Autonomous driving perception method and sand table control system

Abstract

The embodiment of the invention provides an automatic-driving perception method and a sand-table control system. The sand table control system comprises a sand-table control center server, multiple traffic devices which are located in a sand table and are in communication with the sand-table control center server and multiple communication base stations which are located in the sand table and arein communication with the traffic devices and the sand-table control center server. The automatic-driving perception method also includes the steps that the traffic devices perceive movement data of the traffic devices in real time, and send the movement data to the sand-table control center server; all the communication base stations obtain radio beacon data of the traffic devices, and send the radio beacon data to the sand-table control center server; the sand-table control center server generates corresponding automatic-driving control instructions based on the movement data and the radio beacon data to send the corresponding automatic-driving control instructions to the traffic devices; the traffic devices conduct automatic driving in the sand table based on the automatic-driving control instructions. Therefore, the cost of the traffic devices is greatly reduced while the automatic driving function of an unmanned traffic device can be achieved.

Description

technical field [0001] The invention relates to the technical field of automatic control, in particular to an automatic driving perception method and a sand table control system. Background technique [0002] At present, in order to realize the automatic driving function, the passenger-carrying vehicle on the general road needs to deal with other vehicles in various situations in an unknown, complex and constantly changing environment, and also needs extremely high safety. In order to realize the above functions, the manned vehicles on general roads require powerful data processing capabilities and corresponding hardware, such as expensive sensors such as LIDAR lidar, millimeter wave radar, sonar, 2D camera, ranging camera, etc., which are extremely expensive . [0003] In the visual remote control unmanned vehicle training or competition system based on the sand table, the inventors of the present application found the following problems: when the number of human remote co...

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Problems solved by technology

In order to realize the above functions, the manned vehicles on general roads require powerful data processing capabilities and corresponding hardware, such as expensive sensors such as LIDAR lidar, millimeter wave radar, sonar, 2D camera, ranging camera, etc., which are extremely expensive

[0003] In the visual remote control unmanned vehicle training or competition system based on the sand table, the inventors of the present application found the following problems: when the number of human remote control operators is not enough, when the human remote control operators need to receive professional training or confrontation, When the remote human operator is disconnected during the game and needs to be taken over by automatic driving, and many other scenarios, the unmanned vehicle must have the automatic driving function

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