Correcting Faulty Road Maps by Image Inpainting
- URL: http://arxiv.org/abs/2211.06544v3
- Date: Fri, 12 Jan 2024 08:05:49 GMT
- Title: Correcting Faulty Road Maps by Image Inpainting
- Authors: Soojung Hong, Kwanghee Choi
- Abstract summary: We introduce a novel image inpainting approach for fixing road maps with complex road geometries without custom-made geometries.
We demonstrate the effectiveness of our method on various real-world road geometries, such as straight and curvy roads, T-junctions, and intersections.
- Score: 6.1642231492615345
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: As maintaining road networks is labor-intensive, many automatic road
extraction approaches have been introduced to solve this real-world problem,
fueled by the abundance of large-scale high-resolution satellite imagery and
advances in computer vision. However, their performance is limited for fully
automating the road map extraction in real-world services. Hence, many services
employ the two-step human-in-the-loop system to post-process the extracted road
maps: error localization and automatic mending for faulty road maps. Our paper
exclusively focuses on the latter step, introducing a novel image inpainting
approach for fixing road maps with complex road geometries without custom-made
heuristics, yielding a method that is readily applicable to any road geometry
extraction model. We demonstrate the effectiveness of our method on various
real-world road geometries, such as straight and curvy roads, T-junctions, and
intersections.
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