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 …

Traffic signs recognition (TSR) is an important part of some advanced driver-assistance
systems (ADASs) and auto driving systems (ADSs). As the first key step of TSR, traffic sign …

Traffic sign detection (TSD) is a key issue for smart vehicles. Traffic sign recognition (TSR)
contributes beneficial information, including directions and alerts for advanced driver …

Automatic detection and recognition of traffic signs plays a crucial role in management of the
traffic-sign inventory. It provides an accurate and timely way to manage traffic-sign inventory …

This paper presents a Deep Learning approach for traffic sign recognition systems. Several
classification experiments are conducted over publicly available traffic sign datasets from …

As a fundamental element of the traffic system, traffic signs reduce the risk of accidents by
providing essential information about the road condition to drivers, pedestrians, etc. With the …

Both unmanned vehicles and driver assistance systems require solving the problem of traffic
sign recognition. A lot of work has been done in this area, but no approach has been …

In this paper we present a new traffic sign detection and recognition (TSDR) method, which
is achieved in three main steps. The first step segments the image based on thresholding of …

The detection of traffic signs is easily affected by changes in the weather, partial occlusion,
and light intensity, which increases the number of potential safety hazards in practical …

Automatic traffic sign detection and recognition play crucial roles in several expert systems
such as driver assistance and autonomous driving systems. In this work, novel approaches …