Abstract:
Road information extraction based purely on remote sensing can be affected by occlusions of the road surface caused by trees, shadows, and buildings. We propose a multimo...Show MoreMetadata
Abstract:
Road information extraction based purely on remote sensing can be affected by occlusions of the road surface caused by trees, shadows, and buildings. We propose a multimodal fusion method that addresses road extraction and road width estimation by combining aerial imagery, monocular images taken at ground level (street-level), and geospatial data (Open-StreetMap). The method combines semantic segmentation through convolutional neural networks, Voronoi diagram processing, and graph matching.
Date of Conference: 11-16 July 2021
Date Added to IEEE Xplore: 12 October 2021
ISBN Information:
ISSN Information:
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- IEEE Keywords
- Index Terms
- Aerial Images ,
- Geospatial Data ,
- Road Width ,
- Width Estimation ,
- Road Extraction ,
- Convolutional Neural Network ,
- Road Surface ,
- Ground Level ,
- Semantic Segmentation ,
- Fusion Method ,
- Voronoi Diagram ,
- Graph Matching ,
- Monocular Images ,
- Road Information ,
- High-resolution ,
- Spatial Resolution ,
- Performance Of Algorithm ,
- Geographic Information System ,
- Undirected ,
- OpenStreetMap Data ,
- Average Relative Error ,
- Google Street View ,
- Road Network ,
- Road Segments ,
- Deep Convolutional Neural Network ,
- Tree Canopy ,
- Very High Resolution ,
- Image Ground
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Aerial Images ,
- Geospatial Data ,
- Road Width ,
- Width Estimation ,
- Road Extraction ,
- Convolutional Neural Network ,
- Road Surface ,
- Ground Level ,
- Semantic Segmentation ,
- Fusion Method ,
- Voronoi Diagram ,
- Graph Matching ,
- Monocular Images ,
- Road Information ,
- High-resolution ,
- Spatial Resolution ,
- Performance Of Algorithm ,
- Geographic Information System ,
- Undirected ,
- OpenStreetMap Data ,
- Average Relative Error ,
- Google Street View ,
- Road Network ,
- Road Segments ,
- Deep Convolutional Neural Network ,
- Tree Canopy ,
- Very High Resolution ,
- Image Ground
- Author Keywords