Huawei or Tesla, who is stronger in intelligent driving assistance technology?
In this regard, both Huawei and Tesla are in the spotlight.
Finally, Huawei has its own R&D team in LiDAR, chips, algorithms, and big data.
Tesla, as the first company to introduce artificial intelligence-assisted systems in new energy vehicles, has collected a large amount of experimental data. Tesla has also launched the FSD system in North America.
Let's compare: Is Huawei a Tesla with better hardware or software?
The first is hardware.
Huawei independently develops the hardware and software of autonomous driving systems, including lidar and unmanned driving chips.
Huawei showcased the industry's first 192-line medium- and long-range LiDAR with an update rate of 20 GHz, as well as three chips for autonomous driving: Centum 310, Centum 610, and Centum 620.
Tesla's driverless chip, FSD chip, and AutopilotHW144 from TOPS30 did not develop their own lidar because these are just vision technologies.
The Inquirer M9 will use a large AI model consisting of more than a billion parameters to achieve L4 autonomous driving.
When it comes to hardware, Huawei is superior because it has more of its own hardware, especially chips, and even Huang says Huawei is its biggest competitor.
Then there's the interior.
Huawei has developed God20 Object Perception Algorithm and RCR20 Road Awareness Algorithm, which together make up ADS20 map-free driving algorithm. god2.0 can detect external obstacles without limitations, and the detection rate of general obstacles is as high as 999%。
Tesla has developed its own FSD road image recognition system and other similar features.
The difference is that Tesla has opted for a purely visual route and has not used lidar or millimeter-wave radar, while Huawei has used lidar, millimeter-wave and other technologies.
In conditions such as fog and heavy rain, pure visual inspection methods cannot accurately identify, while a combination of optical and lidar methods can better cope with severe weather.
This also means that even if you program well, you can't accurately assess road conditions, so Huawei wins the game.
The third stage is to verify the information.
Tesla's attempts in this area have been around for a long time, but it hasn't been easy.
Tesla currently owns nearly 5 million of these cars, and they can be found all over the world. They use cameras, millimeter-wave radars, and other devices to collect vast amounts of data for large-scale modeling, which is unmatched by other automakers.
Although Huawei has been experimenting with driverless cars for a long time, it has lagged far behind Tesla in terms of car ownership and mileage.
Tesla won, and it won.
The fourth lesson is to drive a real car on the road.
Huawei has started updating ADS 2Version 0, which will be rolled out nationwide and will be more convenient to use.
However, since China has not yet opened up L3 testing, the specific regulations and conditions are not yet known, so the manufacturer only specifies L2++. However, Polar Fox, Changan Automobile, and **ITA, which have already obtained L3 test licenses, all use Huawei technology.
Since Tesla is using a pure vision system, all the information has been sent to the United States, so it has not been authorized.
Although Tesla has also launched the FSD beta version in North America, Tesla's China FSD beta official** emphasizes that the beta version of the FSD cannot achieve unmanned driving, and attention must be focused on driving.
Due to frequent failures in North America, Tesla has been the target of a massive recall.
Judging from the hardware, software, and test results, Huawei's intelligent technology assistance system seems to be stronger.