We survey research on self-driving cars published in the literature focusing on autonomous
cars developed since the DARPA challenges, which are equipped with an autonomy system …

This paper presents the challenges that researchers must overcome in traffic light
recognition (TLR) research and provides an overview of ongoing work. The aim is to …

Traffic sign detection, as an important part of intelligent driving, can effectively guide drivers
to regulate driving and reduce the occurrence of traffic accidents. Currently, the deep …

Detecting small objects is a challenging task. We focus on a special case: the detection and
classification of traffic signals in street views. We present a novel framework that utilizes a …

Traffic light recognition (TLR) detects the traffic light from an image and then estimates the
state of the light signal. TLR is important for autonomous vehicles because running against a …

In recent years, target detection framework based on deep learning has made brilliant
achievements. However, real-life traffic sign detection remains a great challenge for most of …

This paper presents a robust technique to detect traffic lights during both day and night
conditions and estimate their distance. The traffic light detection is based initially on color …

Traffic light detection and recognition technology are of great importance for the
development of driverless systems and vehicle-assisted driving systems. Since the target …

Traffic light detection plays an important role in intelligent transportation system, and many
detection methods have been proposed in recent years. However, illumination variation …

Traffic light detection from a moving vehicle is an important technology both for new safety
driver assistance functions as well as for autonomous driving in the city. In this paper we …