Environment perception, one of the most fundamental and challenging problems of
autonomous vehicles (AVs), has been widely studied in recent decades. Due to inferior fault …

Face mask detection is a challenging research problem of computer vision because of the
small sized area of face mask. The unavailability of proper datasets makes this problem …

Accurate vehicle classification and tracking are increasingly important subjects for intelligent
transport systems (ITSs) and for planning that utilizes precise location intelligence. Deep …

Law offenders take advantage of face masks to conceal their identities and in the present
time of the COVID-19 pandemic wearing face masks is a new norm which makes it a …

In recent years, vehicle detection from video sequences has been one of the important tasks
in intelligent transportation systems and is used for detection and tracking of the vehicles …

With the deep research on autonomous driving, the target detection algorithms based on 2D
images have become a hot topic in recent years. In this paper, we mainly study the six …

随着深度学习的不断发展, 目标检测技术逐步从基于传统的手工检测方法向基于深度神经网络的
检测方法转变. 在众多基于深度学习的目标检测方法中, 基于深度学习的单阶段目标检测方法因 …

Traffic flow estimation is required for road infrastructure management tasks such as road
development planning, routing, and navigation. Determining traffic flow on a citywide scale …

The detection and counting of fruit tree canopies are important for orchard management,
yield estimation, and phenotypic analysis. Previous research has shown that most fruit tree …

As seen in the COVID-19 pandemic, one of the most important measures is physical
distance in viruses transmitted from person to person. According to the World Health …