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EXTRACTION OF SIMPLE ROAD CROSSING
(Copernicus Gesellschaft Mbh, 2010-01-01)
Road crossings of roads are important components of the road network. However, they generally are not explicit in the existing research on extraction of road network. This is due to the wide variety of road crossings may ...
Extraction of simple road crossing
(2010-01-01)
Road crossings of roads are important components of the road network. However, they generally are not explicit in the existing research on extraction of road network. This is due to the wide variety of road crossings may ...
Georeferenced road extraction and formulation of hypotheses for new road segments
(2000-01-01)
The acquisition and update of Geographic Information System (GIS) data are typically carried out using aerial or satellite imagery. Since new roads are usually linked to georeferenced pre-existing road network, the extraction ...
ROAD REGION DETECTION IN URBAN AREAS COMBINING HIGH-RESOLUTION RGB IMAGE AND LASER SCANNING DATA IN A CLASSIFICATION FRAMEWORK
(Copernicus Gesellschaft Mbh, 2013-01-01)
This paper addresses the problem of road region detection in urban areas using an image classification approach. In order to minimize the spectral superposition of the road (asphalt) class with other classes, the Artificial ...
Road region detection in urban areas combining high-resolution RGB image and laser scanning data in a classification framework
(2013-01-01)
This paper addresses the problem of road region detection in urban areas using an image classification approach. In order to minimize the spectral superposition of the road (asphalt) class with other classes, the Artificial ...
Comprehensive Performance Analysis Of Road Detection Algorithms Using The Common Urban Kitti-road Benchmark
(Institute of Electrical and Electronics Engineers Inc., 2014)
Socially Inspired Data Dissemination For Vehicular Ad Hoc Networks
(Association for Computing Machinery, Inc, 2014)
Automatic object extraction from high resolution aerial imagery with simple linear iterative clustering and convolutional neural networks
(2019-09-17)
Recent advances in machine learning techniques for image classification have led to the development of robust approaches to both object detection and extraction. Traditional CNN architectures, such as LeNet, AlexNet and ...
Output Feedback Control Applied To Car Pursuit Problem With Lossy Network
(IEEENew York, 2016)