As 5G networks become more widespread and faster, autonomous driving technology will be able to transmit data and interconnect more efficiently. This will help increase the intelligence and automation levels of self-driving vehicles. The low latency and high bandwidth of 5G networks will provide stronger support for real-time perception and response of autonomous vehicles. This will enable self-driving cars to more accurately identify and respond to obstacles and changes on the road, improving driving safety. 5G will also bring greater network capacity, thus supporting more autonomous vehicles running in parallel. This means that in the future, we may see more self-driving vehicles used in areas such as logistics transportation, remote operation, and mobility services.

Moreover, the high speed and large capacity of 5G will facilitate the interaction between autonomous vehicles and other intelligent devices (such as smart traffic lights and vehicle-to-vehicle communication devices), thereby achieving more efficient traffic flow management and coordinated driving. 5G technology will bring many innovation and development opportunities to the autonomous driving application market, further promoting the maturity and popularization of self-driving technology.

Application Solution Introduction

Domain Controller:

Obtains relevant data outside the vehicle through external sensors (LiDAR, cameras, GNSS, etc.) as the basis for the domain controller to issue operation commands.

Chassis Drive-by-Wire:

As the executor of vehicle commands, it needs to perform operations immediately after receiving operation instructions from the domain controller, such as emergency braking.

Communication:

Provides low-latency uplink and downlink data channels to ensure monitoring and operation commands can reach the other end in a timely manner.

Cloud System:

Can view the current vehicle operating status in real-time and issue execution commands to let the vehicle travel according to the re-planned route. It can also remotely drive the vehicle through intelligent driving.