's.
In his view, baidu should split the automatic driving division into a separate company, and he believes that the biggest application scenario of unmanned driving should be taxi business.
In order to realize his idea, in April 2017, Wang Jin participated in the establishment of Jingchi Technology (later renamed wenyuanzhixing) in Silicon Valley, focusing on the development of driverless taxi business.
In March 2018, Wang Jin left Wenyuan Zhixing. In June of the same year, Wang Jin founded zhongzhixing.
The company is committed to building a new generation of safer driverless travel companies in China.
In addition, CIB may also play the role of operator in the future, and has accumulated relevant talents.
Horizon: Yu Kai, Huang Chang, Yu Yinan, Xu Wei
In April 2012, Yu Kai left NEC Research Institute and officially joined Baidu.
A year later, Yu Kai set up Baidu deep learning research institute and served as executive vice president, mainly studying automatic driving and other directions.
In 2015, Yu Kai left Baidu and founded horizon. Huang Chang also started a business with him.
Yu Kai, founder of horizon
Huang Chang, a former researcher at the University of Southern California and NEC American Research Institute, joined Baidu in 2012.
In 2013, Huang Chang participated in the establishment of Baidu Deep Learning Institute (IDL) as a senior scientist and chief R & D architect.
In 2015, Huang Chang resigned from Baidu as the co-founder of horizon.
After that, horizon welcomed Baidu's two generals.
In 2015, Yu Yinan, a former scientist at Baidu IDL, chose to leave to become the R & D director of horizon intelligent driving.
In July 2018, Xu Wei, an outstanding scientist of Baidu deep learning laboratory (IDL), who joined Yu Kai in the Forbes list, also announced to join horizon.
With the addition of many technology magnates, horizon's development is naturally remarkable.
In 2020, horizon will launch China's first mass-produced Chengcheng second-generation AI chip. At present, Chengcheng second-generation chip has been carried in the flagship model uni-t of Chang'an.
Xiaoma Zhixing: Peng Jun, Lou Tiancheng, Li Hengyu
At the beginning of 2017, Xiaoma Zhixing was founded in Beijing, behind which are three technology giants from Baidu: Peng Jun, Lou Tiancheng and Li Hengyu.
Peng Jun on the left and Lou Tiancheng on the right
At the end of 2011, Peng Jun finished his seven-year career in Google and came to Baidu American Research Institute as chief architect.
In 2015, Baidu's autopilot division was established, and Peng Jun served as the chief architect.
A year later, Peng Jun gave up the single digit T11 level at Baidu and left Baidu.
In April 2016, Lou Tiancheng joined Baidu American Research Institute to participate in the research and development of unmanned vehicle technology, and became the youngest T10 employee of Baidu.
In 2017, Peng Jun, who left Baidu, and Lou Tiancheng founded Xiaoma Zhixing.
After focusing on technology development and driverless driving for many years, Xiaoma Zhixing has achieved gratifying results.
On February 9, California Transportation Administration (DMV) released the data of automatic driving for the whole year of 2020, the comprehensive performance of Xiaoma Zhixing ranked the fourth in the world.
Today, pony has grown into a $6 billion self driving technology company.
Wen yuanzhixing: Han Xu, Chen Shixi
In 2014, Han Xu gave up many years of teaching work in the University of Missouri and went to Baidu American Research Institute to work as the chief scientist of Baidu's automatic driving division.
In April 2017, Han Xu joined Jingchi Technology (now known as Wenyuan Zhixing) as CTO. After Wang Jin left, Han Xu became CEO.
Han Xu, CEO of Wenyuan Zhixing
In 2017, Chen Shixi also joined Wenyuan Zhixing.
In 2013, Dr. Chen Shixi joined Baidu phoenix nest team after graduation. After the establishment of Baidu automatic driving business unit, he became one of them.
In 2017, Chen Shixi left Baidu and was recruited by former leader Wang Jin.
So far, Wenyuan Zhixing has started its continuous exploration in automatic driving with the participation of many Baidu generals.
Thanks to the long-term development of Wenyuan Zhixing in driverless taxi business, Wenyuan Zhixing obtained the first online car Hailing license in China on February 11 this year, which marks Wenyuan Zhixing becoming the first company in China to carry out online car Hailing business qualification and realize the commercialization of driverless passenger cars.
As for the application planning in 2021, Wenyuan Zhixing said that it will speed up the landing and operation of driverless minibus products, and will also drive into the core roads in the center of Guangzhou and land in more cities.
Vice president of black sesame autonomous driving technology research: Huang Yu
Huang Yu is an experienced veteran in the field of deep learning.
Before joining the automatic driving Department of Baidu's U.S. R & D center, Huang Yu successively held R & D Engineer positions in Samsung's U.S. R & D center, Huawei's U.S. R & D center, Thomson multimedia of France, Intel's U.S. headquarters and other multinational companies.
After joining Baidu, Huang bayou took the Baidu GPS senior research and development center's senior software architect, participated in the software core architecture of Baidu Apollo plan automatic driving system, and was responsible for the deep learning environment sensing multi-sensor (including cameras, GPS, IMU, millimeter wave radar and lidar) calibration, calibration and data fusion.
In 2018, Huang Yu left Baidu to become the chief scientist of singularity automotive research and innovation center in the United States, and concurrently served as the president of singularity automotive America.
However, with the increasing difficulty in mass production of singularity cars, Huang Yu joined AI chip maker heizhima intelligent technology in November last year and served as vice president of automatic driving technology research.
At present, black sesame intelligent technology has three kinds of product solutions: Huashan series chip, intelligent sensing solution and full stack sensing solution.
Among them, Huashan series chips have released huashan-1 A500 and huashan-2 a1000, covering L2-L3 driving system.
Roadstar.ai Co founders: Tong Xianqiao, measurement, Zhou Guang
From left to right, they are: Zhou Guang, Tong Xianqiao, and Zhong Jie
Among the many entrepreneurs who left Baidu to create an autonomous driving company, Tong Xianqiao, Jue and Zhou Guang had the most frustrating entrepreneurial experience.
In April 2017, Tong Xianqiao and Zhou Guang resigned from Baidu Silicon Valley unmanned vehicle project, left Baidu automatic driving project team, and jointly formed a technology company focusing on L4 automatic driving Roadstar.ai .
Previously, Tong Xianqiao worked in Apple's unmanned car project team and NVIDIA's automatic driving algorithm team; he worked in Tesla autopilot team and Google Maps Street View team.
In the new company, Tong Xianqiao is the CEO, Zhou Guang is the CTO and Zhou Guang is the chief scientist.
At that time Roadstar.ai Is a star driverless company, access to more than 1 billion financing quasi unicorn.
However, only two years after its establishment, the three sued each other for internal contradictions, Roadstar.ai It was dissolved.
However, after the separation, the three are still working in the field of automatic driving.
Roadstar.ai Early investment institutions and core team members, set up an automatic driving technology company in Shenzhen, Yuanrong Qixing, Zhou Guang as a consultant.
Tong Xianqiao started his business in the field of automatic driving, focusing on intra city logistics.
And measurement goes into the autopilot Department of a well-known company.
General manager of Chery Xiongshi: Wu Xuebin
After graduation, Wu Xuebin successively worked in many multinational automobile enterprises, such as general motors, Trina, Bosch, Ford, Chery, Foton, BAIC group, etc.
However, in the above enterprises, Wu Xuebin is mostly responsible for hardware development, and he really began to contact the field of automatic driving after entering Baidu.
In September 2016, Wu Xuebin joined Baidu as vice president in charge of the vehicles and related teams of the automatic driving division.
After two years in the field of automatic driving, Wu Xuebin joined Baoneng automobile in 2018, and then returned to Chery Automobile in 2019 as the general manager of Chery Xiongshi technology.
It is reported that Chery Xiongshi's intelligent strategy includes five business areas: Xiongshi Zhijia, Xiongshi Zhiyun, Xiongshi Zhizao, Xiongshi Zhiying and Xiongshi Zhixing, representing autonomous driving business, intelligent Internet business, intelligent manufacturing, big data operation and future mobile service.
In terms of research and development of automatic driving, Chery will become the 65th enterprise in the world to obtain California automatic driving test license in 2019.
Momenta co founder: Sun Gang
Sun Gang won the champion of Imagenet 2017 image classification and the runner up of Imagenet 2016 scene classification.
In 2016, Sun Gang, together with several other founders, founded momenta, a research and development company of automatic driving scheme, and took the post of research and development director.
The required data comes from the mass production of automatic driving product mpilot. By carrying mpilot on the vehicle, it can solve problems and create value for customers, and at the same time, it can carry out the original accumulation of mass production data.
Mpilot is combined with the released MSD, and momenta can achieve the same technical route as Tesla autopilot combined with FSD.
On a large scale, momenta believes that 2024 is a crucial year.
White rhinoceros: Zhu Lei, Xia Tian
White rhinoceros CEO Zhu Lei (right 1)
In April 2019, Zhu Lei, a former member of Baidu's automatic driving team, founded a logistics and distribution driverless company, white rhinoceros.
In early 2020, Xia Tian, a former core member of Baidu automatic driving, officially joined white rhino as CTO of white rhino.
Xia Tian graduated from the University of science and technology of China with a bachelor's degree and a doctor's degree from the Institute of computing technology, Chinese Academy of Sciences.
He joined Baidu in 2012 and began to research and apply deep learning technology since he joined Baidu. He is a founding member of Baidu deep learning laboratory (IDL).
In Xia Tian's view, the terminal real-time delivery of unmanned vehicles is the best landing scene for the current automatic driving technology to meet the market demand.
He explained that on the one hand, the market for instant delivery is large, and the demand for unmanned delivery is becoming stronger and stronger; on the other hand, due to the low speed and relatively fixed scene, the automatic driving technology can reach the landing state in the field of unmanned delivery in recent years.
At present, the white rhinoceros unmanned distribution is mainly to do take out and fresh service, and the profit model is also based on the distribution service fee.
Deepmap CEO: Wu Xiaqing
Before joining Baidu, Wu had worked at Google for six years and was one of the core engineers of Google Earth.
At the end of 2014, Wu Xiaqing joined Baidu American Research Institute as the chief architect, responsible for the development of high-precision maps for Baidu automatic driving.
In April 2016, Wu Xiaqing established deepmap in Palo Alto, Silicon Valley, focusing on the research and development of high-precision map solutions.
Deepmap gives its own answer on how to solve the complex scene problem of automatic driving.
Through centimeter level high-precision map, customized production of high-precision map, portable pre installed sensor equipment and low-cost data acquisition equipment, deepmap can achieve high accuracy of map, improve mapping efficiency, flexible deployment and timely update of map.
In the future, deepmap will focus more on the field of vehicle road collaboration, build a new R & D engine, build an overall vehicle road collaboration solution for 5g and Beidou navigation system, and plan to export vehicle road collaboration solutions overseas.
CEO of Lingjun Technology: Yang Wenli
In 2014, Yang Wenli joined Baidu and successively served as the technical director and chief architect of unmanned vehicle planning and control system in Baidu IDL (Deep Learning Institute) and Baidu automatic driving division.
In December 2016, Yang Wenli left Baidu and established an autonomous driving technology research and development company, Lingjun technology, in that month.
At the same time, leading technology has also launched its own high-performance automatic driving simulation platform, which can support multiple levels of automatic driving from L2 to L4. Users can omit or close some functional modules of the system according to their needs, thus customizing self driving driving systems with different functions.
CEO of psyc: Liu Shaoshan
In the first eight years of joining Baidu, Liu Shaoshan successively worked in Broadcom, Intel, French National Institute of computer and automation, Microsoft and Lingying.
In 2014, Liu Shaoshan joined Baidu as senior architect of Baidu US R & D center, leading distributed deep learning platform, distributed heterogeneous computing platform, driverless system, etc.
In 2016, he left Baidu to set up a technology company, psycha, which provides completely vision based slam solutions.
In his opinion, slam is the core technology of robot, and psycha can continuously improve the ability of robot through its overall scheme.
Unlike the current mainstream market, Pu Si Ying is committed to computer vision based sensor fusion technology to achieve reliable autopilot car positioning.
Liu Shaoshan said that the business focus of psyc is the overseas market. In 2020, dozens of self driving park cars and sightseeing cars will be launched in the United States, Japan and Europe, which can realize L4 level automatic driving without safety officers and drivers.
CEO of kuandeng Technology: Liu Jun
Liu Jun once served as vice president of Google China Engineering Research Institute, global engineering technology director and chief scientist of people's search.
On September 16, 2013, Liu Jun officially joined Baidu as vice president of Baidu company, responsible for the operation of Baidu strategy and Technology Committee.
In 2018, Liu Jun once again appeared in the public view and has become the CEO of kuandeng technology.
Kuandeng technology is a technology start-up company specializing in crowdsourcing high-precision maps, mainly providing bottom-level data services for the automatic driving industry.
When it comes to why only high precision maps are made, Liu Jun said that in terms of strategic choice, it is hoped that all partners in the auto driving industry chain will become partners and there is no competition.
Even so, the competition among high-precision map manufacturers is still fierce. Liu Jun said that after the preliminary development of the products, kuandeng has started to negotiate and cooperate with many car manufacturers and automatic driving solution enterprises.
Liu Jun explained that the huge amount of data can be exchanged for high precision. A large amount of data can be formed by taking multiple photos from the same angle quickly, and then a large number of data images can be processed quickly by using the image recognition processing algorithm independently developed. The amount of computation involved in this is beyond imagination.
Since 2018, public information shows that kuandeng technology has reached cooperation with GAC new energy automobile, Visteon, Hyundai Automobile and NVIDIA. In 2020, kuandeng technology will cooperate with a world-famous automobile manufacturer to provide high-precision positioning and mapping services.
CEO of Hetuo Technology: Ni Kai
Ni Kai graduated from Tsinghua University, and obtained a doctor's degree in computer science from Georgia Institute of technology. He has worked in Microsoft and Baidu.
In 2013, baidu driverless project started. As a senior scientist of Baidu deep learning research institute, Ni Kai participated in it and led the whole process of Baidu driverless project.
In March 2016, Ni Kai joined LETV as vice president of intelligent driving.
In August 2017, Ni Kai established the autonomous driving company Heduo technology.
Ni Kai once told Lei Feng: the pattern of the future era of automatic driving largely depends on who owns the data. Who has the most data and who can make his system iterate quickly, because these data are crucial to the maturity of the product.
Ni Kai also brought this idea into Heduo technology.
Hetuo technology puts forward the level 3.5 system standard: develop a quasi level 4 system, but reduce the dimension to level 3 system for use in products. They call it the Level 3.5 autopilot system, which is the core goal of R & D at the beginning of the technology development. The team believes that this is really a good product created from the perspective of users.
At the 2019 Shanghai auto show, for the first time, Hetuo technology publicly explained the technical route and product details of its mass-produced highway automatic driving solution holopilot. In terms of sensors, the holopilot system adopted a multi-sensor fusion scheme composed of camera, millimeter wave radar, low wire harness lidar, etc.
Founder of mainline Technology: Zhang Tianlei, He Bei, Li Bo
Zhang Tianlei, founder of mainline Technology
In March 2017, mainline technology focusing on L4 level automatic driving application of port container trucks was established. Founders Zhang Tianlei, Li Bo and He Bei were the founding members of Baidu unmanned vehicle project.
Zhang Tianlei, who is under the leadership of Academician Li Deyi, is Deputy Secretary General of the intelligent driving Committee of the Chinese society of artificial intelligence and expert consultant of several authoritative institutions. He once worked in Baidu's automatic driving division and participated in the research and development of Baidu's multi generation unmanned vehicles.
He Bei is a doctor in the Department of electronics, Tsinghua University. He has been engaged in the research and application of deep learning and computer vision for many years. Previously, he was the core architecture and development member of Baidu maps and smart car division.
Before joining Baidu, Li Bo worked in the EU v-charge automatic driving project and Google Street View project, and later participated in Baidu unmanned vehicle project.
Although the company's positioning was L4 in the early days of mainline technology, mainline technology strives to realize the transformation from L4 level automatic driving in limited scenarios to L3 level automatic driving in open logistics trunk lines, and finally realize the leap forward of L4 level general logistics automatic driving technology and industry.
In other words, mainline technology will be upgraded from closed scenes to expressways and finally into urban areas.
In the selection of closed scenarios, the mainline team cooperated with several ports to carry out unmanned system measurement, and finally locked in the rigid demand scenario with the strongest willingness to pay at that time - unmanned production. So mainline technology will take the lead in landing commercial vehicle automatic driving in port container truck.
Shortly after its establishment, mainline technology has established cooperative relations with heavy truck, Bosch, weibarco, Baidu, BYD and other units to design vehicle planning and mass production logistics intelligent driving products, and has reached comprehensive cooperation with Tianjin port, Pross, Lingang New City and other logistics operation enterprises.
In September 2020, mainline technology announced that it would officially cancel the safety officer in the field of port automatic driving, realizing the commercial operation of the world's first completely driverless truck.
In addition, mainline technology also continues to deliver driverless trucks in batches to obtain substantial business income.
In addition to ports, highways and freight are also potential markets for self driving commercial vehicles, as well as the next key areas of mainline technology. By 2023. The main line of science and technology will be fully improved to the urban coverage level.
Innovision founder: Bao Junwei, Li Yimin
Innovision CEO Bao Junwei (left) and CTO Li Yimin (right)
In 2014, Baidu's R & D center in the United States was expanding on a large scale. Bao Junwei left the optical measurement company he founded and worked for 16 years and joined Baidu to be responsible for developing large-scale data center hardware acceleration and high-performance network.
In 2015, Bao Junwei joined the newly established automatic driving division of Baidu and served as the director of automatic driving division of Baidu. During this period, the Bao Junwei team has done two core things: research and development of a powerful and stable on-board computing system, research and Research on various sensor technologies, and coordinate the integration of sensors into Baidu's automatic driving vehicle.
In 2016, Bao Junwei proposed the idea of using lidar as the main sensor. Seeing that there are many problems in the existing products on the market and there is a huge gap with the search of Baidu's automatic driving team, Bao Junwei chose to leave and start a business.
In November 2016, Mr. Bao founded innovusion, a lidar R & D company, as co-founder and CEO.
Li Yimin, who used to be the core member of velodyne engineering team and the head of sensor technology team of Baidu automatic driving division, is also a business partner with Bao Junwei. Li Yimin is the CTO of innovision.
According to Bao Junwei, the core technology of innovision lies in two aspects: one is to improve the density of point cloud and effectively measure the distance of lidar, so as to obtain high-density and long-distance image level point cloud data; the other is to realize the fusion of sensor data at the hardware level on this basis.
At CES in 2020, innovusion will also display a special laser radar Falcon for high-level automatic driving, and the world's first laser radar with ROI feature.
In terms of commercial application, innovusion actively arranges v2x vehicle road collaboration, and has been experimented in Beijing, Wuhan, Changsha, Changzhou, Cangzhou and other cities.
At present, innovision has a number of lidar related patents, and its products have been widely used in driverless, intelligent city vehicle road coordination, intelligent high-speed, unmanned rail transit, unmanned mining area, airport security and other fields.
Driva.ai Founder: Zhang Zhe
Zhang Zhe graduated from the Chinese University of Hong Kong in 2015. Before he founded driva, he had worked in Baidu and other ai r & D institutions.
In early 2017, Zhang Zhe and Driva.ai Ren Xianghui, another founder, soon decided to develop an intelligent driving assistant based on iPhone.
When talking about why he chose this direction, Zhang Zhe once told xinzhijia: on the one hand, the computing platform such as mobile phone develops faster, lighter and more flexible than the traditional ADAS system, and the development of an application can continue to upgrade over time.
Driva.ai Using computer vision algorithm and deep learning technology, we can get the front vision through the camera of smart phone to help the driver get a better driving experience.
Zhang Zhe once said that when they accumulate enough data, they will try cloud based systems to provide automatic driving solutions, and then cars can rely on sensors to communicate road information with each other.
At that time, lidar was very expensive, Driva.ai It can provide auto driving solutions with lower cost for cars, so as to seize the market of lidar.
Despite the unique angle of admission autopilot, but Driva.ai After the release of the first intelligent driving app, it fell into silence, and there was no news from Zhang Zhe.
Summary of new smart drive
Baidu collects technical talents all over the world. After leaving Baidu, they promote the development of automatic driving industry with their deep understanding of the industry and profound technical ability.
In just five years, baidu people have blossomed everywhere in the field of automatic driving and achieved fruitful results. In addition to the above technology, there are too many Baidu people are making efforts.
Many years later, China's autopilot development process was resumed. Besides Baidu, people should probably remember those Baidu people who worked hard for the cause of automatic driving.