Vision-based traffic sign detection and recognition systems: Current trends and challenges
The automatic traffic sign detection and recognition (TSDR) system is very important
research in the development of advanced driver assistance systems (ADAS). Investigations …
research in the development of advanced driver assistance systems (ADAS). Investigations …
Overcoming occlusion in the automotive environment—A review
Accurate and consistent vulnerable road user detection remains one of the most challenging
perception tasks for autonomous vehicles. One of the most complex outstanding issues is …
perception tasks for autonomous vehicles. One of the most complex outstanding issues is …
Traffic sign detection and recognition based on random forests
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 …
is achieved in three main steps. The first step segments the image based on thresholding of …
Cataloging public objects using aerial and street-level images-urban trees
Each corner of the inhabited world is imaged from multiple viewpoints with increasing
frequency. Online map services like Google Maps or Here Maps provide direct access to …
frequency. Online map services like Google Maps or Here Maps provide direct access to …
Using deep learning to identify utility poles with crossarms and estimate their locations from google street view images
Traditional methods of detecting and mapping utility poles are inefficient and costly because
of the demand for visual interpretation with quality data sources or intense field inspection …
of the demand for visual interpretation with quality data sources or intense field inspection …
Bag-of-visual-phrases and hierarchical deep models for traffic sign detection and recognition in mobile laser scanning data
This paper presents a novel algorithm for detection and recognition of traffic signs in mobile
laser scanning (MLS) data for intelligent transportation-related applications. The traffic sign …
laser scanning (MLS) data for intelligent transportation-related applications. The traffic sign …
Traffic sign detection in MLS acquired point clouds for geometric and image-based semantic inventory
Nowadays, mobile laser scanning has become a valid technology for infrastructure
inspection. This technology permits collecting accurate 3D point clouds of urban and road …
inspection. This technology permits collecting accurate 3D point clouds of urban and road …
Automatic discovery and geotagging of objects from street view imagery
Many applications, such as autonomous navigation, urban planning, and asset monitoring,
rely on the availability of accurate information about objects and their geolocations. In this …
rely on the availability of accurate information about objects and their geolocations. In this …
Distinctive order based self-similarity descriptor for multi-sensor remote sensing image matching
A Sedaghat, H Ebadi - ISPRS Journal of Photogrammetry and Remote …, 2015 - Elsevier
Robust, well-distributed and accurate feature matching in multi-sensor remote sensing
image is a difficult task duo to significant geometric and illumination differences. In this …
image is a difficult task duo to significant geometric and illumination differences. In this …
Vehicle localization using mono-camera and geo-referenced traffic signs
X Qu, B Soheilian, N Paparoditis - 2015 IEEE Intelligent …, 2015 - ieeexplore.ieee.org
Vision based localization is a cost effective method for indoor and outdoor application.
However, it has drift problem if none global optimization is used. We proposed a geo …
However, it has drift problem if none global optimization is used. We proposed a geo …