The use of Computer Vision techniques for the automatic recognition of road signs is fundamental for the development of intelligent vehicles and advanced driver assistance systems. In this paper, we describe a procedure based on color segmentation, Histogram of Oriented Gradients (HOG), and Convolutional Neural Networks (CNN) for detecting and classifying road signs. Detection is speeded up by ...

This work proposes a design methodology using ergonomics and anthropometry concepts applied to traffic sign and street name sign projects. Initially, a literature revision on cognitive ergonomics and anthropometry is performed. Several authors and their design methodologies are analyzed and the aspects to be considered in projects of traffic and street name signs are selected and other specific...

This paper presents an on-going research focused on providing artificial intelligence to a traffic light controller. RACE intends to use this intelligent traffic light in its small educative traffic safety village, in which students exercise practices using traffic signs (vertical and horizontal) and traffic lights. One intersection in this village is controlled by traffic lights and the Univer...

Traffic sign recognition through artificial intelligence tools is an attractive topic in the computer vision community for its clear applications in the automotive industry. This problem is a subset of the larger problem of improving safe driving through intelligent technologies that can recognize objects on the road and help drivers avoid hazardous situations. In this work we evaluated a numbe...

A larger number of people with heterogeneous knowledge and skills running a project together needs an adaptable, target, and skill-specific engineering process. This especially holds for a project to develop a highly innovative, autonomously driving vehicle to participate in the 2007 DARPA Urban Challenge. In this contribution, we present essential elements of a software and systems engineering...

This paper reviews various impacts of urbanization on rivers and streams, which lead to symptoms summarized by the general term “urban stream syndrome”. Growing areas of impervious surfaces cause deterioration of water recipients flowing through urban areas. The symptoms of deterioration usually include altered chemical parameters of water and sediment, accumulation of priority pollutants in aq...

When a large number of people with heterogeneous knowledge and skills run a project together, it is important to use a sensible engineering process. This especially holds for a project building an intelligent autonomously driving car to participate in the 2007 DARPA Urban Challenge. In this article, we present essential elements of a software and systems engineering process for the development ...

In this research, a constrained cellular automata (CA) model based on Artificial Neural Network (ANN) is developed to simulate and forecast urban growth. As we know, many factors impact urban growth, and relationships among them are complex and non-linear. In geographic CA research, models with different rules and symbology have been developed to simulate those relationships. Yet, in previous d...