We propose a novel, real-time, camera-based framework for traffic light detection and
recognition from a moving vehicle. For increasing safe driving, automated detection and …

Traffic light recognition is an important task for automatic driving support systems.
Conventional traffic light recognition techniques are categorized into model-based methods …

In order to improve the comprehensive performance of the traffic sign system, this paper
proposes a lightweight and efficient network model for the existing traffic sign recognition …

During transmission to Autonomous Driving Obstacle Avoidance and Traffic lights detection
Plays an crucial Role. To decrease Traffic and Accidents, Various Algorithms are Proposed …

Study on the identification of traffic signals plays an important role not only for intelligent cars
but also for traditional cars and their drivers. Various identification methods have been …

Research on traffic light detection and semantics is important in the field of intelligent
vehicles. Better detection and clearer semantics can help prevent traffic accidents by self …

The texture classification of an image is related to an important musical attribute, the music
genre. This relationship is depicted in the visual representation of the audio signal, called as …

The number of fatal victims due to traffic accidents is frightening. Neural networks are
already used to try to minimize this problem, however there is still an open task training …

The rising number of road injuries is one of the most pressing challenges facing the world
today. One of the main causes of traffic accidents were unsafe and inattentive driving …

Navigating in outdoor environments can be a challenge for the visually impaired, especially
given the increase of vehicular activity on the streets. It is not wise to rely solely on the …