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 …

Recent years have witnessed enormous progress in AI-related fields such as computer
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …

Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …

This paper presents a comprehensive literature review on environment perception for
intelligent vehicles. The state-of-the-art algorithms and modeling methods for intelligent …

Real-time detection of traffic signs, the task of pinpointing a traffic sign's location in natural
images, is a challenging computer vision task of high industrial relevance. Various …

For the last two decades, intelligent transportation systems (ITS) have emerged as an
efficient way of improving the performance of transportation systems, enhancing travel …

In this paper, we provide a survey of the traffic sign detection literature, detailing detection
systems for traffic sign recognition (TSR) for driver assistance. We separately describe the …

We apply Convolutional Networks (ConvNets) to the task of traffic sign classification as part
of the GTSRB competition. ConvNets are biologically-inspired multi-stage architectures that …

Traffic sign detection and recognition in an unconstrained environment is a challenging task
for autonomous vehicle operations. The small traffic signs in the captured image make this …

Although traffic sign detection has been studied for years and great progress has been
made with the rise of deep learning technique, there are still many problems remaining to be …