Automatic moving vehicle detection plays a crucial and challenging role in performing
intelligent traffic surveillance. Numerous research projects aiming to perform proper …

Sentiment analysis plays a key role in companies, especially stores, and increasing the
accuracy in determining customers' opinions about products assists to maintain their …

License plate detection (LPD) system identifies and tracks vehicles using their license plate
(LP) numbers, making it useful for law enforcement, toll collection, and parking …

The vehicles are the core elements of smart transportation, and vehicle identification &
classification is an essential task in many sub-areas of smart transportation. With the change …

This study aimed to train algorithms for detecting commercial unmanned aerial vehicles
using machine learning techniques. Neural network architectures YOLOv8 and MobileNetV3 …

Traffic has been a major concern in most of the cities. Monitoring cameras are used to track,
detect and count vehicles in real-time to ensure proper management of traffic. Counting of …

Abstract 3D object detection is fundamental for computer vision applications. Although
motion is essentially linked with the orientation of the object, the trajectory of the object is not …

Recent years the usage of automobiles significantly increased in urban regions. As the
usage increased, the traffic jams also became a major issue in day-to-day life. Even …

Controlling the flow of traffic requires an advance traffic management to know what is
happening on the busiest urban junctions. As there are billions of traffic cameras around the …

Vehicle detection and classification are major functions of advanced driver assistance
systems (ADAS). In this paper, a deep-learning approach for vehicle detection and …