Online Vectorized HD Map Construction
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Benchmarks
nuScenes Camera Only
Most implemented
MapTRv2: An End-to-End Framework for Online Vectorized HD Map Construction
Uni-PrevPredMap: Extending PrevPredMap to a Unified Framework of Prior-Informed Modeling for Online Vectorized HD Map Construction
PrevPredMap: Exploring Temporal Modeling with Previous Predictions for Online Vectorized HD Map Construction
MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction
Online Vectorized HD Map Construction using Geometry
Papers
MapGCLR: Geospatial Contrastive Learning of Representations for Online Vectorized HD Map Construction
Autonomous vehicles rely on map information to understand the world around them. However, the creation and maintenance of offline high-definition (HD) maps remains costly. A more scalable alternative lies in online HD ma…
Online Vectorized HD Map ConstructionContrastive LearningAutonomous VehiclesNavMapFusion: Diffusion-based Fusion of Navigation Maps for Online Vectorized HD Map Construction
Accurate environmental representations are essential for autonomous driving, providing the foundation for safe and efficient navigation. Traditionally, high-definition (HD) maps are providing this representation of the s…
Online Vectorized HD Map ConstructionAutonomous DrivingMapDiffusion: Generative Diffusion for Vectorized Online HD Map Construction and Uncertainty Estimation in Autonomous Driving
Autonomous driving requires an understanding of the static environment from sensor data. Learned Bird's-Eye View (BEV) encoders are commonly used to fuse multiple inputs, and a vector decoder predicts a vectorized map re…
Online Vectorized HD Map ConstructionAutonomous VehiclesAutonomous DrivingMambaMap: Online Vectorized HD Map Construction using State Space Model
High-definition (HD) maps are essential for autonomous driving, as they provide precise road information for downstream tasks. Recent advances highlight the potential of temporal modeling in addressing challenges like oc…
Online Vectorized HD Map ConstructionComputational EfficiencyAutonomous DrivingUni-PrevPredMap: Extending PrevPredMap to a Unified Framework of Prior-Informed Modeling for Online Vectorized HD Map Construction
Safety constitutes a foundational imperative for autonomous driving systems, necessitating the maximal incorporation of accessible external prior information. This study establishes that temporal perception buffers and c…
Autonomous DrivingOnline Vectorized HD Map ConstructionUnveiling the Hidden: Online Vectorized HD Map Construction with Clip-Level Token Interaction and Propagation
Predicting and constructing road geometric information (e.g., lane lines, road markers) is a crucial task for safe autonomous driving, while such static map elements can be repeatedly occluded by various dynamic objects …
Autonomous DrivingOnline Vectorized HD Map Construction