PROJECT TITLE :

A Review of Three-Dimensional Imaging Technologies for Pavement Distress Detection and Measurements

ABSTRACT:

With the ever-increasing emphasis on maintaining road assets to a high commonplace, the requirement for quick correct inspection for road distresses is turning into extremely necessary. Surface distresses on roads are essentially three dimensional (3-D) in nature. Automated visual surveys are the simplest option offered. But, the imaging conditions, in terms of lighting, etc., are terribly random. For example, the challenge of measuring the degree of the pothole requires a massive field of view with a reasonable spatial resolution, whereas microtexture evaluation requires terribly correct imaging. Within the two extremes, there is a range of things that need three-D imaging. 3-dimensional imaging consists of a number of techniques like interferometry and depth from focus. Out of those, laser imagers are mainly used for road surface distress inspection. Many alternative techniques are comparatively unknown among the transportation community, and industrial products are rare. The most impetus for this paper is derived from the rarity of three-D industrial imagers that use different techniques to be used in transportation. Additionally, the requirement for this work is additionally highlighted by an absence of literature that evaluates the relative merits/demerits of numerous imaging strategies for various distress measurement things in relation to pavements. This overview will produce awareness of obtainable three-D imaging ways in order to help build a fast initial technology selection and deployment. The review is predicted to be useful for researchers, practicing engineers, and call manufacturers in transportation engineering.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Revisiting Light Field Rendering with Deep Anti-Aliasing Neural Network ABSTRACT: The reconstruction of the light field (LF) is primarily hindered by two obstacles: a large disparity and the effect of not following
PROJECT TITLE : Deep Generative Modelling A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models ABSTRACT: Deep generative models are a category of methods that train deep neural networks
PROJECT TITLE : A Comprehensive Review of Computing Paradigms, Enabling Computation Offloading and Task Execution in Vehicular Networks ABSTRACT: The research community focused on vehicle networking has always placed a primary
PROJECT TITLE : An Empirical Review of Deep Learning Frameworks for Change Detection Model Design, Experimental Frameworks, Challenges and Research Needs ABSTRACT: One of the fundamental objectives of computer vision and video
PROJECT TITLE : A Review for Weighted MinHash Algorithms ABSTRACT: The computation of data similarity, also known as data distance, is a fundamental research topic that serves as the basis for a large number of high-level applications

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry