From the early stages of autonomous vehicle's development, traffic light detection/perception
system have been an important area of research for making collision safe self-driving …

Reliable real-time detection of traffic lights is a major concern for the task of autonomous
driving. As deep convolutional networks have proven to be a powerful tool in visual object …

Autonomous driving is a topic in computer vision which has captured a great deal of
attention in recent years. One key problem is the detection and state analysis of traffic lights …

In defect of intelligent assistant approaches, the visually impaired feel hard to cross the
roads in urban environments. Aiming to tackle the problem, a real-time Pedestrian Crossing …

Reliable traffic light detection is one crucial key component for autonomous driving in urban
areas. This includes the extraction of direction arrows contained within the traffic lights as an …

The quality of life of people is increasing together with the develo** technologies. One of
the most important factors affecting daily life is smart cities. The quality of life of people is …

Traffic light detection in real-world conditions is challenging because of the positioning of
lights, variety in shapes and scales, and similarity with other objects. The paper presents a …

Traffic lights classification is a very important task that should be accomplish using computer
vision techniques. RADAR or LIDAR sensors are suitable to detect traffic lights. However …

Operator situational awareness in Nuclear Power Plant (NPP) control rooms is
quintessential in ensuring plant safe operation. Towards improving situational awareness, a …

With rapid advancement of advanced driver assistance systems (ADAS) and autonomous
driving functions, modern vehicles have become ever more intelligent than before …