Edge data analytics refers to processing near data sources at the edge of the network to
reduce delays in data transmission and, consequently, enable real-time interactions …

With the advancement of intelligent driving technology, researchers are paying more and
more attention to the identification of traffic signs. Although a detection method of traffic signs …

To improve the safety and efficiency of train operation, autonomous driving train have
developed rapidly in recent years. Among them, the signal detection is one of the most basic …

With the development of autonomous driving technology, as a part of the intelligent
transportation system, traffic sign recognition (TSR) has attracted more and more attention …

Accurate recognition of traffic light plays a crucial role in ensuring road traffic safety. Due to
the wide variety of traffic light classes and the inherent conflict between location …

This paper analyzes the outcomes of an exploratory review of the current research on
connected and autonomous vehicle mobility. The data used for this study was obtained and …

With the leap-forward development of intelligent driving, traffic light detection with high
accuracy and high speed is important for intelligent transportation systems to ensure safety …

As one of the internet of things (IoT) use cases, wireless surveillance systems are rapidly
gaining popularity due to their easier deployability and improved performance. Videos …

Object detection is the most critical and foundational sensing module for the autonomous
movement platform. However, most of the existing deep learning solutions are based on …

Ellipse fitting is a fundamental yet critical task in computer vision, and the development of
robust and accurate algorithms is crucial for various applications. In this study, we propose a …