Pavement disease automatic detection system and method based on polarization imaging and ensemble learning
The invention discloses a pavement disease automatic detection system and method based on polarization imaging and integrated learning, and the system comprises a high-definition polarized light binocular camera, a neural network acceleration vehicle-mounted computer platform, a GNSS positioning mod...
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creator | CHEN WEI SHAO LIN YUAN HONGWU LIU YUNFEI WU MINJING XU GUOMING XIA CHAOYANG |
description | The invention discloses a pavement disease automatic detection system and method based on polarization imaging and integrated learning, and the system comprises a high-definition polarized light binocular camera, a neural network acceleration vehicle-mounted computer platform, a GNSS positioning module, and a 5G communication module. The neural network acceleration vehicle-mounted computer platform processes collected image data in real time, identifies pictures with road surface diseases and classifies disease types and severity of disease areas, the GNSS positioning module obtains space positioning information of a vehicle, image depth information is obtained in combination with double-sided visual positioning, and the image depth information is displayed on the vehicle-mounted computer platform. And the 5G communication module is used for carrying out remote communication between the inspection vehicle and a background management platform and transmitting inspection data to a background in real time, and a |
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subjects | ANALOGOUS ARRANGEMENTS USING OTHER WAVES CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES IMAGE DATA PROCESSING OR GENERATION, IN GENERAL INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES MEASURING PHYSICS RADIO DIRECTION-FINDING RADIO NAVIGATION TESTING |
title | Pavement disease automatic detection system and method based on polarization imaging and ensemble learning |
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