What technology is used for autonomous driving?

The automatic driving of Pacific Auto Network is a technology in itself. The automatic driving is divided into several levels, and the principles and technologies used in each level are different. Automatic driving can be completed through the following four steps: information collection, analysis and identification, action decision and equipment control.

What is the WaymoRobotTaxi lidar scheme? Waymo has been working on RobotTaxi for a long time. With the opening of unmanned taxi service without security officers to the public in the United States, it is also the first time in the world to open a completely unmanned taxi to the public. Waymo's technical core is a system suite around lidar.

Figure 22 Architecture of Waymo From a technical point of view, the key technologies of autonomous driving include not only basic technologies such as software and hardware platform, system security platform, vehicle communication platform and core algorithm, but also the system architecture and core algorithm of cloud control platform. The most important core devices are the central processor and the cloud domain controller. This includes not only the integrated backbone network for autonomous driving, but also the new electronic and electrical architecture for multi-domain control. In the intelligent driving control part, L2 and below adopt the multi-ECU distributed control mode based on MCU, L3 and above must adopt the centralized control strategy based on the domain controller constructed by high-performance SOC(SystemonChip). With environment-aware data, GPS information, real-time vehicle data and V2X interactive data as inputs, based on core control algorithms such as environment-aware positioning, path decision-making planning and vehicle motion control, the execution control instructions such as driving, transmission, steering and braking are output to realize the automatic control of vehicles, and the man-machine interaction of automatic driving information is realized through man-machine interface (such as instrument). In order to realize the control requirements of intelligent driving system with high performance and high security, a number of key technologies are integrated, including basic software and hardware platform technology, system security platform technology, vehicle communication platform technology, cloud computing platform technology and core control algorithm technology.

Figure 3 The core software kernel related to autonomous driving is currently in the field of autonomous driving, and the cooperation between traditional car companies and technology companies is a very interesting trend. For example, in Huawei's cooperation, the Alpha S Huawei HI version of ARCFOX Polar Fox is its first landing product, and it is also a model equipped with a laser radar around autonomous driving. It is a model designed for the automatic driving ability of urban roads, covering urban areas, expressway, parking lots and other scenes. From the design of usage characteristics, it is a work that tries to make users have a continuous automatic driving experience from the community garage to the company garage.