An automatic approach to road lane marking extraction from high-resolution aerial images is proposed, which can automatically detect the road surfaces in rural areas based on hierarchical image analysis. The procedure is facilitated by the road centrelines obtained from low-resolution images. The lane markings are further extracted on the generated road surfaces with 2D Gabor filters. The proposed method is applied on the aerial images of the Bruce Highway around Gympie, Queensland. Evaluation of the generated road surfaces and lane markings using four representative test fields has validated the proposed method
The 3D information of road infrastructures are gaining importance with the development of autonomous...
The goal of this research is to develop an algorithm that accurately segments high-resolution images...
The goal of this research is to develop an algorithm that accurately segments high-resolution images...
The automatic extraction of road features from remote sensed images has been a topic of great intere...
The aim of the thesis is to develop a method to identify driving lanes based on aerial images and ex...
Precise, up-to-date and increasingly detailed road maps are crucial for various advanced road applic...
In this paper, we presented an automatic system for precise urban road model reconstruction based on...
Accurate road lane information is crucial for advanced vehicle navigation and safety applications. W...
Spatial data are a key element of geographic information systems (GIS). With the growing computation...
Spatial data are a key element of geographic information systems (GIS). With the growing computation...
Accurate and detailed road models play an important role in a number of geospatial applications, suc...
Precise, up-to-date and increasingly detailed road maps are crucial for various advanced road applic...
This paper focuses on segmenting road areas in aerial images. The anticipated outcomes from segmenta...
This paper focuses on segmenting road areas in aerial images. The anticipated outcomes from segmenta...
This paper proposes a systematic approach to evaluate algorithms for extracting road marking feature...
The 3D information of road infrastructures are gaining importance with the development of autonomous...
The goal of this research is to develop an algorithm that accurately segments high-resolution images...
The goal of this research is to develop an algorithm that accurately segments high-resolution images...
The automatic extraction of road features from remote sensed images has been a topic of great intere...
The aim of the thesis is to develop a method to identify driving lanes based on aerial images and ex...
Precise, up-to-date and increasingly detailed road maps are crucial for various advanced road applic...
In this paper, we presented an automatic system for precise urban road model reconstruction based on...
Accurate road lane information is crucial for advanced vehicle navigation and safety applications. W...
Spatial data are a key element of geographic information systems (GIS). With the growing computation...
Spatial data are a key element of geographic information systems (GIS). With the growing computation...
Accurate and detailed road models play an important role in a number of geospatial applications, suc...
Precise, up-to-date and increasingly detailed road maps are crucial for various advanced road applic...
This paper focuses on segmenting road areas in aerial images. The anticipated outcomes from segmenta...
This paper focuses on segmenting road areas in aerial images. The anticipated outcomes from segmenta...
This paper proposes a systematic approach to evaluate algorithms for extracting road marking feature...
The 3D information of road infrastructures are gaining importance with the development of autonomous...
The goal of this research is to develop an algorithm that accurately segments high-resolution images...
The goal of this research is to develop an algorithm that accurately segments high-resolution images...