(Image source: Photo.com)
On the afternoon of April 23, the new M5 was officially released in Beijing, with a price starting at 249,800 yuan. One of the biggest highlights of this car is that the whole system is equipped with Huawei's ADS2.0 high-end intelligent driving system as standard. The system is equipped with 1 lidar, 3 millimeter wave radar, 12 ultrasonic radar and 11 camera perception solutions, and supports high-end intelligent driving functions such as high-speed intelligent driving, urban intelligent driving, and tracking reversing, providing drivers with a safer and more convenient driving experience.
Yu Chengdong, CEO of Huawei's consumer business, said that Huawei's intelligent driving surpassed Tesla's FSD and was the best in the world. He said that Huawei has sent a team of experts to the United States to test Tesla's FSD, and after comparing the tests, it was found that Huawei's intelligent driving system is better than Tesla's FSD.
Tesla CEO Elon Musk is very optimistic about autonomous driving, on April 24, he said on Tesla's first-quarter earnings call, "If anyone wants to invest in Tesla stocks, then I strongly recommend that you must try FSD, if you don't know FSD, it's hard to say that you know Tesla." ”
Earlier, Musk said that Tesla's FSD is no longer limited by artificial intelligence training computing power, and the speed of improvement will be greatly accelerated. He predicts that in the future, its safety index will surpass that of human driving, reaching an astonishing 10 times.
At present, Tesla's intelligent driving software FSD V12 version has begun to accelerate the landing in North America, and Tesla has changed FSD (full self-driving) from the test version of "FSD Beta" to "FSD Supervised", foreign media believe that this means that FSD has ended the public beta and entered the link of large-scale commercialization.
Not long ago, when asked when Tesla's Full Self-Driving (FSD) feature will be implemented in China, Musk said: "It may be realized soon."
Tesla's self-driving technology outperforms its rivals
In August 2018, the Insurance Institute for Highway Safety (IIHS) selected five models from Tesla, Mercedes, BMW, and Volvo to test the reliability and completeness of self-driving cars on the market. In lane-keeping tests, the results showed that the Tesla Model 3 was able to stay in the lane for all test periods, while the Tesla Model S overcorrected in one drive, causing it to cross the inside line of the turn. The Mercedes-Benz E-Class stayed in its lane nine of the 17 times it was tested, once the system failed while driving and twice crossed the inner line. The Volvo S90 crossed the inside lane eight times, while the BMW 5 Series stayed in the lane only three out of 16 trips, and was considered the most likely system failure.
The key to L3-L5 autonomous driving - lidar
LiDAR is a comprehensive light detection and measurement system, which works by transmitting and receiving laser beams, analyzing the reentry time after the laser encounters the target object, so as to calculate the distance between the target object and the vehicle. The more emitted harnesses, the more accurate the measurements. LiDAR technology has long been widely used in aerospace, navigation, surveying and mapping, exploration and other fields. With the development of automotive intelligence, LiDAR has begun to be applied in L3 level autonomous driving.
Baidu and Huawei have deployed L4/L5 technologies for autonomous driving
At present, companies involved in autonomous driving business have adopted different approaches: traditional car companies have adopted a "progressive" route, starting with relatively basic and low-difficulty assisted driving, and gradually realizing L1/L2/L2+ assisted driving functions. In contrast, Internet companies such as Google, Baidu, and Huawei have chosen the "leapfrogging" route, while some new EV manufacturers are directly aiming at the development of the L3 stage, while technology companies such as Baidu and Huawei are committed to transformative leadership.
Mao Ming, academician of the Chinese Academy of Sciences and researcher of the North China Vehicle Research Institute, interpreted the realization path of autonomous driving from the perspective of intelligent equipment. He pointed out that at present, intelligent equipment in society is emerging in an endless stream, humanoid robots are investing hotly, online shopping, online office, and online creation have become the norm, and the competition in large models and generative artificial intelligence (AIGC) is fierce, indicating that "human society is in an era of accelerated evolution of digitalization, informatization, and intelligence."
Zhongtai Securities believes that the mainland intelligent driving is currently in the stage of rapid penetration increase, and it is expected that by 2024 it will become the first year of L3+ intelligent driving. In terms of hardware, large computing power chips and sensors continue to iterate to reduce costs and provide hardware support for high-end intelligent driving.
Prospective Economist APP Information Group
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