What are the key factors to improve self-driving car technology?

For self-driving car technology. Whether it is the safety of the autonomous driving system or the smoothness of its operation, the most critical issue is the matching of software and hardware.

With the combination of software technology and hardware technology, the role of software in autonomous driving is becoming more and more important. However, this does not mean that hardware technology is not important, it can only be said that hardware technology is much simpler than software technology. The software can improve the experience of using a smart car. Hardware is the carrier of software technology and the umbrella of software systems. As automotive systems have become more complex, the architecture of automotive functions has also changed. Current electric vehicles improve battery life and chip computing power from the problems of improving fuel consumption and engine power for fuel vehicles in the past.

It can be seen from the industry news in recent years that major car companies have released new cars one after another. A topic that has to be mentioned is the computing power, data, algorithms, and computing power of the chip, which is also an important area for future technological development. Under the blessing of artificial intelligence, computing power must be the inevitable existence of intelligent products. Facing the alienated business demands of future smart vehicle production, it is necessary to establish a unified vehicle computing capability measurement system to associate and map heterogeneous computing resources.
In the field of smart cars, computing is mainly divided into logical operations, vector computing, matrix computing, and tensor computing. Artificial intelligence’s technical application in the field of smart cars has changed from the previous CPU-based AI intelligence form to the CPU+XPU structure.
The system of a smart car changes with the needs of functions, the integration of chips will increase, and the throughput of data will also increase. Future computing power is the key, but the computing power system must be formed to reflect the real value. Because even if the computing power of a single chip is very large, it is impossible to support the operation of a system. Computing power, data, and algorithms are three indispensable types of chips. Only by establishing a unified framework among the three can a complete system be formed.