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Your location: Home > Related Articles > A major manifestation of high-precision spatiotemporal intelligent services: autonomous driving navigation capability

A major manifestation of high-precision spatiotemporal intelligent services: autonomous driving navigation capability

Author:QINSUN Released in:2024-02 Click:27

Recently, the General Office of the State Council issued the Development Plan for the New Energy Vehicle Industry (2021-2035), which clearly proposes to promote the application of satellite navigation systems such as Beidou in the field of high-precision positioning. In the implementation of the intelligent networking technology innovation project, the Plan mentions the need to break through core technologies and products such as high-precision maps and positioning.

So, what is high-precision spatiotemporal intelligent services? In fact, high-precision spatiotemporal intelligent services refer to the use of BeiDou ground-based enhancement stations built throughout the country to receive positioning signals from satellites such as BeiDou and GPS in the sky, calculate satellite positioning errors in real time, and provide high-precision positioning services for billions of users. At present, there are many companies in China that can provide high-precision location services.

Specifically, Qianxun Location, initiated by China Ordnance Industry Group and Alibaba Group, aims to provide users with positioning capabilities up to dynamic millimeter and static millimeter levels through the construction and operation of the National Beidou Ground Enhancement System "One Network" and independently developed satellite positioning and data computing technologies. Their core advantages are growing on cloud computing, proficient in algorithms, and skilled in handling big data, Bring Internet capabilities into the satellite navigation industry.

At the recent domestic launch event of Huawei Mate 40 series, Huawei Consumer Business CEO Yu Chengdong announced that Huawei has partnered with Amap and Qianxun to launch sub meter level lane navigation, which is open to application developers through the HMS Core. It is reported that the first batch will support Shenzhen, and in the future, more cities and more apps will be supported. It is worth noting that sub meters are not units of length, but rather the degree of measurement accuracy. Measurement accuracy at the sub meter level can be as accurate as decimeters, centimeters, or even millimeters. The sub meter level lane navigation released by Huawei this time is jointly implemented by a ground-based enhancement system provided by satellite GPS and Qianxun position.

With the continuous advancement of technology, the application value of inertial satellite integrated navigation systems is gradually emerging, and related research structures are also beginning to explore their diversified application possibilities. Fully utilize the advantages of inertial navigation systems and satellite navigation systems, and fuse the two navigation data based on the best estimation algorithm to obtain better navigation results; When the satellite navigation system cannot work, using inertial navigation alone can ensure the normal operation of the system for a long time, improve the stability and reliability of the system, which has been a goal that the industry has been striving to achieve for a long time.

In the final analysis, autonomous vehicle rely on the cooperation of radar, artificial intelligence, visual computing, monitoring devices and positioning systems to automatically and safely operate motor vehicles without any human active operation intervention. Analysts predict that high-precision positioning technology will achieve technological breakthroughs and applications in the hot field of intelligent driving in the coming years. In adverse weather conditions, non line of sight scenarios, or unstable onboard sensors, high-precision positioning technology will provide corresponding reference basis for the direction perception of intelligent vehicles.

In fact, the standard autonomous driving architecture includes positioning, perception (radar+visual perception), sensor fusion, motion control, and motion planning. On this basis, some manufacturers are committed to increasing map management and integration, behavior planning and behavior/action prediction, and the implementation of related new products and technologies is also enriching and improving the autonomous driving ecosystem.

As a complex artificial intelligence project, autonomous driving will directly drive the rapid development of industries such as radar, sensors, and navigation systems in the commercialization process. Taking unmanned vehicles as an example, the departure of unmanned vehicles from safety officers will lead to further qualitative changes in the business format. For example, the speed of promoting the application of shared taxis in various regions will accelerate.

A high-precision map is like the memory of an autonomous vehicle. "Without memory, no matter how developed the eyes and the speed of thinking (camera and radar+control system) are, there is still no global control over events". The comprehensive utilization of technologies such as the Internet of Things, big data, cloud computing, and artificial intelligence, as well as detection, monitoring, navigation, and other equipment, will enable vehicles to achieve safe and stable driving, which will also become a major trend in the implementation process of autonomous driving.