As a research hotspot, pedestrian detection has a wide range of applications in the field of
computer vision in recent years. However, current pedestrian detection methods have …

For the current increasing number of pedestrian traffic accidents, driving vehicles can
accurately and quickly detect pedestrians is one of the effective ways to avoid accidents …

Real-time pedestrian detection is an important task for unmanned driving systems and video
surveillance. The existing pedestrian detection methods often work at low speed and also …

The existing real-time pedestrian detection method often loses part of the detection
accuracy. For this reason, we proposed a real-time pedestrian detection algorithm based on …

The current popular pedestrian detection methods are mainly based on deep learning
algorithms, including Faster R-CNN, YOLO, SSD and other algorithms. In this paper, the …

Pedestrian detection is widely used in intelligent supervision and assisted driving. With the
development of deep learning, the accuracy of pedestrian detection has been greatly …

Due to the limited memory and computing resources in the real application of target
detection, the method is challenging to implement on mobile and embedded devices. In …

At present, the difficulty of pedestrian detection has been dramatically increased because of
some problems, such as the dark or exposed illumination, bad weather, serious occlusion …

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 …

When the YOLO algorithm is directly used for pedestrian detection, it suffers from the
problem that the algorithm is complex and not suitable for deployment in mobile terminal …