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 …

Vision-only systems are currently very popular for use in autonomous driving systems and
advanced driver-assistance systems. These systems operate by using input images from a …

Traffic detection and interpretation of its correct state is one of the most important information
for developing an autonomous vehicle navigation system. Traffic light detection helps the …

Traffic light detection is an important matter in urban environments during the transition to
fully autonomous driving. Many literature has been generated in the recent years …

Due to the unavailability of Vehicle-to-Infrastructure (V2I) communication in current
transportation systems, Traffic Light Detection (TLD) is still considered an important module …

Traffic Light Detection (TLD) and understanding their state semantics at intersections plays a
pivotal role in driver assistance systems and, by extension, autonomous vehicles. Despite of …

Traffic light detection and recognition is essential for autonomous driving in urban
environments. A camera based algorithm for real-time robust traffic light detection and …

Accurate recognition of traffic lights in public roads is a critical step to deploy automated
driving systems. Camera sensors are widely used for the object detection task. It might seem …

Autonomous driving cars have become a trend in the vehicle industry. Numerous driver
assistance systems (DAS) have been introduced to support these automatic cars. Among …

This paper proposes a method that uses a deep neural network (DNN) to detect small traffic
lights (TLs) in images captured by cameras mounted in vehicles. The proposed TL detector …