A curated list of awesome HD map construction methods. Inspired by awesome-self-supervised-learning.
Please help contribute this list by creating an issue or adding pull request. Markdown format:
- [Model Name] Paper Name.
[[pdf]](link)
[[code]](link)
- Author 1, Author 2, and Author 3. *Conference Year*
Machine learning assisted high-definition map creation. [pdf]
High definition maps in urban context. [pdf]
Creation of high definition map for autonomous driving. [pdf]
High definition map for automated driving: Overview and analysis. [pdf]
High-definition map update framework for intelligent autonomous transfer vehicles. [pdf]
On Construction and Applications of High-Definition (HD) Maps. [pdf]
High-definition map creation and update for autonomous driving. [pdf]
High definition map update for autonomous and connected vehicles: A survey. [pdf]
High-definition map generation technologies for autonomous driving: a review. [pdf]
A review of high-definition map creation methods for autonomous driving. [pdf]
High-definition maps: Comprehensive survey, challenges and future perspectives. [pdf]
High-Definition Maps Construction Based on Visual Sensor: A Comprehensive Survey. [pdf]
High precision map crowdsource update technology and SLAM technology-Application in autonomous driving. [pdf]
A Review of Crowdsourcing Update Methods for High-Definition Maps. [pdf]
On the Ecosystem of High-Definition (HD) Maps. [pdf]
High Definition Map Mapping and Update: A General Overview and Future Directions. [pdf]
[VectorMapNet] VectorMapNet: End-to-end Vectorized HD Map Learning. [pdf] [code]
[MapTR] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction. [pdf] [code]
[SuperFusion] SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation. [pdf] [code]
[InstaGraM] InstaGraM: Instance-level Graph Modeling for Vectorized HD Map Learning. [pdf]
[NMP] Neural Map Prior for Autonomous Driving. [pdf]
[MV-Map] MV-Map: Offboard HD-Map Generation with Multi-view Consistency. [pdf] [code]
[MapSeg] MapSeg: Segmentation guided structured model for online HD map construction. [pdf]
[BeMapNet] End-to-End Vectorized HD-Map Construction With Piecewise Bezier Curve. [pdf] [code]
[PolyDiffuse] PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models. [pdf] [code]
[NeMO] NeMO: Neural Map Growing System for Spatiotemporal Fusion in Bird's-Eye-View and BDD-Map Benchmark. [pdf]
[MachMap] MachMap: End-to-End Vectorized Solution for Compact HD-Map Construction. [pdf]
[MapVR] Online Map Vectorization for Autonomous Driving: A Rasterization Perspective. [pdf] [code]
[MapTRv2] MapTRv2: An End-to-End Framework for Online Vectorized HD Map Construction. [pdf] [code]
[InsightMapper] InsightMapper: A Closer Look at Inner-instance Information for Vectorized High-Definition Mapping. [pdf]
[StreamMapNet] Streammapnet: Streaming mapping network for vectorized online hd map construction. [pdf] [code]
[SatforHDMap] Complementing Onboard Sensors with Satellite Map: A New Perspective for HD Map Construction. [pdf] [code]
[PivotNet] PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction. [pdf]
[ScalableMap] ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map Construction. [pdf] [code]
[MapEX] Mind the map! Accounting for existing map information when estimating online HDMaps from sensor data. [pdf]
[GeMap] Online Vectorized HD Map Construction using Geometry. [pdf] [code]
[MapNeXt] MapNeXt: Revisiting Training and Scaling Practices for Online Vectorized HD Map Construction. [pdf]
[SQD-MapNet] Stream Query Denoising for Vectorized HD Map Construction. [pdf]
[ADMap] ADMap: Anti-disturbance framework for reconstructing online vectorized HD map. [pdf] [code]
[MapQR] Leveraging Enhanced Queries of Point Sets for Vectorized Map Construction. [pdf]
[EAN-MapNet] EAN-MapNet: Efficient Vectorized HD Map Construction with Anchor Neighborhoods. [pdf]
[HIMap] HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction. [pdf]
[PreSight] PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF Priors. [pdf]
[P-MapNet] P-MapNet: Far-seeing Map Generator Enhanced by both SDMap and HDMap Priors. [pdf] [code]
[Buffered Gaussian Modeling] Buffered Gaussian Modeling for Vectorized HD Map Construction. [pdf]
[MapTracker] MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping. [pdf] [code]
[MGMap] MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction. [pdf]
[SparseAD] SparseAD: Sparse Query-Centric Paradigm for Efficient End-to-End Autonomous Driving. [pdf]
[HybriMap] HybriMap: Hybrid Clues Utilization for Effective Vectorized HD Map Construction. [pdf]
[GNMap] Neural HD Map Generation from Multiple Vectorized Tiles Locally Produced by Autonomous Vehicles. [pdf]
[DTCLMapper] DTCLMapper: Dual Temporal Consistent Learning for Vectorized HD Map Construction. [pdf]
[POP-Net] Camera-based Online Vectorized HD Map Construction with Incomplete Observation. [pdf]
Exploring Real World Map Change Generalization of Prior-Informed HD Map Prediction Models. [pdf]
[MapVision] MapVision: CVPR 2024 Autonomous Grand Challenge Mapless Driving Tech Report. [pdf]
[MapBench] Is Your HD Map Constructor Reliable under Sensor Corruptions?. [pdf] [code]
[LGmap] LGmap: Local-to-Global Mapping Network for Online Long-Range Vectorized HD Map Construction. [pdf]
[MapBEVPrediction] Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention. [pdf] [code]
[Mask2Map] Vectorized HD Map Construction Using Bird's Eye View Segmentation Masks. [pdf]
[LaneDAG] LaneDAG: Automatic HD Map Topology Generator Based on Geometry and Attention Fusion Mechanism. [pdf]
[E-MLP] E-MLP: Effortless Online HD Map Construction with Linear Priors. [pdf]
[LaneMapNet] LaneMapNet: Lane Network Recognization and HD Map Construction Using Curve Region Aware Temporal Bird’s-Eye-View Perception. [pdf]
[UniHDMap] UniHDMap: Unified Lane Elements Detection for Topology HD Map Construction. [pdf]
[MapDistill] MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation. [pdf]
[PrevPredMap] PrevPredMap: Exploring Temporal Modeling with Previous Predictions for Online Vectorized HD Map Construction. [pdf]
Enhancing Online Road Network Perception and Reasoning with Standard Definition Maps. [pdf]
[HRMapNet] Enhancing Vectorized Map Perception with Historical Rasterized Maps. [pdf] [code]
[PriorMapNet] PriorMapNet: Enhancing Online Vectorized HD Map Construction with Priors. [pdf]
[HoMap] HoMap: End-to-End Vectorized HD Map Construction with High-order Modeling. [pdf]
[PriorDrive] Driving with Prior Maps: Unified Vector Prior Encoding for Autonomous Vehicle Mapping. [pdf]
[GenMapping] GenMapping: Unleashing the Potential of Inverse Perspective Mapping for Robust Online HD Map Construction. [pdf]
[GlobalMapNet] GlobalMapNet: An Online Framework for Vectorized Global HD Map Construction. [pdf] [code]
[ExelMap] ExelMap: Explainable Element-based HD-Map Change Detection and Update. [pdf]
Recruiting Heterogeneous Crowdsource Vehicles for Updating a High-Definition Map. [pdf]
Traffic Flow-Based Crowdsourced Mapping in Complex Urban Scenario. [pdf]
[THMA] THMA: tencent HD Map AI system for creating HD map annotations. [pdf]
[VMA] VMA: Divide-and-Conquer Vectorized Map Annotation System for Large-Scale Driving Scene. [pdf] [code]
Open HD map service model: an interoperable high-Definition map data model for autonomous driving. [pdf]
Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving. [pdf]
[FlexMap Fusion] FlexMap Fusion: Georeferencing and Automated Conflation of HD Maps with OpenStreetMap. [pdf] [code]
[3D-LaneNet] 3D-LaneNet: End-to-End 3D Multiple Lane Detection. [pdf]
[Gen-LaneNet] Gen-lanenet: A generalized and scalable approach for 3d lane detection. [pdf] [code]
[STSU] Structured Bird's-Eye-View Traffic Scene Understanding From Onboard Images. [pdf] [code]
[MapLite 2.0] MapLite 2.0: Online HD Map Inference Using a Prior SD Map. [pdf]
[V2HDM-Mono] V2HDM-Mono: A Framework of Building a Marking-Level HD Map with One or More Monocular Cameras. [pdf]
Clothoid-Based Reference Path Reconstruction for HD Map Generation. [pdf]
[MIM4D] MIM4D: Masked Modeling with Multi-View Video for Autonomous Driving Representation Learning [pdf] [code]
To the extent possible under law, Honminden (Anqi Shi) has waived all copyright and related or neighboring rights to this work.