US 2024/0193407 A1 · CONVOLUTIONAL NEURAL NETWORKS FOR PAVEMENT ROUGHNESS ASSESSMENT USING CALIBRATION-FREE VEHICLE DYNAMICS

Abstract

The present invention is directed to a method of identifying road roughness by collecting sensor data from a computing device and applying deep learning techniques to estimate the road's roughness index. The present invention features a system comprising computing devices. Each computing device may be mounted to a vehicle. Each computing device may be capable of measuring, while the vehicle is driving on a road. GPS, driving speed, vertical acceleration, and angular velocity of pitch motion. The system may further comprise a neural network computing device comprising a CNN comprising convolutional layers and global average pooling layers. The CNN may be trained by a data set comprising previous data from the plurality of computing devices. The CNN may be capable of accepting the plurality of parameters from the computing devices as input and generating an international roughness index (IRI) value of the road as output.

Claims19

Dependent claims

A system for estimating road roughness under real-world driving conditions through training and implementation of a convolutional neural network (CNN) (210), the system comprising:

a. a plurality of computing devices (100), wherein each computing device (110) is mounted to a vehicle (130), wherein each computing device (110) is capable of measuring, while the vehicle (130) is driving on a road, a plurality of parameters comprising:
i. global positioning system (GPS),
ii. driving speed,
iii. vertical acceleration, and
iv. angular velocity of pitch motion;
and
b. a neural network computing device (200) communicatively coupled to the plurality of computing devices (100), the neural network computing device (200) comprising the CNN (210), the CNN (210) comprising a plurality of convolutional layers;
wherein the CNN (210) is capable of accepting the plurality of parameters from the plurality of computing devices (100) as input and generating an international roughness index (IRI) value of the road as output based on the input.

5 more elements

Dependencies are inferred from the claim text.

Convolutional neural networks for pavement roughness assessment using calibration-free vehicle dynamics

Life of this patent

Convolutional neural networks for pavement roughness assessment using calibration-free vehicle dynamics

Life of this patent

Abstract

Claims19