A method is disclosed for detecting and classifying one or more traffic lights. The method may include converting an RGB frame to an HSV frame. The HSV frame may be filtered by at least one threshold value to obtain at least one saturation frame. At least one contour may be extracted from the at least one saturation frame. Accordingly, a first portion of the RGB may be cropped in order to encompass an area including the at least one contour. The first portion may then be classified by an artificial neural network to determined whether the first portion corresponds to a not-a-traffic-light class, a red-traffic-light class, a green-traffic-light class, a yellow-traffic-light class, or the like.
ОБНАРУЖЕНИЕ И КЛАССИФИКАЦИЯ СВЕТОФОРА С ИСПОЛЬЗОВАНИЕМ МАШИННОГО ЗРЕНИЯ И ГЛУБИННОГО ОБУЧЕНИЯ
2019-04-05
Patent
Electronic Resource
Russian
ОБНАРУЖЕНИЕ СВОБОДНОГО ПРОСТРАНСТВА С ИСПОЛЬЗОВАНИЕМ МОНОКУЛЯРНОЙ КАМЕРЫ И ГЛУБОКОГО ОБУЧЕНИЯ
European Patent Office | 2019
СПОСОБ И СИСТЕМА ОБУЧЕНИЯ ДЛЯ ПРЕДОТВРАЩЕНИЯ СТОЛКНОВЕНИЙ С ИСПОЛЬЗОВАНИЕМ ЗВУКОВЫХ ДАННЫХ
European Patent Office | 2018