Automatic driving flexible track road surface monitoring system and signal scanning method

Abstract

The invention provides an automatic driving flexible track pavement monitoring system and a signal scanning method, which are used for scanning a signal of a pressure detection unit to determine the working state of the pressure detection unit, and comprise a pavement monitoring device and a controller, the road surface monitoring devices are electrically connected with the controller, and the controller is configured to send pulse electric signals to any column of pressure detection units in the road surface monitoring devices, judge the pressure detection units in each row, and send the pressure detection units to the road surface monitoring devices if any row or multiple rows can detect contact short-circuit pulse signals transmitted by closing of the sensors. If yes, judging that the intersection is in a sensor triggering state, and sending the state in real time for displaying; and cyclically scanning according to a period to obtain the contact closed state of the sensor in the whole area. According to the technical scheme, the road surface monitoring device is used for accurately monitoring all road conditions and vehicle conditions in real time, the road condition and vehicle condition information is reliable, and all road conditions are transparent.

Description

technical field [0001] The present disclosure belongs to the technical field of road surface monitoring, and in particular relates to an automatic driving flexible track road surface monitoring system and a signal scanning method. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] At present, the navigation system mainly relies on: GPS, Beidou, etc., and the positioning accuracy is relatively poor. There may be information errors or untimely feedback. [0004] Current road condition monitoring: the vehicle installs the on-board equipment carried by itself, collects video images through cameras, measures the speed of the vehicle with various radars, and measures the distance from other vehicles. After comprehensive analysis and judgment, it belongs to active analysis and cannot be monitored accurately and in a timely manner. Or predicting t...

AI Technical Summary

Problems solved by technology

[0004] Current road and vehicle condition monitoring: Vehicles independently install and carry on-board equipment. After comprehensive analysis and judgment of several factors such as video images collected by cameras, vehicle speed measured by various radars, and distance from other vehicles, it is an active analysis and cannot be accurately and timely monitored. Or predict the danger and make an accurate judgment, it will cause great safety hazards

[0005] The inventor found in the research that in order to better realize unmanned driving, the existing related technology also discloses the grid division of the road surface, but the current above-mentioned division method and the specific road surface detection technology cannot realize the accurate measurement of the road occupancy. Monitoring, there are situations of missed detection and false detection. The road occupancy is the most critical technology of unmanned driving technology. If the data monitoring is wrong, it will greatly affect the precise control of subsequent automatic driving.

[0006] Therefore, from the above-mentioned navigation and vehicle condition monitoring aspects, the current unmanned driving technology has the problem of insufficient accurate and timely detection information, and the lag of information directly affects the normal operation of unmanned vehicles. Therefore, the core technical problem solved by this application One is: how to ensure the real-time and accuracy of the detection of driving road surface information

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