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Published in 2021 at "Iete Journal of Research"
DOI: 10.1080/03772063.2021.1893228
Abstract: Building and road detection from the high-resolution remote sensing images has many applications in a wide range of areas including urban design, real-estate management, and disaster relief. Extrac...
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Keywords:
high resolution;
sensing images;
resolution remote;
building road ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2956725
Abstract: Road detection is a focus of research in the field of remote sensing image analysis. This task is normally difficult due to the complexity of the data, which are heterogeneous in appearance with large intra-class…
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Keywords:
neural network;
convolution;
road;
road detection ... See more keywords
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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3103755
Abstract: Vehicular cloud computing (VCC) has been widely utilized to enhance traffic management and road safety both in the static and dynamic scenarios. In VCC, the onboard resources of involved smart vehicles (SVs) would be integrated…
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Keywords:
road;
detection;
road detection;
smart vehicles ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3081774
Abstract: Road detection in remote sensing images has been an important research topic in the past few decades. However, with complex backgrounds and occlusion of vehicles and trees, it is difficult for most road detection methods…
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Keywords:
road;
remote sensing;
detection remote;
detection ... See more keywords
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Published in 2018 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2018.2809685
Abstract: Road detection is a key component of autonomous driving; however, most fully supervised learning road detection methods suffer from either insufficient training data or high costs of manual annotation. To overcome these problems, we propose…
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Keywords:
generative adversarial;
adversarial networks;
based generative;
road ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3129692
Abstract: Traditionally, road detection approaches mostly capitalize on RGB images, 3D LiDAR point cloud or their fusion. However, RGB camera is sensitive to light conditions, while LiDAR point cloud is sparse compared with dense image pixels.…
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Keywords:
rgb fir;
fusion;
road detection;
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Published in 2021 at "Optics letters"
DOI: 10.1364/ol.441817
Abstract: A long-wave infrared polarization imaging technique recently has been applied in full-time road detection. However, the existing heuristic method has the limitation of fully using the polarization information of the road. In this Letter, we…
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Keywords:
network;
road;
polarization guided;
polarization ... See more keywords
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Published in 2020 at "Photogrammetric Engineering and Remote Sensing"
DOI: 10.14358/pers.86.3.153
Abstract: Road detection in very-high-resolution remote sensing imagery is a hot research topic. However, the high resolution results in highly complex data distributions, which lead to much noise for road detection—for example, shadows and occlusions caused…
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Keywords:
high resolution;
road;
edge;
remote sensing ... See more keywords