Semantic image segmentation is a popular image segmentation technique where each pixel
in an image is labeled with an object class. This technique has become a vital part of image …

This study aims at building a robust method for detecting and classifying traffic signs from
mobile LiDAR point clouds and digital images. First, this method detects traffic signs from …

Recently, many studies have demonstrated the valid contribution of mobile laser scanning to
road safety improvements, thus intense efforts have been made to implement automatic data …

Abstract Road Sign Detection and Recognition (RSDR) is aimed to enable drivers maintain
basic functionality with the aim of identifying and notifying driver through the existing …

The application of deep learning techniques on point cloud data holds significant promise
for efficient data segmentation and classification of traffic signs. This study proposes …

Reconfigurability and parallel computing capability of field programmable gate array (FPGA)
devices are highly exploited in real-time digital image and video processing applications. In …

In this paper, a method for the speed limit traffic sign recognition is proposed. The method is
based on Support Vector Machines, which is one of the most efficient algorithms used for …

State-of-the-art methods for traffic signs detection based feature extraction have got a high
recall rate, but the detection rates are not ideal for some mistakenly detected. In this work …

Traffic sign detection is considered as one of the active research topics in transportation and
computer vision. The previous works mainly focus on detecting traffic signs in images or in …

Detection of traffic signs and light poles using light detection and ranging (LiDAR) data has
demonstrated a valid contribution to road safety improvements. In this study, the authors …