Accident detection and public traffic safety is a crucial aspect of safe and better community.
Monitoring traffic flow in smart cities using different surveillance cameras plays a crucial role …

Due to static traffic management regulations on roadways, traffic flow may become
congested as it has been growing on roads. Estimating traffic density impacts intelligent …

Early disease detection in greenhouses is an important part of integrated disease
management in modern agriculture. A real-time object detection method of melon leaf …

Traffic density estimation can be used for controlling traffic light signals to provide effective
traffic management. It can be done in two steps: vehicle recognition and counting. Deep …

Engineering vehicle recognition based on video surveillance is one of the key technologies
to assist illegal land use monitoring. At present, the engineering vehicle recognition mainly …

The dynamic and unpredictable nature of road traffic necessitates effective accident
detection methods for enhancing safety and streamlining traffic management in smart cities …

Traditional machine learning algorithms are susceptible to objective factors such as video
quality and weather environment in the vehicle detection of Unmanned Aerial Vehicle (UAV) …

Science and technology researchers are currently focused on the creation of self-driving
cars. This can have a profound effect on social and economic progress; self-driving vehicles …

In this study, a novel deep learning algorithm for object detection, named MelNet, was
introduced. MelNet underwent training utilizing the KITTI dataset for object detection …

Ensuring the safety and durability of roads and bridges necessitates the accurate
identification of spatial-temporal distribution of vehicle loads. This can be achieved using …