Pedestrian detection attracts much attention from the academic community since it is an
essential and significant component of autonomous driving. Despite many similarities with …

Pedestrian detection is a crucial task in intelligent transportation systems, which can be
applied in autonomous vehicles and traffic scene video surveillance systems. The past few …

Pedestrian detection is an important and challenging issue for autonomous driving. Most of
the pedestrian detecting methods utilize the general object detection framework, which …

Detecting pedestrians is a challenging computer vision task, especially in the intelligent
transportation system. Mainstream pedestrian detection methods purely utilize information of …

The research in pedestrian detection has made remarkable progress in recent years.
However, robust pedestrian detection in crowded scenes remains a considerable challenge …

Pedestrian detection plays an important role in some areas such as autonomous driving, but
due to heavy occlusion and various scales, it is still challenging. In this article, we propose …

In recent years, with the research enthusiasm of deep learning, pedestrian detection has
made significant progress. However, the performance of state-of-the-art algorithms are still …

Pedestrian detection in densely populated scenes, particularly in the presence of
occlusions, remains a challenging issue in computer vision. Existing approaches often …

To solve the problem of numerous deep convolutions in YOLOv4, which generates many
redundant background features so that it cannot focus on pedestrians at a specific scale, we …

As a basic component in the field of computer vision, the pedestrian detection plays an
essential role in several real‐world applications such as video surveillance. The promising …