Although traffic sign recognition has been studied for many years, most existing works are
focused on the symbol-based traffic signs. This paper proposes a new data-driven system to …

Background Maintaining an up-to-date record of the number, type, location, and condition of
high-quantity low-cost roadway assets such as traffic signs is critical to transportation …

Pedestrians distracted by smartphones are easy to meet with various dangers when
crossing or walking on the street, such as the obstacles on the sidewalk (eg, temporary …

People are increasingly becoming accustomed to taking photos of everyday life in modern
cities and uploading them on major photo-sharing social media sites. These sites contain …

Road segmentation is a problem encountered fairly frequently, especially in the framework
of scene understanding and self-driving cars. On the flip side, there are several Street View …

In the Modern years many varieties of solutions has been framed for transport infrastructure
such as street view application, traffic scrutiny, shortest road path navigation and route …

While much work in the domain of traffic lights recognition is invested in the detection of
traffic lights, classification of their exact state (including color phase and possible arrow …

The paper proposes an approach to recognize road signs in Google Street View panoramic
images. The color images formed by special queries from the Google site with a 640× 640 …

This paper presents a novel approach for streamlining data collection and wrangling
processes to facilitate Machine Learning (ML) and Artificial Intelligence (AI) applications in …

Captured images obtained beforehand by imaging ranges corresponding to peripheries of a
vehicle, or processed images generated to correspond to the captured images are stored to …