Emergency vehicle detection plays a critical role in ensuring timely responses and reducing
accidents in modern urban environments. However, traditional methods that rely solely on …

Vehicle classification (VC) is a prominent research domain within image processing and
machine learning (ML) for identifying vehicle volumes and traffic rule violations. In …

Accurate and fast vehicle detection is a key factor in the field of intelligent transportation. To
solve the problems such as low recognition accuracy, slow detection speed, and poor …

Technology advancement produced the uncrewed autonomous ground vehicle. The multi-
view real-time environmental state provision for autonomous uncrewed ground vehicles has …

Autonomous driving has received much attention in the last decade as a key component of
intelligent transportation, and vehicle detection serves as a fundamental task for …

High-resolution remote sensing images (RSI) refer to images captured from a distance,
usually from an aircraft or satellite that provide details about the Earth's surface. It can be …

Arbitrary-oriented objects widely appear in natural scenes, remote sensing images, text
images, etc., and thus arbitrary-oriented object detection has received considerable …

Plant stress recognition consists of Identification, Classification, Quantification, and
Prediction (ICQP) in crop stress. There are several approaches to plant stress identification …

The prevalence of intelligent transportation systems in alleviating traffic congestion and
reducing the number of traffic accidents has risen in recent years owing to the rapid …

The use of synthetic images has been highlighted within the computer vision field as a more
practical option that helps reduce the time and cost spent on vehicle detection tasks in urban …