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Lane Segmentation Refinement with Diffusion Models
May 2, 2024, 4:45 a.m. | Antonio Ruiz, Andrew Melnik, Dong Wang, Helge Ritter
cs.CV updates on arXiv.org arxiv.org
Abstract: The lane graph is a key component for building high-definition (HD) maps and crucial for downstream tasks such as autonomous driving or navigation planning. Previously, He et al. (2022) explored the extraction of the lane-level graph from aerial imagery utilizing a segmentation based approach. However, segmentation networks struggle to achieve perfect segmentation masks resulting in inaccurate lane graph extraction. We explore additional enhancements to refine this segmentation-based approach and extend it with a diffusion probabilistic …
abstract aerial arxiv autonomous autonomous driving building cs.cv definition diffusion diffusion models driving extraction graph however key maps navigation networks planning segmentation struggle tasks type
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