The process of detecting vehicles' license plates, along with recognizing the characters
inside them, has always been a challenging issue due to various conditions. These …

License plate recognition systems have a very important role in many applications such as
toll management, parking control, and traffic management. In this paper, a framework of …

The rapid development of artificial intelligence technology has brought profound technical
changes to many traditional industries, among which intelligent transportation has become a …

Benefiting from the rapid development of convolutional neural networks, the performance of
car license plate detection and recognition has been largely improved. Nonetheless, most …

The working condition of opening damper directly affects the opening mechanical
characteristics and component lifetime of high-voltage circuit breaker (HVCB). Vibration …

Introduction Semantic segmentation is a crucial visual representation learning task for
autonomous driving systems, as it enables the perception of surrounding objects and road …

The study of climate change has become an important topic because of its negative impact
on human life. The North-East African part lacks the studies for climate change detection …

The CNN‐LSTM network has a low generalization ability, and the backward relevance of
actions is not strong. In this work, a convolutional self‐encoding timing network with a fusion …

Due to the rapid increase in private car ownership in China, most cities face the problem of
insufficient parking spaces, leading to frequent occurrences of parking space conflicts. There …

LiDAR and camera are pivotal sensors of 3D (three-dimensional) object detection. As a
result of their different characteristics, increasingly multimodal-based object detection …