In recent years, the rise of low-cost mini rotary-wing drone technology across diverse sectors
has emphasized the crucial role of object detection within drone aerial imagery. Low-cost …

Various complex defects can occur on the surfaces of small automobile parts during
manufacturing. Compared with other datasets, the auto parts defect dataset used in this …

Recently real-time detection, and recognition of an object of interest are becoming vital tasks
in visual data processing and computer vision. Various models have been deployed to …

Vehicle detection is an important module in traffic management and control systems. These
systems require compactness, mobility, and high accuracy when deployed in a real-time …

Inspection and intervention by drones in rescue operations have growing attention due to
multiple causes, including natural and man-related events. Additionally, the rapid …

Intelligent traffic systems represent one of the crucial domains in today's world, aiming to
enhance traffic management efficiency and road safety. However, current intelligent traffic …

Occupancy grid maps are widely used as an environment model that allows the fusion of
different range sensor technologies in real-time for robotics applications. In an autonomous …

Here we present a new Explainable AI (XAI) method to probe the functional partition in AI
models by comparing features attended to at different layers with human attention driven by …

In the current context of urbanization and transportation expansion, the need for accurate
and efficient detection systems for public transportation has become of the utmost …

To address the lack of accuracy and speed of aircraft detection in complex background
images, the YOLOv5 model is improved in this paper to meet the growing demand for aircraft …