Aiming at the problems of high missed detection rates of the YOLOv7 algorithm for vehicle
detection on urban roads, weak perception of small targets in perspective, and insufficient …

This paper presents an efficient and layout‐independent Automatic License Plate
Recognition (ALPR) system based on the state‐of‐the‐art you only look once (YOLO) object …

Vehicle make and model recognition (VMMR) is a crucial task for developing automatic
vehicle recognition (AVR) systems, and has gained significant attention in the fields of …

Automatic License Plate Recognition (ALPR) systems have shown remarkable performance
on license plates (LPs) from multiple regions due to advances in deep learning and the …

Vehicle re-identification (re-id) is an essential task in the field of intelligent transportation
systems (ITS). The main goal of re-id is to find the same vehicle in different scenarios, which …

Public datasets have played a key role in advancing the state of the art in License Plate
Recognition (LPR). Although dataset bias has been recognized as a severe problem in the …

Vehicle re-identification (ReID) is to find a particular vehicle across different surveillant
cameras in city roads. There are two main challenges in vehicle ReID. In one case, pictures …

This paper aims to enhance the ability to predict nighttime driving behavior by identifying
taillights of both human-driven and autonomous vehicles. The proposed model incorporates …

Abstract One of Saudi Arabia's biggest exports to its neighbors is fruits and vegetables.
Some of its most productive crops include tomatoes, watermelons, grapes, oranges, onions …

Fine-grained computer vision tasks refer to the ability of distinguishing objects that belong to
the same parent class, differentiating themselves by subtle visual elements. Image …