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[ Hot Focus on Chemical Machinery and Equipment Network ] As a cutting-edge technology, autonomous driving has always attracted the attention of countries all over the world, and it is also a key development project of major technology companies and automobile enterprises
.
Google, Apple, Microsoft, Amazon, Tesla and others have joined the race one after another, with these big tech companies spending 9% of their investments in the automotive and mobility sectors
.
In China, technology companies such as Huawei and Baidu have also been working on the research and development of autonomous driving technology
.
Chemical machinery and equipment network hotspots focus on chemical machinery and equipment.
Google, Apple, Microsoft, Amazon, Tesla and others have joined the race one after another, with these big tech companies spending 9% of their investments in the automotive and mobility sectors
.
In China, technology companies such as Huawei and Baidu have also been working on the research and development of autonomous driving technology
.
During the National Two Sessions, Li Yanhong, member of the National Committee of the Chinese People's Political Consultative Conference and Baidu CEO, brought a proposal on "policy innovation for autonomous driving and unmanned driving".
The development of high-level autonomous vehicles still faces many problems, and it is necessary to further break through policy bottlenecks that are incompatible with technology and industrial development, and stimulate innovation in the field of autonomous driving
.
” The development of autonomous driving technology still needs innovation, and the commercialization of autonomous driving is far from being the case.
There is still a long way to go, and domestic and foreign companies are still exploring
.
The development of high-level autonomous vehicles still faces many problems, and it is necessary to further break through policy bottlenecks that are incompatible with technology and industrial development, and stimulate innovation in the field of autonomous driving
.
” The development of autonomous driving technology still needs innovation, and the commercialization of autonomous driving is far from being the case.
There is still a long way to go, and domestic and foreign companies are still exploring
.
Just yesterday (March 22), chip giant Nvidia announced the company's latest automotive autonomous driving technology platform "Drive Hyperion 9"
.
At the company's GTC conference, Nvidia also officially announced that electric vehicle makers such as Lucid Motors and BYD will use Hyperion's platform architecture
.
Chip giant Nvidia has unveiled the company's latest self-driving technology platform "Drive Hyperion 9" .
At the company's GTC conference, Nvidia also officially announced that electric vehicle makers such as Lucid Motors and BYD will use Hyperion's platform architecture
.
The new Drive Hyperion 9, the central nervous system for autonomous driving technology, will enter service in 2026
.
In total, its architecture includes a litany of sensors in the car : 14 cameras, 9 radars, 3 lidar sensors, and 20 ultrasonic sensors on the outside of the vehicle, as well as 3 cameras and a radar inside the vehicle
.
sensor .
In total, its architecture includes a litany of sensors in the car : 14 cameras, 9 radars, 3 lidar sensors, and 20 ultrasonic sensors on the outside of the vehicle, as well as 3 cameras and a radar inside the vehicle
.
By combining sensor sets and high-performance computing, vehicles equipped with Hyperion will be able to achieve Level 4 autonomous driving capabilities, and the architecture of the entire system can also achieve functional safety and cybersecurity
.
"From many embedded controllers to powerful centralized computers, the car of the future is programmable," Nvidia CEO Jen-Hsun Huang wrote in the statement .
"
The life cycle of the car can be extended through software updates that provide artificial intelligence and audio-visual capabilities
.
"
.
"From many embedded controllers to powerful centralized computers, the car of the future is programmable," Nvidia CEO Jen-Hsun Huang wrote in the statement .
"
The life cycle of the car can be extended through software updates that provide artificial intelligence and audio-visual capabilities
.
"
It is not difficult to see that sensors play a great role in autonomous driving.
Sensors can help the architecture of new platforms for autonomous driving.
The development of sensors will also promote the advancement of autonomous driving technology and make future autonomous driving safer
.
Sensors can help the architecture of new platforms for autonomous driving.
The development of sensors will also promote the advancement of autonomous driving technology and make future autonomous driving safer
.
