Crosswalks play a fundamental role in road safety. However, over time, many suffer wear and tear that makes them difficult to see. This project presents a solution based on the use of computer vision techniques for identifying and classifying the level of wear on crosswalks. The proposed system uses a convolutional neural network (CNN) to analyze images of crosswalks, determining their wear status. The design i...
Pedestrian crossings are an essential part of the urban landscape, providing safe passage for pedestrians to cross busy streets. While some are regulated by timed signals and are marked with signs and lights, others are simply marked on the road and do not have additional infrastructure. Nevertheless, the markings undergo wear and tear due to traffic, weather, and road maintenance activities. If pedestrian cros...
Este estudo visa validar, avaliar e comparar diferentes técnicas de visão computacional para detetar passadeiras pedonais em mau estado de conservação, muitas vezes quase imperceptíveis tanto para automobilistas como para peões. Apresenta os conceitos relacionados com a temática e as soluções apontadas na literatura, discute os pontos fortes e limitações das mesmas e identifica pontos em aberto. Após esta análi...