This paper presents a parallel implementation and performance analysis of a system for traffic sign recognition with digital map fusion on emerging multicore processors and graphics processing units (GPU). The system employs a particle filter based localization and map matching and template-based matching for sign recognition. In the proposed system, a GPS, odometer and camera are fused with di...

Vision–based road detection is an essential functionality for supporting advanced driver assistance systems (ADAS) such as road following and vehicle and pedestrian detection. The major challenges of road detection are dealing with shadows and lighting variations and the presence of other objects in the scene. Current road detection algorithms characterize road areas at pixel level and group pi...

Traffic Sign Recognition (TSR) is one of the most sought-after topics in computer vision, mostly due to increasing scope and advancements self-driving cars. In our study, we attempt implement a TSR system that helps driver stay alert during driving by providing information about various traffic signs encountered. We will be looking at working model classifies gives output form an audio message....

Road markings and signs provide vehicles pedestrians with essential information that assists them to follow the traffic regulations. surface include pedestrian crossings, directional arrows, zebra speed limit signs, other similar text, so on, which are usually painted directly onto road surface. fulfill a variety of important functions, such as alerting drivers potentially hazardous section, di...

hand gesture recognition is very important to communicate in sign language. in this paper, an effective object tracking and hand gesture recognition method is proposed. this method is combination of two well-known approaches, the mean shift and the motion detection algorithm. the mean shift algorithm can track objects based on the color, then when hand passes the face occlusion happens. several...

Road feature is one of the most important features of urban. The change of road reflects construction speed of an urban. map road updating timely and exactly becomes an urgent issue. Current method updating of road feature is carried out complete manually, and has the disadvantage of tending to lose changed road and low automatic level. The updating of map road feature including two parts: one ...

The Seoul Road Sign Management (RSM) is a system which provides the semantic integration of LOD’s Linked Geo Data and Open Street Map with Korean POI data set. That is an attempt to develop intelligent road sign management system based on the LarKC platform. The RSM data set contains over 1.1 billion triples of semantic data. However, significant amount of the RSM data are noisy (e.g., inconsis...