Applications of deep learning (DL) in autonomous vehicle (AV) projects have gained
increasing interest from both researchers and companies. This has caused a rapid …

With the widespread application of deep learning methodologies, many fields including
Intelligent Transportation Systems (ITS) have integrated neural network-based models. In …

Pedestrian detection (PD) is a vital computer vision (CV) problem that is highly employed in
several real-time applications, namely autonomous driving methods, robotics, and security …

Pedestrian detection remains a critical problem in various domains, such as computer
vision, surveillance, and autonomous driving. In particular, accurate and instant detection of …

The occurring growth in e-commerce comes along with an increasing number of first-time
delivery failures due to the customer's absence at the delivery location. Failed deliveries …

In recent years, pedestrian and vehicle detection at night has become an important subject
of computer vision applications. Because the environment light is weak at night, the common …

Autonomous electric vehicle safety is crucially dependent on the accurate recognition of
pedestrians in diverse situations. Current pedestrian detection techniques, however, face …

Authentication and de-authentication phases should occur at the beginning and end of
secure user sessions, respectively. A secure session requires the user to pass the former …

Nowadays, the rapid development of edge computing has driven an increasing number of
deep learning applications deployed at the edge of the network, such as pedestrian and …

In the realm of video surveillance systems, pedestrian detection (PD) is a crucial task that
enables the identification and tracking of individuals, crowd monitoring, and people …