Now-a-days, Object detection algorithms becomes more popular because of their significant
contribution to the field of computer vision. Object detection algorithms are divided into two …

Aiming at solving the problem of missed detection and low accuracy in detecting traffic signs
in the wild, an improved method of YOLOv8 is proposed. Firstly, combined with the …

Real-time target detection and location has important values in video surveillance. Aimed at
the low accuracy of existing real-time object detection algorithms, this paper proposes a …

Aiming at the problem of low accuracy of single-step detection algorithm and long time-
consuming detection of two-step detection algorithm, this paper proposes a convolutional …

To improve the vehicle detection accuracy and solve the problem that small vehicles are
difficult to detect, an adaptive multi-scale feature fusion network (AMFFN) is proposed to …

Vehicle detection is one of the important applications of object detection in intelligent
transportation systems. It aims to extract specific vehicle-type information from pictures or …

Aiming at the problem of low detection accuracy of vehicle and pedestrian detection models,
this paper proposes an improved you only look once v4 (YOLOv4)-tiny vehicle and …

Real-time detection of the pavement environment is an important part of autonomous driving
technology. This paper presents a real-time vehicle detection system based on embedded …

Traffic sign detection is a crucial task in computer vision, finding wide-ranging applications in
intelligent transportation systems, autonomous driving, and traffic safety. However, due to …

Aiming at the characteristics of large changes in object scale and complex background in
urban aerial image, we propose an advanced YOLOv3 detection algorithm to solve it. First …