Passenger car: L4 automatic driving route
The wind began to be more and more verified.
Three months ago, XinzhiDrive reported on the Alibaba Autopilot team. At the time, the news of the new wisdom drive was that Alibaba artificial intelligence laboratories (AIlabs) were conducting research and development related to autonomous driving technology. As of November 2017, there were about 10 teams involved in the research and development, and the latter planned for 2017. The demo test is completed at the end of the year and the team size will be expanded to around 50 in early 2018.
On April 16th, “Caixin†quoted Ali insiders’ information, again confirming Ali’s ambition in the field of autonomous driving. The route is mainly based on L4 fully automated driving technology. At present, the team’s modified Lincoln MKZ has been in normal status. The road tests have been carried out, and they have initially had the ability to test open roads, while dozens of vehicles are under development. Subsequently, a number of media sought confirmation from Ali and confirmed the rumors again.
In addition, another important piece of information that has been verified this time is that the leader of the team is indeed, as said before, Wang Gang, chief scientist of AIlabs.
Wang Gang joined Alibaba in March 2017 as an outstanding scientist. He is a tenured professor at Nanyang Technological University in Singapore. He is also a member of the IEEE TransactionsonPatternAnalysisandMachineIntelligence editorial board of top AI journalists. He was also selected as the MIT Technology Review (2017 Technology Innovation Review) 2017 global youth scientific and technological innovation talents. List (TR35).
Wang Gang is a long-learner at AIlabs. He is mainly responsible for machine learning, computer vision, and natural language understanding. In July last year, Alibaba released the smart speaker Tmall Elf X1 to apply his research results. While in Singapore, Wang Gang developed assistive driving systems for vehicle, vehicle distance, and lane detection, and successfully commercialized it.
At the same time, the machine vision team led by Ren Xiaofeng, the chief scientist of iDST (Data Science and Technology Research Institute), is also carrying out relevant technological advancement. In January of this year, Ali won three road scene segmentation championships in the world’s largest automated driving computer vision algorithm set KITTI, including two specific scene assessment tasks for UMM_ROAD (multi-lane) and UU_ROAD (rural lane), and an overall scenario. The comprehensive evaluation task URBAN_ROAD.
Rookie Automated Driving Logistics Distribution
Compared to passenger cars, for the Alibaba based e-commerce business, automatic driving logistics vehicles go earlier and faster.
At the end of 2015, Ali's rookie network established the rookie ET logistics laboratory, which mainly engaged in the research and development of drones, end-distribution robots, and complex picking robots in the warehouse; at the end of 2016, ET Logistics Lab officially launched an autonomous driving logistics vehicle. Up till now, a total of three new R&D robots have been developed: rookie G, rookie G2, and rookie GPlus. Recently, the road test video of the unmanned logistics vehicle with the word “Rookie ET Logistics Laboratory†printed on its body has also started to appear on the Internet.
In late March, at a technical forum in Shenzhen, the rookie senior algorithm expert Chen Junbo revealed that its automatic driving logistics delivery vehicle is likely to be in volume production by the end of this year. Now, the vehicle is being tested on the 10km section between Alibaba Brazil Creek Park and the rookie Xixi first seat. The latest GPlus can already complete the internal documents and express delivery between the two places.
The rookie automatic driving logistics delivery vehicle adopts the fusion scheme of laser radar, GPS, and vision. If Ali's passenger vehicle chooses the L4 technical route, its solution may also cover many kinds of laser radar, millimeter-wave radar, camera, etc. Sensor Technology.
In addition, Chen Junbo also said that in addition to the end of the small logistics vehicles, the team will also carry out related technological development in the self-driving truck. Thus, from passenger cars, small logistics vehicles, to trucks, Ali's automatic driving plan has already covered the most foreseeable scenarios.
Automotive industry chain layout
He Xiaopeng, who was the president of Ali Mobile Group, left Ali in August last year. He officially became Chairman of the Xiaopeng Group and began to build high-profile cars. Ali became a key capital force behind the new car company, in addition to participating in the earliest investment with He Xiaopeng. In addition, in January of this year, Xiaopeng Automobile started 2.2 billion yuan in Series B financing, and Ali is still an important player.
In addition, Alibaba's other major move is to join hands with SAIC.
In 2015, Ali and SAIC set up a car networking company Zebra Zhixing; in July 2016, the two jointly launched the Roewe RX5 claiming to be "the first Internet car", and the second year, the Roewe RX3 was listed, based on the operating system AliOS Zebra. The Chi Heng vehicle system not only collects user data through these two vehicles, but is also successfully installed on models such as MG and Chase. At present, the installed capacity of the entire Zebra Chi Heng system has exceeded 530,000, and its cooperation with Dongfeng Citroen and Ford is also gradually in place.
From the vehicle manufacturing to the auto-pilot industrial layout of passenger cars, logistics delivery vehicles, and trucks, to the hardware and software support of the high-tech maps, Chihiro locations, and Zebra’s Chiyoda, in this heavy capital and talent In the industry competition, Ali's product matrix is ​​constantly becoming complete and complete. Although lagging behind Baidu and Tencent at the start, but for a company with a market value of more than US$400 billion, overtaking of corners and overtaking is not a nightmare.
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