A kind of AR multi-way navigation system

Abstract

The invention discloses an AR multi-channel navigation system. The AR multi-channel navigation system includes an AR server, a vehicle-mounted terminal, and a road surface real-scene map collection terminal; the AR server includes an AR real-scene database, a 5G signal sending and receiving module, and an AR real-scene map correction module; Among them, for road images without road marking lines, except for the outermost contour line of the road, sewer manhole cover, communication cable manhole cover and cable manhole cover, the other road images are filled with preset road image filling blocks to form , all the above-mentioned types of manhole covers are also filled with corresponding manhole cover image filling blocks. Since the images are preset and specially used for filling, the filling pictures of all road images are the same, so there is no need to store different road images. Real-scene road images, thereby further compressing the storage space of images. In this application, it is proposed to divide the navigation layer into multiple layers, and only need to perform less data transmission during navigation.

Description

technical field [0001] The invention relates to the technical field of AR navigation systems, in particular to an AR multi-channel navigation system. Background technique [0002] With the development of electronic technology, people began to live a faster and more convenient way of life. Nowadays, with the development of my country's economy, self-driving cars have become an increasingly indispensable part of people's lives. However, when we drive to a certain destination, due to the large and complex city or region, people cannot recognize the route, which brings inconvenience to life; however, with the development of navigation technology, the use of navigation systems for navigation Query the route to the destination, which brings convenience to people's life. [0003] In the prior art, the navigation system includes Baidu map, Gaode map and 360 map, etc. However, these navigation maps are displayed to the user in the form of a flat map, or the so-called 3D virtual nav...

AI Technical Summary

Problems solved by technology

However, the system suffers from rendering quality that is far from perfect

[0011] However, in order to realize AR navigation, especially immersive AR navigation, more cameras are necessary to obtain more scenes outside the car, and at the same time, local queries or even online queries are required. In this way, the transmission and query of images, especially high-definition images, It will inevitably lead to time delay. For high-speed cars, the delay of data may bring trouble to the wrong intersection, or even advance or delay the turn in the wrong lane, which will bring terrible consequences. This provides a low-latency navigation, which is of great significance

[0012] In order to reduce the time delay of data transmission, the usual method is to increase the bandwidth of information transmission, which can provide a larger data signal transmission channel to transmit high-definition AR images for navigation or image information captured by multiple cameras, but This will inevitably lead to an increase in the cost of AR real-scene navigation equipment, which is not good for consumers or production designers; or in order to reduce signal transmission, reduce the resolution and clarity of AR real-scene images, or compress and The way of decompression is to transmit a smaller data file during the transmission, and at the same time reduce the number of cameras simultaneously, but this also makes the clarity of the final AR real-world image used for navigation not enough, or the data of the sensor vehicle is not accurate enough , and finally lead to poor navigation effect, can not clearly find the scene outside the car or need to spend more observation energy of the user to observe, and even cause danger

[0013] However, in the existing technology, there is no effective technology to solve the above-mentioned problems at the same time, and at the same time provide a low-latency navigation technology with low cost, high navigation efficiency and clear images. Therefore, it is hoped to provide a low-latency Timely and low-cost navigation technology to solve the above problems

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