Awesom high definition map methods collection with detailed interpretations of some key papers.
- StreamMapNet: Streaming Mapping Network for Vectorized Online HD Map Construction [code] WACV2024
- SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation [code] ICRA2024
- MapNeXt: Revisiting Training and Scaling Practices for Online Vectorized HD Map Construction Arxiv
- Stream Query Denoising for Vectorized HD Map Construction Arxiv
- EAN-MapNet: Efficient Vectorized HD Map Construction with Anchor Neighborhoods Arxiv
- HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction[code, not release] CVPR2024
- MapUncertaintyPrediction: Producing and Leveraging Online Map Uncertainty in Trajectory Prediction [code] CVPR2024
- MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction [code] CVPR2024
- MapVision: CVPR 2024 Autonomous Grand Challenge Mapless Driving Tech Report CVPR2024
- LGmap: Local-to-Global Mapping Network for Online Long-Range Vectorized HD Map Construction CVPR2024
- Leveraging SD Map to Assist the OpenLane Topology CVPRChallenge2024
- UniHDMap: Unified Lane Elements Detection for Topology HD Map Construction CVPRChallenge2024
- HybriMap: Hybrid Clues Utilization for Effective Vectorized HD Map Construction Arxiv
- MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping [code] ECCV2024 oral
- ADMap: Anti-disturbance framework for reconstructing online vectorized HD map [code] ECCV2024
- MapQR: Leveraging Enhanced Queries of Point Sets for Vectorized Map Construction [code] ECCV2024
- HRMapNet: Enhancing Vectorized Map Perception with Historical Rasterized Maps [code] ECCV2024
- MapBEVPrediction: Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention [code] ECCV2024
- Mask2Map: Vectorized HD Map Construction Using Bird’s Eye View Segmentation Masks [code ,not release] ECCV2024
- DTCLMapper: Dual Temporal Consistent Learning for Vectorized HD Map Construction [code] IEEE T-ITS2024
- PrevPredMap: Exploring Temporal Modeling with Previous Predictions for Online Vectorized HD Map Construction [code] WACV2025
- PriorMapNet: Enhancing Online Vectorized HD Map Construction with Priors Arxiv
- GNMap: Neural HD Map Generation from Multiple Vectorized Tiles Locally Produced by Autonomous Vehicles Arxiv
- Online Temporal Fusion for Vectorized Map Construction in Mapless Autonomous Driving Arxiv
- GenMapping: Unleashing the Potential of Inverse Perspective Mapping for Robust Online HD Map Construction Arxiv
- GlobalMapNet: An Online Framework for Vectorized Global HD Map Construction Arxiv
- ExelMap: Explainable Element-based HD-Map Change Detection and Update Arxiv(ECCV2024)
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VectorMapNet: End-to-end Vectorized HD Map Learning [code] ICML2023
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MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction [code] ICLR2023
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MapTRv2: An End-to-End Framework for Online Vectorized HD Map Construction [code] Arxiv
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MapVR: Online Map Vectorization for Autonomous Driving: A Rasterization Perspective[code1, code2] NIPS2023
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BeMapNet: End-to-End Vectorized HD-Map Construction With Piecewise Bezier Curve [code] CVPR2023
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PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction ICCV2023 [code] ICCV2023
- HDMapNet: An Online HD Map Construction and Evaluation Framework [code] ICRA2022,CVPR2021
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P-MapNet: Far-seeing Map Constructer Enhanced by both SDMap and HDMap Priors [code] ICLR2024 (reject)
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SatForHDMap: Complementing Onboard Sensors with Satellite Map: A New Perspective for HD Map Construction [code] ICRA2024
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Leveraging SD Map to Assist the OpenLane Topology CVPR2024
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MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation [code ,not release] ECCV2024
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Enhancing Online Road Network Perception and Reasoning with Standard Definition Maps Arxiv
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Driving with Prior Maps: Unified Vector Prior Encoding for Autonomous Vehicle Mapping Arxiv
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VAD: Vectorized Scene Representation for Efficient Autonomous Driving [code] ICCV2023 (MapTR同作)
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Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving? [code] CVPR2023 VAD -> BEV-Planner
- OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping [code] NeurIPS2023
- Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps [code] Arxiv
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Panacea: Panoramic and Controllable Video Generation for Autonomous Driving [code] CVPR2024
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Panacea+: Panoramic and Controllable Video Generation for Autonomous Driving [code] Arxiv
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CrowdSourcing Live High Definition Map via Collaborative Computation in Automotive Edge Computing T-VT2024
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VI-Map: Infrastructure-Assisted Real-Time HD Mapping for Autonomous Driving MobiCom2023
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Edgemap: Crowdsourcing high definition map in automotive edge computing ICC2022
算法 | 训练资源 | Modal |
---|---|---|
BEVFormer | 8 GPUs 后续较多工作都是基于BEVFormer,基本都是8卡起步 | c |
BEVDistill | 8 NVIDIA A100 GPUs | c+l |
HDMapNet | 这篇是属于分割方法论的,所以训练开销明显少一些,bs默认4 | c+l |
MapTR v1/v2 | 8 NVIDIA GeForce RTX 3090 GPUs | c+l |
MapDistill | 8 NVIDIA RTX A6000 GPUs | c+l -> c |
HRMapNet | 8 NVIDIA A100 GPUs bs 8 × 4 | c |
P-MapNet | 4 NVIDIA GeForce RTX 3090 GPUs,基于HDMapNet,所以开销也不高 | c+l |
SuperFusion | 1 NVIDIA A100-40G GPU bs 1x4,也是基于HDMapNet,只支持单卡训练 | c+l |
StreamMapNet | 8 GTX3090 GPUs bs 8x4 | c |
Mask2Map | 4 GTX3090 GPUs bs 4x4,效果提升有点夸张 | c+l |
DTCLMapper | 4 NVIDIA RTX A6000 bs 16 | c |
PrevPredMap | 4 NVIDIA A100 GPUs bs 4x4 | c |
https://github.com/LoveFaFa2333/Awesome-Online-HDMap