Over the last few years, different traffic sign recognition systems were proposed. The present
paper introduces an overview of some recent and efficient methods in the traffic sign …

Abstract Evidently, Intelligent Transport System (ITS) has progressed tremendously all its
way. The core of ITS are detection and recognition of traffic sign, which are designated to …

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 …

Nowadays, more and more object recognition tasks are being solved with Convolutional
Neural Networks (CNN). Due to its high recognition rate and fast execution, the …

Several applications require information about street furniture. Part of the task is to survey all
traffic signs. This has to be done for millions of km of road, and the exercise needs to be …

In machine learning, the presumably best model is selected from a variety of model
candidates generated by testing different model types, hyperparameters, or feature subsets …

Autonomous vehicles use 3D sensors for perception. Cooperative perception enables
vehicles to share sensor readings with each other to improve safety. Prior work in …

Autonomous vehicle prototypes today come with line-of-sight depth perception sensors like
3D cameras. These 3D sensors are used for improving vehicular safety in autonomous …

Traffic sign detection is a central part of autonomous vehicle technology. Recent advances
in deep learning algorithms have motivated researchers to use neural networks to perform …

Abstract Traffic Sign Recognition (TSR) is an important component of Advanced Driver
Assistance Systems (ADAS). The traffic signs enhance traffic safety by informing the driver of …