BezierFormer: A Unified Architecture for 2D and 3D Lane Detection Article Swipe
Zhiwei Dong
,
Xi Zhu
,
Xiya Cao
,
Ran Ding
,
Wei Li
,
Caifa Zhou
,
Yongliang Wang
,
Qiangbo Liu
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2404.16304
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2404.16304
Lane detection has made significant progress in recent years, but there is not a unified architecture for its two sub-tasks: 2D lane detection and 3D lane detection. To fill this gap, we introduce BézierFormer, a unified 2D and 3D lane detection architecture based on Bézier curve lane representation. BézierFormer formulate queries as Bézier control points and incorporate a novel Bézier curve attention mechanism. This attention mechanism enables comprehensive and accurate feature extraction for slender lane curves via sampling and fusing multiple reference points on each curve. In addition, we propose a novel Chamfer IoU-based loss which is more suitable for the Bézier control points regression. The state-of-the-art performance of BézierFormer on widely-used 2D and 3D lane detection benchmarks verifies its effectiveness and suggests the worthiness of further exploration.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2404.16304
- https://arxiv.org/pdf/2404.16304
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4395686799
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4395686799Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2404.16304Digital Object Identifier
- Title
-
BezierFormer: A Unified Architecture for 2D and 3D Lane DetectionWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-04-25Full publication date if available
- Authors
-
Zhiwei Dong, Xi Zhu, Xiya Cao, Ran Ding, Wei Li, Caifa Zhou, Yongliang Wang, Qiangbo LiuList of authors in order
- Landing page
-
https://arxiv.org/abs/2404.16304Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2404.16304Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2404.16304Direct OA link when available
- Concepts
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Architecture, Computer science, Computer architecture, Geography, ArchaeologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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