To enable the deployment of target detection algorithms for mobile device, we propose a
lightweight improved algorithm based on YOLOv5s. Firstly, we propose a four-scale …

Paper investigates an enhanced approach on YOLOv5 method that solves the challenges
posed by complex environmental backgrounds, intensive repeated target detection, and …

Aiming at the problem that the target pedestrians' environment in the intelligent driving
system is complex and the detection accuracy is not high due to large size changes, the …

As one of the main tasks in the field of computer vision, pedestrian detection aims to find out
all pedestrians in the image or video. The existing YOLOv3 is a relatively mature object …

Pedestrian detection is one of the most challenging research areas in computer vision.
Compared to traditional hand-crafted methods, convolutional neural networks (CNNs) have …

Pedestrians have random distribution and dynamic characteristics. Aiming to this problem,
this paper proposes a pedestrian object detection method based on improved YOLOv5 in …

Pedestrian detection has large relevance to the understanding of static and moving scenes
of video sequences. The increasing demand for safety and security of people has resulted in …

Pedestrian detection model based on deep learning has been widely used in various fields.
However, its capabilities are limited when operating in complex environments due to high …

Pedestrian detection is an important task that must be integrated into an advanced driving
assisting system (ADAS). For a pedestrian detection task many rules must be respected like …

As urbanization accelerates, traffic congestion and frequent accidents have become
prominent issues, prompting the development of intelligent transportation systems. This …