Awesome-3D-Lane-Detection

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Awesome-3D-Lane-Detection

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Awesome 3D Lane Detection Paper List.

Awesome-3D-Lane-Detection 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# Awesome-3D-Lane-Detection
Awesome 3D Lane Detection Paper List.

## 2025       
 **Pub.** | **Title** | **Links** 
 :-: | :-  | :-: 
 **WACV** | HeightLane: BEV Heightmap guided 3D Lane Detection | [Paper](https://openaccess.thecvf.com/content/WACV2025/papers/Park_HeightLane_BEV_Heightmap_Guided_3D_Lane_Detection_WACV_2025_paper.pdf)/Code
## 2024       
 **Pub.** | **Title** | **Links** 
 :-: | :-  | :-: 
 **arxiv** | CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention | [Paper](https://arxiv.org/pdf/2402.06423.pdf)/Code
## 2023       
 **Pub.** | **Title** | **Links** 
 :-: | :-  | :-: 
 **ICCV** | LATR: 3D Lane Detection from Monocular Images with Transformer | [Paper](https://arxiv.org/pdf/2308.04583.pdf)/[Code](https://github.com/JMoonr/LATR)
 **CVPR** | BEV-LaneDet: a Simple and Effective 3D Lane Detection Baseline | [Paper](https://arxiv.org/pdf/2210.06006.pdf)/[Code](https://github.com/gigo-team/bev_lane_det)
 **CVPR** | Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection | [Paper](https://arxiv.org/abs/2301.02371)/[Code](https://github.com/tusen-ai/Anchor3DLane)
 **arxiv** | An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection | [Paper](https://arxiv.org/pdf/2306.04927.pdf)/Code
## 2022       
 **Pub.** | **Title** | **Links** 
 :-: | :-  | :-: 
 **CVPR** | ONCE-3DLanes: Building Monocular 3D Lane Detection | [Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Yan_ONCE-3DLanes_Building_Monocular_3D_Lane_Detection_CVPR_2022_paper.pdf)/[Code](https://github.com/once-3dlanes/once_3dlanes_benchmark)
 **ECCV** | PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark | [Paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136980539.pdf)/[Code](https://github.com/OpenPerceptionX/PersFormer_3DLane)
 **ICRA** | CurveFormer: 3D Lane Detection by Curve Propagation with Curve Queries and Attention | [Paper](https://openaccess.thecvf.com/content_ICCV_2019/papers/Garnett_3D-LaneNet_End-to-End_3D_Multiple_Lane_Detection_ICCV_2019_paper.pdf)/Code
 **ICRA** | WS-3D-Lane: Weakly Supervised 3D Lane Detection With 2D Lane Labels | [Paper](https://arxiv.org/pdf/2209.11523.pdf)/Code
 **BMVC** | Spatio-Temporal Fusion-based Monocular 3D Lane Detection | [Paper](https://bmvc2022.mpi-inf.mpg.de/0314.pdf)/Code
 **CVPRW** | Reconstruct from Top View: A 3D Lane Detection Approach based on Geometry Structure Prior | [Paper](https://openaccess.thecvf.com/content/CVPR2022W/WAD/papers/Li_Reconstruct_From_Top_View_A_3D_Lane_Detection_Approach_Based_CVPRW_2022_paper.pdf)/Code
 **arxiv** | M^2-3DLaneNet: Multi-Modal 3D Lane Detection | [Paper](https://arxiv.org/pdf/2209.05996.pdf)/Code

## 2020       
 **Pub.** | **Title** | **Links** 
 :-: | :-  | :-: 
 **ECCV** | Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection | [Paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123660664.pdf)/[Code](https://github.com/yuliangguo/Pytorch_Generalized_3D_Lane_Detection)
 **arxiv** | 3D-LaneNet+: Anchor Free Lane Detection using a Semi-Local Representation | [Paper](https://arxiv.org/pdf/2011.01535.pdf)/Code
 **arxiv** | Semi-Local 3D Lane Detection and Uncertainty Estimation | [Paper](https://arxiv.org/pdf/2003.05257.pdf)/Code

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