One of significant tasks in autonomous vehicle technology is traffic signs recognizing. It
helps to avoid traffic violations on the road. However, recognition of traffic signs becomes …

Large cities' expanding populations are causing traffic congestion. The maintenance of the
city's road network necessitates ongoing monitoring, growth, and modernization. An …

As self-driving or autonomous vehicles proliferate in our society, there is a need for their
computing vision systems to be able to identify objects accurately, no matter the weather …

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 …

The current driverless technology has great security risks. The traffic sign recognition
technology equipped in the roof sensor is easily affected by light and occlusion, resulting in …

Traffic sign recognition can provide road information assessment and real-time safety early
warning for safe driving of vehicles. The YOLOv4 model was adopted for traffic sign …

To resolve the issues of a deep backbone network, a large model, slow reasoning speed on
a mobile terminal, low detection accuracy for small targets and difficulties detecting and …

The ability to recognize traffic signs is a critical skill for safe driving, as traffic signs provide
drivers with essential information about the road conditions, potential hazards, speed limits …

Traffic sign detection and recognition in an unconstrained environment is a challenging task
for autonomous vehicle operations. The small traffic signs in the captured image make this …

Recent advancements in computer vision technology, developments in sensors and sensor-
collecting approaches, and the use of deep and transfer learning approaches have excelled …