Lane marking detection is fundamental for both advanced driving assistance systems and
traffic surveillance systems. However, detecting lane is highly challenging when the visibility …

In recent years, advancements in sustainable intelligent transportation have emphasized the
significance of vehicle detection and tracking for real-time traffic flow management on the …

Industrial nameplates serve as a means of conveying critical information and parameters. In
this work, we propose a novel approach for rectifying industrial nameplate pictures utilizing a …

The early trajectory prediction of micro unmanned aerial vehicles (micro-UAVs) with random
behavior intentions facilitates the elimination of potential safety hazards. However, due to …

Due to advancements in the deep learning technology, object detection has become
significantly important for lane detection and vehicle detection. In recent times, lane …

The section detection of the pavement is the data basis for measuring the road smoothness,
rutting, lateral slope, and structural depth. The detection of the Pavement-Section includes …

Lane recognition is an essential task for autonomous cars and driver-aid systems. However,
the currently used algorithms for lane detection may not perform well in certain situations …

A stable 3D object detection model based on BEV paradigm with temporal information is
very important for autonomous driving systems. However, current temporal fusion model use …

Lane line detection is one of the important tasks of the environment perception system of
autonomous vehicles, which must be very time sensitive and robust. To this end, this paper …

This paper presents a method for the automatic extraction of the structure of wastewater
networks from geographical maps, as well as their representation in the form of graphs. The …