Vehicle Image Classifier for Bridge Displacement Correlation

Displacement monitoring of a Long-Span Arch Railway Bridge using Digital Image Correlation (DIC)

There is an escalating demand for condition monitoring enhancement of transport infrastructures worldwide. Bridges are of vital importance in transportation infrastructure and need such monitoring. In this research, a non-contact vision-based technique called Digital Image Correlation (DIC) was used to calculate the bridge displacements. A high frame rate camera with 4K capability was used for ...

Exploring Indirect Vehicle-Bridge Interaction for Bridge SHM

In this paper, we explore an indirect measurement approach for bridge structural health monitoring (SHM) that collects sensed information from the dynamic responses of many vehicles travelling over a bridge and then makes extensive use of advanced signal processing techniques to determine information about the state of the bridge. We refer to this approach as vehicle-data driven and indirect. W...

Moving Pixel Displacement Detection using Correlation Functions on CIS Image

— Moving pixel displacement detection algorithm using correlation functions for making panorama image on the continuous images is presented in this paper. The input images get from a CMOS image sensor (CIS). The camera is maintained by constant brightness and uniform sensing area in test input pattern. For simple navigation and capture image has to 70% overlapped region. A correlation rate in t...

Iranian Vehicle License Plate Detection based on Cascade Classifier

A license plate recognition system contains three main steps: plate detection, character segmentation and character recognition. The first and foremost step of this system is the plate detection stage where the plate is located from the input image. In this paper an effective plate detection approach is developed based on a cascade classifier. A two-phase training approach is proposed to enhanc...

An Investigation Into the Vehicle-Curved Bridge Dynamic Interaction