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https://github.com/Honminden/awesome-hd-map-construction

A curated list of awesome HD map construction methods
https://github.com/Honminden/awesome-hd-map-construction
List: awesome-hd-map-construction
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A curated list of awesome HD map construction methods
Host: GitHub
URL: https://github.com/Honminden/awesome-hd-map-construction
Owner: Honminden
Created: 2023-11-30T06:06:36.000Z (10 months ago)
Default Branch: main
Last Pushed: 2024-05-21T11:44:59.000Z (4 months ago)
Last Synced: 2024-05-22T15:03:39.872Z (4 months ago)
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Stars: 38
Watchers: 3
Forks: 4
Open Issues: 0
Metadata Files:
- Readme: README.md
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ultimate-awesome - awesome-hd-map-construction - A curated list of awesome HD map construction methods. (Other Lists / PowerShell Lists)
README

        # awesome-hd-map-construction [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)

A curated list of awesome HD map construction methods. Inspired by [awesome-self-supervised-learning](https://github.com/jason718/awesome-self-supervised-learning).

## Contributing

Please help contribute this list by creating an issue or adding pull request.

Markdown format:

```markdown

- [Model Name] Paper Name. 

  [[pdf]](link) 

  [[code]](link)

  - Author 1, Author 2, and Author 3. *Conference Year*

```

## Table of Contents  

- [awesome-hd-map-construction ](#awesome-hd-map-construction-)

  - [Contributing](#contributing)

  - [Table of Contents](#table-of-contents)

  - [Survey](#survey)

    - [2018](#2018)

    - [2020](#2020)

    - [2021](#2021)

    - [2022](#2022)

    - [2023](#2023)

    - [2024](#2024)

  - [Online HD map construction](#online-hd-map-construction)

    - [2021](#2021-1)

    - [2022](#2022-1)

    - [2023](#2023-1)

    - [2024](#2024-1)

  - [HD map crowdsourcing](#hd-map-crowdsourcing)

    - [2017](#2017)

    - [2020](#2020-1)

    - [2023](#2023-2)

    - [2024](#2024-2)

  - [HD map construction with human efforts](#hd-map-construction-with-human-efforts)

  - [Lane detection](#lane-detection)

  - [Misc](#misc)

  - [News](#news)

  - [Talks](#talks)

  - [Blog](#blog)

  - [License](#license)

## Survey

### 2018

-   Machine learning assisted high-definition map creation.

    [[pdf]](https://ieeexplore.ieee.org/abstract/document/8377682)

    -   Jiao, Jialin. *COMPSAC 2018*

-   High definition maps in urban context.

    [[pdf]](https://dl.acm.org/doi/abs/10.1145/3231541.3231546)

    -   Zang, Andi and Chen, Xin and Trajcevski, Goce. *Sigspatial Special 2018*

### 2020

-   Creation of high definition map for autonomous driving.

    [[pdf]](https://isprs-archives.copernicus.org/articles/XLIII-B4-2020/415/2020/isprs-archives-XLIII-B4-2020-415-2020.pdf)

    -   Tsushima, F and Kishimoto, N and Okada, Y and Che, W. *The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2020*

-   High definition map for automated driving: Overview and analysis.

    [[pdf]](https://www.cambridge.org/core/journals/journal-of-navigation/article/high-definition-map-for-automated-driving-overview-and-analysis/7FFB4F68B9C27F4312AF8DCD553205FE)

    -   Liu, Rong and Wang, Jinling and Zhang, Bingqi. *The Journal of Navigation 2020*

### 2021

-   High-definition map update framework for intelligent autonomous transfer vehicles.

    [[pdf]](https://www.tandfonline.com/doi/full/10.1080/0952813X.2020.1789754)

    -   Tas, Muhammed Oguz and Yavuz, Hasan Serhan and Yazici, Ahmet. *Journal of Experimental & Theoretical Artificial Intelligence 2021*

-   On Construction and Applications of High-Definition (HD) Maps.

    [[pdf]](https://izenderi.github.io/pdfs/On_High_Definition__HD__Maps.pdf)

    -   Zhu, Yuanjie and Alrashid, Hussah and Bai, Song and Zhang, Chunhan and Zhang, Ziliang and Qu, Zhengyi and Magdy, Amr. *personal website 2021*

-   High-definition map creation and update for autonomous driving.

    [[pdf]](https://www.diva-portal.org/smash/get/diva2:1578797/FULLTEXT01.pdf)

    -   Xia, Wanru. *master thesis 2021*

### 2022

-   High definition map update for autonomous and connected vehicles: A survey.

    [[pdf]](https://ieeexplore.ieee.org/abstract/document/9825276)

    -   Boubakri, Anis and Gammar, Sonia METTALI and Brahim, Mohamed BEN and Filali, Fethi. *IWCMC 2022*

-   High-definition map generation technologies for autonomous driving: a review.

    [[pdf]](https://arxiv.org/ftp/arxiv/papers/2206/2206.05400.pdf)

    -   Bao, Zhibin and Hossain, Sabir and Lang, Haoxiang and Lin, Xianke. *arXiv 2022*

### 2023

-   A review of high-definition map creation methods for autonomous driving.

    [[pdf]](https://www.sciencedirect.com/science/article/abs/pii/S0952197623003093)

    -   Bao, Zhibin and Hossain, Sabir and Lang, Haoxiang and Lin, Xianke. *Engineering Applications of Artificial Intelligence 2023*

-   High-definition maps: Comprehensive survey, challenges and future perspectives.

    [[pdf]](https://ieeexplore.ieee.org/abstract/document/10184094)

    -   Elghazaly, Gamal and Frank, Raphaël and Harvey, Scott and Safko, Stefan. *IEEE Open Journal of Intelligent Transportation Systems 2023*

-   High-Definition Maps Construction Based on Visual Sensor: A Comprehensive Survey

    [[pdf]](https://ieeexplore.ieee.org/abstract/document/10336514)

    -   Tang, Xuewei and Jiang, Kun and Yang, Mengmeng and Liu, Zhaoyang and Jia, Peijin and Wijaya, Benny and Wen, Tuopu and Cui, Le and Yang, Diange. *IEEE Transactions on Intelligent Vehicles 2023*

### 2024

-   High precision map crowdsource update technology and SLAM technology-Application in autonomous driving

    [[pdf]](https://www.mdpi.com/2220-9964/13/3/104)

    -   Liu, Dapeng. *J. Phys.: Conf. Ser. 2024*

-   A Review of Crowdsourcing Update Methods for High-Definition Maps

    [[pdf]](https://www.mdpi.com/2220-9964/13/3/104)

    -   Guo, Yuan and Zhou, Jian and Li, Xicheng and Tang, Youchen and Lv, Zhicheng. *ISPRS Int. J. Geo-Inf. 2024*

-   On the Ecosystem of High-Definition (HD) Maps

    [[pdf]](https://ieeexplore.ieee.org/abstract/document/10555117)

    -   Zhuy, Yuanjie and Alrashid, Hussah and Bai, Song and Zhang, Chunhan and Zhang, Ziliang and Qu, Zhengyi and Ali, Reem Y and Magdy, Amr. *ICDEW 2024*

## Online HD map construction

### 2021

-   [HDMapNet] Hdmapnet: An online hd map construction and evaluation framework.

    [[pdf]](https://ieeexplore.ieee.org/abstract/document/9812383)

    [[code]](https://github.com/Tsinghua-MARS-Lab/HDMapNet)

    -   Li, Qi and Wang, Yue and Wang, Yilun and Zhao, Hang. *ICRA 2022*

### 2022

-   [VectorMapNet] VectorMapNet: End-to-end Vectorized HD Map Learning.

    [[pdf]](https://proceedings.mlr.press/v202/liu23ax/liu23ax.pdf)

    [[code]](https://github.com/Mrmoore98/VectorMapNet_code)

    -   Liu, Yicheng and Yuan, Tianyuan and Wang, Yue and Wang, Yilun and Zhao, Hang. *ICML 2023*

-   [MapTR] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction.

    [[pdf]](https://openreview.net/pdf?id=k7p_YAO7yE)

    [[code]](https://github.com/hustvl/MapTR)

    -   Liao, Bencheng and Chen, Shaoyu and Wang, Xinggang and Cheng, Tianheng, and Zhang, Qian and Liu, Wenyu and Huang, Chang. *ICLR 2023*

-   [SuperFusion] SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation.

    [[pdf]](https://arxiv.org/pdf/2211.15656.pdf)

    [[code]](https://github.com/haomo-ai/SuperFusion)

    -   Dong, Hao and Zhang, Xianjing and Xu, Jintao and Ai, Rui and Gu, Weihao and Lu, Huimin and Kannala, Juho and Chen, Xieyuanli. *arXiv 2022*

### 2023

-   [InstaGraM] InstaGraM: Instance-level Graph Modeling for Vectorized HD Map Learning.

    [[pdf]](https://arxiv.org/pdf/2301.04470.pdf)

    -   Shin, Juyeb and Rameau, Francois and Jeong, Hyeonjun and Kum, Dongsuk. *arXiv 2023*

-   [NMP] Neural Map Prior for Autonomous Driving.

    [[pdf]](https://openaccess.thecvf.com/content/CVPR2023/papers/Xiong_Neural_Map_Prior_for_Autonomous_Driving_CVPR_2023_paper.pdf)

    -   Xiong, Xuan and Liu, Yicheng and Yuan, Tianyuan and Wang, Yue and Wang, Yilun and Zhao, Hang. *CVPR 2023*

-   [MV-Map] MV-Map: Offboard HD-Map Generation with Multi-view Consistency.

    [[pdf]](https://openaccess.thecvf.com/content/ICCV2023/papers/Xie_MV-Map_Offboard_HD-Map_Generation_with_Multi-view_Consistency_ICCV_2023_paper.pdf)

    [[code]](https://github.com/ZiYang-xie/MV-Map)

    -   Xie, Ziyang and Pang, Ziqi and Wang, Yu-Xiong. *ICCV 2023*

-   [MapSeg] MapSeg: Segmentation guided structured model for online HD map construction.

    [[pdf]](https://arxiv.org/pdf/2311.02503.pdf)

    -   Jiang, Mingchao and Cheng, Yin and Liu, Linghai. *arXiv 2023*

-   [BeMapNet] End-to-End Vectorized HD-Map Construction With Piecewise Bezier Curve.

    [[pdf]](https://openaccess.thecvf.com/content/CVPR2023/papers/Qiao_End-to-End_Vectorized_HD-Map_Construction_With_Piecewise_Bezier_Curve_CVPR_2023_paper.pdf)

    [[code]](https://github.com/er-muyue/BeMapNet)

    -   Qiao, Limeng and Ding, Wenjie and Qiu, Xi and Zhang, Chi. *CVPR 2023*

-   [PolyDiffuse] PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models.

    [[pdf]](https://proceedings.neurips.cc/paper_files/paper/2023/file/05f0e2fa003602db2d98ca72b79dec51-Paper-Conference.pdf)

    [[code]](https://github.com/woodfrog/poly-diffuse)

    -   Chen, Jiacheng and Deng, Ruizhi and Furukawa, Yasutaka. *NeurIPS 2023*

-   [NeMO] NeMO: Neural Map Growing System for Spatiotemporal Fusion in Bird's-Eye-View and BDD-Map Benchmark.

    [[pdf]](https://arxiv.org/pdf/2306.04540)

    -   Zhu, Xi and Cao, Xiya and Dong, Zhiwei and Zhou, Caifa and Liu, Qiangbo and Li, Wei and Wang, Yongliang. *arXiv 2023*

-   [MachMap] MachMap: End-to-End Vectorized Solution for Compact HD-Map Construction.

    [[pdf]](https://arxiv.org/pdf/2306.10301.pdf)

    -   Qiao, Limeng and Zheng, Yongchao and Zhang, Peng and Ding, Wenjie and Qiu, Xi and Wei, Xing and Zhang, Chi. *arXiv 2023*

-   [MapVR] Online Map Vectorization for Autonomous Driving: A Rasterization Perspective.

    [[pdf]](https://arxiv.org/pdf/2306.10502.pdf)

    [[code]](https://github.com/ZhangGongjie/MapVR)

    -   Zhang, Gongjie and Lin, Jiahao and Wu, Shuang and Song, Yilin and Luo, Zhipeng and Xue, Yang and Lu, Shijian and Wang, Zuoguan. *NeurIPS 2023*

-   [MapTRv2] MapTRv2: An End-to-End Framework for Online Vectorized HD Map Construction.

    [[pdf]](https://arxiv.org/pdf/2308.05736.pdf)

    [[code]](https://github.com/hustvl/MapTR)

    -   Liao, Bencheng and Chen, Shaoyu and Zhang, Yunchi and Jiang, Bo and Zhang, Qian and Liu, Wenyu and Huang, Chang and Wang, Xinggang. *arXiv 2023*

-   [InsightMapper] InsightMapper: A Closer Look at Inner-instance Information for Vectorized High-Definition Mapping.

    [[pdf]](https://arxiv.org/pdf/2308.08543.pdf)

    -   Xu, Zhenhua and Wong, Kenneth KY and Zhao, Hengshuang. *arXiv 2023*

-   [StreamMapNet] Streammapnet: Streaming mapping network for vectorized online hd map construction.

    [[pdf]](https://arxiv.org/pdf/2308.12570.pdf)

    [[code]](https://github.com/yuantianyuan01/StreamMapNet)

    -   Yuan, Tianyuan and Liu, Yicheng and Wang, Yue and Wang, Yilun and Zhao, Hang. *WACV 2024*

-   [SatforHDMap] Complementing Onboard Sensors with Satellite Map: A New Perspective for HD Map Construction.

    [[pdf]](https://arxiv.org/pdf/2308.15427.pdf)

    [[code]](https://github.com/xjtu-cs-gao/SatforHDMap)

    -   Gao, Wenjie and Fu, Jiawei and Jing, Haodong and Zheng, Nanning. *arXiv 2023*

-   [PivotNet] PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction.

    [[pdf]](https://openaccess.thecvf.com/content/ICCV2023/papers/Ding_PivotNet_Vectorized_Pivot_Learning_for_End-to-end_HD_Map_Construction_ICCV_2023_paper.pdf)

    -   Ding, Wenjie and Qiao, Limeng and Qiu, Xi and Zhang, Chi. *ICCV 2023*

-   [ScalableMap] ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map Construction.

    [[pdf]](https://arxiv.org/pdf/2310.13378.pdf)

    [[code]](https://github.com/jingy1yu/ScalableMap)

    -   Yu, Jingyi and Zhang, Zizhao and Xia, Shengfu and Sang, Jizhang. *CoRL 2023*

-   [MapEX] Mind the map! Accounting for existing map information when estimating online HDMaps from sensor data.

    [[pdf]](https://arxiv.org/pdf/2311.10517.pdf)

    -   Sun, Rémy and Yang, Li and Lingrand, Diane and Precioso, Frédéric. *arXiv 2023*

-   [GeMap] Online Vectorized HD Map Construction using Geometry.

    [[pdf]](https://arxiv.org/pdf/2312.03341.pdf)

    [[code]](https://github.com/cnzzx/GeMap)

    -   Zhixin Zhang and Yiyuan Zhang and Xiaohan Ding and Fusheng Jin and Xiangyu Yue. *arXiv 2023*

### 2024

-   [MapNeXt] MapNeXt: Revisiting Training and Scaling Practices for Online Vectorized HD Map Construction.

    [[pdf]](https://arxiv.org/pdf/2401.07323.pdf)

    -   Li, Toyota. *arXiv 2024*

-   [SQD-MapNet] Stream Query Denoising for Vectorized HD Map Construction.

    [[pdf]](https://arxiv.org/pdf/2401.09112.pdf)

    -   Wang, Shuo and Jia, Fan and Liu, Yingfei and Zhao, Yucheng and Chen, Zehui and Wang, Tiancai and Zhang, Chi and Zhang, Xiangyu and Zhao, Feng. *arXiv 2024*

-   [ADMap] ADMap: Anti-disturbance framework for reconstructing online vectorized HD map.

    [[pdf]](https://arxiv.org/pdf/2401.13172.pdf)

    [[code]](https://github.com/hht1996ok/ADMap)

    -   Hu, Haotian and Wang, Fanyi and Wang, Yaonong and Hu, Laifeng and Xu, Jingwei and Zhang, Zhiwang. *arXiv 2024*

-   [MapQR] Leveraging Enhanced Queries of Point Sets for Vectorized Map Construction.

    [[pdf]](https://arxiv.org/pdf/2402.17430.pdf)

    -   Liu, Zihao and Zhang, Xiaoyu and Liu, Guangwei and Zhao, Ji and Xu, Ningyi. *arXiv 2024*

-   [EAN-MapNet] EAN-MapNet: Efficient Vectorized HD Map Construction with Anchor Neighborhoods.

    [[pdf]](https://arxiv.org/pdf/2402.18278.pdf)

    -   Xiong, Huiyuan and Shen, Jun and Zhu, Taohong and Pan, Yuelong. *arXiv 2024*

-   [HIMap] HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction.

    [[pdf]](https://arxiv.org/pdf/2403.08639.pdf)

    -   Zhou, Yi and Zhang, Hui and Yu, Jiaqian and Yang, Yifan and Jung, Sangil and Park, Seung-In and Yoo, ByungIn. *CVPR 2024*

-   [PreSight] PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF Priors.

    [[pdf]](https://arxiv.org/pdf/2403.09079.pdf)

    -   Yuan, Tianyuan and Mao, Yucheng and Yang, Jiawei and Liu, Yicheng and Wang, Yue and Zhao, Hang. *arXiv 2024*

-   [P-MapNet] P-MapNet: Far-seeing Map Generator Enhanced by both SDMap and HDMap Priors.

    [[pdf]](https://arxiv.org/pdf/2403.10521.pdf)

    [[code]](https://github.com/jike5/P-MapNet)

    -   Jiang, Zhou and Zhu, Zhenxin and Li, Pengfei and Gao, Huan-ang and Yuan, Tianyuan and Shi, Yongliang and Zhao, Hang and Zhao, Hao. *arXiv 2024*

-   [Buffered Gaussian Modeling] Buffered Gaussian Modeling for Vectorized HD Map Construction.

    [[pdf]](https://ieeexplore.ieee.org/document/10445925)

    -   Shi, Anqi and Chen, Huaqiu and Lu, Hong and Zhang, Rui. *ICASSP 2024*

-   [MapTracker] MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping.

    [[pdf]](https://arxiv.org/pdf/2403.15951.pdf)

    [[code]](https://github.com/woodfrog/maptracker)

    -   Chen, Jiacheng and Wu, Yuefan and Tan, Jiaqi and Ma, Hang and Furukawa, Yasutaka. *arXiv 2024*

-   [MGMap] MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction.

    [[pdf]](https://arxiv.org/pdf/2404.00876.pdf)

    -   Liu, Xiaolu and Wang, Song and Li, Wentong and Yang, Ruizi and Chen, Junbo and Zhu, Jianke. *arXiv 2024*

-   [SparseAD] SparseAD: Sparse Query-Centric Paradigm for Efficient End-to-End Autonomous Driving.

    [[pdf]](https://arxiv.org/pdf/2404.06892.pdf)

    -   Zhang, Diankun and Wang, Guoan and Zhu, Runwen and Zhao, Jianbo and Chen, Xiwu and Zhang, Siyu and Gong, Jiahao and Zhou, Qibin and Zhang, Wenyuan and Wang, Ningzi and others. *arXiv 2024*

-   [HybriMap] HybriMap: Hybrid Clues Utilization for Effective Vectorized HD Map Construction.

    [[pdf]](https://arxiv.org/pdf/2404.11155.pdf)

    -   Zhang, Chi and Song, Qi and Li, Feifei and Chen, Yongquan and Huang, Rui. *arXiv 2024*

-   [GNMap] Neural HD Map Generation from Multiple Vectorized Tiles Locally Produced by Autonomous Vehicles.

    [[pdf]](https://link.springer.com/chapter/10.1007/978-981-97-2966-1_22)

    -   Fan, Miao and Yao, Yi and Zhang, Jianping and Song, Xiangbo and Wu, Daihui. *SpatialDI 2024*

-   [DTCLMapper] DTCLMapper: Dual Temporal Consistent Learning for Vectorized HD Map Construction.

    [[pdf]](https://arxiv.org/pdf/2405.05518)

    -   Li, Siyu and Lin, Jiacheng and Shi, Hao and Zhang, Jiaming and Wang, Song and Yao, You and Li, Zhiyong and Yang, Kailun. *arXiv 2024*

-   [POP-Net] Camera-based Online Vectorized HD Map Construction with Incomplete Observation.

    [[pdf]](https://ieeexplore.ieee.org/abstract/document/10542214)

    -   Liu, Hui and Chang, Faliang and Liu, Chunsheng and Lu, Yansha and Liu, Minhang. *IEEE Robotics and Automation Letters 2024*

-   Exploring Real World Map Change Generalization of Prior-Informed HD Map Prediction Models.

    [[pdf]](https://openaccess.thecvf.com/content/CVPR2024W/WAD/papers/Bateman_Exploring_Real_World_Map_Change_Generalization_of_Prior-Informed_HD_Map_CVPRW_2024_paper.pdf)

    -   Bateman, Samuel M and Xu, Ning and Zhao, H Charles and Ben Shalom, Yael and Gong, Vince and Long, Greg and Maddern, Will. *CVPR 2024 Workshops*

-   [MapVision] MapVision: CVPR 2024 Autonomous Grand Challenge Mapless Driving Tech Report.

    [[pdf]](https://arxiv.org/pdf/2406.10125)

    -   Yang, Zhongyu and Liu, Mai and Xie, Jinluo and Zhang, Yueming and Shen, Chen and Shao, Wei and Jiao, Jichao and Xing, Tengfei and Hu, Runbo and Xu, Pengfei. *arXiv 2024*

-   [MapBench] Is Your HD Map Constructor Reliable under Sensor Corruptions?.

    [[pdf]](https://mapbench.github.io/paper.pdf)

    [[code]](https://github.com/mapbench/toolkit)

    -   Hao, Xiaoshuai and Wei, Mengchuan and Yang, Yifan and Zhao, Haimei and Zhang, Hui and Zhou, Yi and Wang, Qiang and Li, Weiming and Kong, Lingdong and Zhang, Jing. *arXiv 2024*

-   [LGmap] LGmap: Local-to-Global Mapping Network for Online Long-Range Vectorized HD Map Construction.

    [[pdf]](https://arxiv.org/pdf/2406.13988)

    -   Wu, Kuang and Nian, Sulei and Shen, Can and Yang, Chuan and Li, Zhanbin. *arXiv 2024*

-   [MapBEVPrediction] Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention.

    [[pdf]](https://arxiv.org/pdf/2407.06683)

    [[code]](https://github.com/alfredgu001324/MapBEVPrediction)

    -   Gu, Xunjiang and Song, Guanyu and Gilitschenski, Igor and Pavone, Marco and Ivanovic, Boris. *arXiv 2024*

-   [Mask2Map] Vectorized HD Map Construction Using Bird's Eye View Segmentation Masks.

    [[pdf]](https://arxiv.org/pdf/2407.13517)

    -   Choi, Sehwan and Kim, Jungho and Shin, Hongjae and Choi, Jun Won. *arXiv 2024*

-   [LaneDAG] LaneDAG: Automatic HD Map Topology Generator Based on Geometry and Attention Fusion Mechanism.

    [[pdf]](https://ieeexplore.ieee.org/abstract/document/10588515)

    -   Jia, Peijin and Wen, Tuopu and Luo, Ziang and Fu, Zheng and Liao, Jiaqi and Chen, Huixian and Jiang, Kun and Yang, Mengmeng and Yang, Diange. *IEEE Intelligent Vehicles Symposium 2024*

-   [E-MLP] E-MLP: Effortless Online HD Map Construction with Linear Priors.

    [[pdf]](https://ieeexplore.ieee.org/abstract/document/10588612)

    -   Li, Ruikai and Shan, Hao and Jiang, Han and Xiao, Jianru and Chang, Yizhuo and He, Yifan and Yu, Haiyang and Ren, Yilong. *IEEE Intelligent Vehicles Symposium 2024*

-   [LaneMapNet] LaneMapNet: Lane Network Recognization and HD Map Construction Using Curve Region Aware Temporal Bird’s-Eye-View Perception.

    [[pdf]](https://ieeexplore.ieee.org/abstract/document/10588419)

    -   Zhu, Tianyi and Leng, Jianghao and Zhong, Jiaru and Zhang, Zhang and Sun, Chao. *IEEE Intelligent Vehicles Symposium 2024*

-   [UniHDMap] UniHDMap: Unified Lane Elements Detection for Topology HD Map Construction.

    [[pdf]](https://opendrivelab.github.io/Challenge%202024/mapless_CrazyFriday.pdf)

    -   ZKou, Genghua and Jia, Fan and Wu, Dongming and Liu, Yingfei and Li, Ying and Wang, Tiancai. *personal website 2024*

-   [MapDistill] MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation.

    [[pdf]](https://arxiv.org/pdf/2407.11682)

    -   Hao, Xiaoshuai and Li, Ruikai and Zhang, Hui and Li, Dingzhe and Yin, Rong and Jung, Sangil and Park, Seung-In and Yoo, ByungIn and Zhao, Haimei and Zhang, Jing. *arXiv 2024*

-   [PrevPredMap] PrevPredMap: Exploring Temporal Modeling with Previous Predictions for Online Vectorized HD Map Construction.

    [[pdf]](https://arxiv.org/pdf/2407.17378)

    -   Peng, Nan and Zhou, Xun and Wang, Mingming and Yang, Xiaojun and Chen, Songming and Chen, Guisong. *arXiv 2024*

-   Enhancing Online Road Network Perception and Reasoning with Standard Definition Maps.

    [[pdf]](https://arxiv.org/pdf/2408.01471)

    -   Zhang, Hengyuan and Paz, David and Guo, Yuliang and Das, Arun and Huang, Xinyu and Haug, Karsten and Christensen, Henrik I and Ren, Liu. *IROS 2024*

## HD map crowdsourcing

### 2017

-   An end-to-end system for crowdsourced 3D maps for autonomous vehicles: The mapping component.

    [[pdf]](https://ieeexplore.ieee.org/abstract/document/8202218)

    -   Dabeer, Onkar and Ding, Wei and Gowaiker, Radhika and Grzechnik, Slawomir K and Lakshman, Mythreya J and Lee, Sean and Reitmayr, Gerhard and Sharma, Arunandan and Somasundaram, Kiran and Sukhavasi, Ravi Teja and others. *IROS 2017*

### 2020

-   Crowdsourced 3D mapping: a combined multi-view geometry and self-supervised learning approach.

    [[pdf]](https://ieeexplore.ieee.org/abstract/document/9341243)

    -   Chawla, Hemang and Jukola, Matti and Brouns, Terence and Arani, Elahe and Zonooz, Bahram. *IROS 2020*

### 2023

-   Recruiting Heterogeneous Crowdsource Vehicles for Updating a High-Definition Map.

    [[pdf]](https://ieeexplore.ieee.org/abstract/document/10349885)

    -   Ye, Wentao and Luo, Yuan and Liu, Bo and Huang, Jianwei. *WiOpt 2023*

-   Traffic Flow-Based Crowdsourced Mapping in Complex Urban Scenario.

    [[pdf]](https://ieeexplore.ieee.org/abstract/document/10171417)

    -   Qin, Tong and Huang, Haihui and Wang, Ziqiang and Chen, Tongqing and Ding, Wenchao. *IEEE Robotics and Automation Letters 2023*

### 2024

-   [MapCVV] MapCVV: On-cloud Map Construction Using Crowdsourcing Visual Vectorized Elements towards Autonomous Driving.

    [[pdf]](https://ieeexplore.ieee.org/abstract/document/10517387)

    -   Chen, Pengxin and Jiang, Xiaoqi and Zhang, Yingjun and Tan, Jiahao and Jiang, Rong. *IEEE Robotics and Automation Letters 2024*

## HD map construction with human efforts

-   [THMA] THMA: tencent HD Map AI system for creating HD map annotations.

    [[pdf]](https://ojs.aaai.org/index.php/AAAI/article/view/26848)

    -  Tang, Kun and Cao, Xu and Cao, Zhipeng and Zhou, Tong and Li, Erlong and Liu, Ao and Zou, Shengtao and Liu, Chang and Mei, Shuqi and Sizikova, Elena and others. *AAAI 2023*

-   [VMA] VMA: Divide-and-Conquer Vectorized Map Annotation System for Large-Scale Driving Scene.

    [[pdf]](https://arxiv.org/pdf/2304.09807.pdf)

    [[code]](https://github.com/hustvl/VMA)

    -   Chen, Shaoyu and Zhang, Yunchi and Liao, Bencheng and Xie, Jiafeng and Cheng, Tianheng and Sui, Wei and Zhang, Qian and Huang, Chang and Liu, Wenyu and Wang, Xinggang. *arXiv 2023*

-   Open HD map service model: an interoperable high-Definition map data model for autonomous driving.

    [[pdf]](https://www.tandfonline.com/doi/full/10.1080/17538947.2023.2220615)

    -  Zhang, Fengyuan and Shi, Wenzhong and Chen, Min and Huang, Wei and Liu, Xintao. *International Journal of Digital Earth 2023*

-   Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving.

    [[pdf]](https://arxiv.org/pdf/2311.01823.pdf)

    -   Sauerbeck, Florian and Kulmer, Dominik and Pielmeier, Markus and Leitenstern, Maximilian and Wei{\ss}, Christoph and Betz, Johannes. 2023 IEEE SENSORS*

-   [FlexMap Fusion] FlexMap Fusion: Georeferencing and Automated Conflation of HD Maps with OpenStreetMap.

    [[pdf]](https://arxiv.org/pdf/2404.11155.pdf)

    [[code]](https://github.com/TUMFTM/FlexMap_Fusion)

    -   Leitenstern, Maximilian and Sauerbeck, Florian and Kulmer, Dominik and Betz, Johannes. *arXiv 2024*

## Lane detection

-   [3D-LaneNet] 3D-LaneNet: End-to-End 3D Multiple Lane Detection.

    [[pdf]](https://openaccess.thecvf.com/content_ICCV_2019/papers/Garnett_3D-LaneNet_End-to-End_3D_Multiple_Lane_Detection_ICCV_2019_paper.pdf)

    -   Garnett, Noa and Cohen, Rafi and Pe'er, Tomer and Lahav, Roee and Levi, Dan. *ICCV 2019*

-   [Gen-LaneNet] Gen-lanenet: A generalized and scalable approach for 3d lane detection.

    [[pdf]](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123660664.pdf)

    [[code]](https://github.com/yuliangguo/Pytorch_Generalized_3D_Lane_Detection)

    -   Guo, Yuliang and Chen, Guang and Zhao, Peitao and Zhang, Weide and Miao, Jinghao and Wang, Jingao and Choe, Tae Eun. *ECCV 2020*

-   [STSU] Structured Bird's-Eye-View Traffic Scene Understanding From Onboard Images.

    [[pdf]](https://openaccess.thecvf.com/content/ICCV2021/papers/Can_Structured_Birds-Eye-View_Traffic_Scene_Understanding_From_Onboard_Images_ICCV_2021_paper.pdf)

    [[code]](https://github.com/ybarancan/STSU)

    -   Can, Yigit Baran and Liniger, Alexander and Paudel, Danda Pani and Van Gool, Luc. *ICCV 2021*

## Misc

-   [MapLite 2.0] MapLite 2.0: Online HD Map Inference Using a Prior SD Map.

    [[pdf]](https://ieeexplore.ieee.org/abstract/document/9807400)

    -   Ort, Teddy and Walls, Jeffrey M. and Parkison, Steven A. and Gilitschenski, Igor and Rus, Daniela. *IEEE Robotics and Automation Letters 2022*

-   [V2HDM-Mono] V2HDM-Mono: A Framework of Building a Marking-Level HD Map with One or More Monocular Cameras.

    [[pdf]](https://arxiv.org/pdf/2209.07737.pdf)

    -   Liu, Hongji and Zheng, Linwei and Yan, Xiaoyang and Xu, Zhenhua and Xue, Bohuan and Yu, Yang and Liu, Ming. *arXiv 2022*

-   Clothoid-Based Reference Path Reconstruction for HD Map Generation.

    [[pdf]](https://ieeexplore.ieee.org/abstract/document/10229966)

    -   Zhang, Songyi and Wang, Runsheng and Jian, Zhiqiang and Zhan, Wei and Zheng, Nanning and Tomizuka, Masayoshi. *IEEE Transactions on Intelligent Transportation Systems 2023*

-   [MIM4D] MIM4D: Masked Modeling with Multi-View Video for Autonomous Driving Representation Learning

    [[pdf]](https://arxiv.org/pdf/2403.08760.pdf)

    [[code]](https://github.com/hustvl/MIM4D)

    -   Zou, Jialv and Liao, Bencheng and Zhang, Qian and Liu, Wenyu and Wang, Xinggang. *arXiv 2024*

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To the extent possible under law, [Honminden (Anqi Shi)](https://honminden.github.io/) has waived all copyright and related or neighboring rights to this work.