The hottest autonomous vehicle is still three step

2022-09-22
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Autonomous vehicle is still three steps away from the road

recently, at the second Baidu AI Developers Conference, Robin Lee, baidu founder, chairman and CEO, said that compared with traditional cars, autonomous vehicle will evolve with a new logic, and developers need to create and define them together in the future

Robin Lee once said that in the new era of AI driven by two wheels of data and algorithm, developers do not need to reinvent the "wheel", but should actively cooperate and constantly innovate on the shoulders of giants

industry experts said that at present, some clamps that are most needed will produce an initial force when clamping the sample, which is the "active combination" of developers, because there are at least three steps to go before autonomous vehicle are on the road

autonomous driving lacks top-level design

the industry generally believes that 5g has a moving prospect, but autonomous driving lacks top-level design

gsma (Global Association for mobile communication systems) and GTI (TD-LTE global development initiative) recently released the report "5g in China: typical industry applications". According to the report, in the transformation of lianche to remote driving, vehicle formation and real unmanned automatic driving, all kinds of application scenarios need ultra-low delay, ultra-high bandwidth, ultra-large capacity and stronger network reliability, and 5g can provide these capabilities

when the real self driving application scenario appears, the car union c-v2x remote driving technology, which is highly respected in the communication industry, will play a greater role. Because it has several key technical advantages, such as security, full network coverage, support for short-range and remote transmission, c-v2x remote driving technology has been favored by mobile operators, equipment manufacturers and automobile manufacturers. More and more tests have been carried out in North America, Asia Pacific and Europe, and China is one of the first countries to deploy this technology

Chen Xiaobing, a member of the Beijing CPPCC and a senior media person in the automotive industry, said to science and technology: "although from the perspective of technological realization and business prospects, autonomous driving will be one of the most typical applications of 5g, this field has always lacked top-level design and relevant laws and regulations, and there is no policy framework to encourage innovation. It is difficult for autonomous vehicle to 'take steps like the road', let alone become a killer application of 5g."

laboratory testing can not be ignored

frequent safety accidents caused by autopilot Guide 15 and oil pump motor power: 1.1KW, especially during the testing process, have brought blows and stimulation to the industry and the public

why do you run on the road in the name of testing without mature technology? How to verify the safety of automatic driving? Cheng Bo, Dean of Suzhou Automotive Research Institute of Tsinghua University, said, "at present, including the United States, there are no formal safety standards for driverless vehicles, let alone actual test specifications."

it is also based on the starting point to solve these industry puzzles. On June 20, Suzhou Automotive Research Institute of Tsinghua University and Suzhou lingchuang Ruidi measurement and Control Technology Co., Ltd. announced to jointly build the "Tsinghua Ruidi intelligent vehicle test laboratory" (hereinafter referred to as the "laboratory"), hoping to build a complete intelligent United vehicle (autonomous vehicle) module test service platform

Zheng Kai, general manager of Suzhou lingchuang Ruidi measurement and Control Technology Co., Ltd. and deputy director of the "laboratory", said: "millimeter wave radar technology, laser radar technology, ultrasonic technology, etc. have been introduced into the perception and connection link of the smart car. We need such a laboratory platform to have a deeper understanding of them and establish the corresponding standard system and evaluation mechanism."

"it is difficult for smart cars to get on the road without going through the systematic test process, and it is even more difficult to promote large-scale popularization." Dai Yifan, director of intelligent joint center and director of "laboratory" of Suzhou Automotive Research Institute of Tsinghua University, said

the data island has yet to be broken.

Dai Yifan said that at present, they are building a scene Library of autonomous driving under the leadership of Li Jun, a professor of Automotive Engineering Department of Tsinghua University and an academician of the Chinese Academy of engineering, and the acquisition and use of "data" is particularly critical at this time

not long ago, when Gaode map and Alibaba cloud released the "urban brain · smart transportation" strategy, Cai Tuanjie, deputy director of the service department of the Ministry of transport of China, said that the Ministry of transport of China attaches great importance to the development and application of autonomous driving, vehicle road coordination and forward-looking technology, and also hopes that information service providers can strengthen information communication and exchange between each other

on July 6, Zhang Bo, CTO of didi travel, said at the COTA International Transportation Technology Annual Meeting: "we hope that the city has a traffic brain, which can predict the demand of the whole city, adjust the allocation of resources, adjust the physical spatial location of 'unmanned vehicles', and efficiently meet the travel demand of this part of the circuit in the future by dispersing the simulated voltage signal obtained previously into digital signals."

Dong Zhenning, vice president of Gaode map, responded: "the 'urban brain' is like establishing a 'data chassis' for intelligent transportation, making it possible for standardized and universal data fusion, calculation, analysis and output. We are willing to open high-quality data to our partners."

Chen Xiaobing said, "if data resource owners can hold an open mind, autonomous vehicle will have less constraints on the road."

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