The KNN classification algorithm is one of the most commonly used algorithm in the AI field.
This paper proposes two improved algorithms, namely KNN TS, and KNN TS-PK+. The two …

Enhancing pavement distress inspection is crucial within a pavement management system.
Recognizing the advantages of automated pavement condition inspection, considerable …

The pavement distress information is essential for evaluating the pavement. Automatic
pavement inspection systems can be so beneficial in providing needed information on …

Pavement management systems play a vital role in maintaining transportation infrastructures
by evaluating pavement distress to perform maintenance tasks efficiently. Severity analysis …

Road damages have caused numerous fatalities. Therefore, the study of road damage
detection, especially hazardous road damage detection and warning, is critical in improving …

Shadow detection and removal are vital in image processing and computer vision
applications, and have impacted diverse industries such as automated driving, medicine …

Maintenance has a major impact on the financial plan of road managers. To ameliorate road
conditions and reduce safety constraints, distress evaluation methods should be efficient …

Accurate road surface from a three-dimensional (3D) point cloud depends on various
parameters. One crucial parameter is the set of point features. Point features enable …

The KNN algorithm is one of the most famous algorithms in machine learning and data
mining. It does not preprocess the data before classification, which leads to longer time and …

The real-time road surface friction coefficient (RSFC) is a critical parameter for evaluating
skid resistance and making safe driving decisions in driver assistance systems and …