Papers Online Vectorized HD Map Construction
“Online Vectorized HD Map Construction” 태그가 달린 논문 14편 · 필터 해제
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 ConstructionMemFusionMap: Working Memory Fusion for Online Vectorized HD Map Construction
High-definition (HD) maps provide environmental information for autonomous driving systems and are essential for safe planning. While existing methods with single-frame input achieve impressive performance for online vec…
Autonomous DrivingOnline Vectorized HD Map ConstructionPriorMapNet: Enhancing Online Vectorized HD Map Construction with Priors
Online vectorized High-Definition (HD) map construction is crucial for subsequent prediction and planning tasks in autonomous driving. Following MapTR paradigm, recent works have made noteworthy achievements. However, re…
Autonomous DrivingDecoderOnline Vectorized HD Map ConstructionPrevPredMap: Exploring Temporal Modeling with Previous Predictions for Online Vectorized HD Map Construction
Temporal information is crucial for detecting occluded instances. Existing temporal representations have progressed from BEV or PV features to more compact query features. Compared to these aforementioned features, predi…
DecoderOnline Vectorized HD Map ConstructionPositionMGMap: Mask-Guided Learning for Online Vectorized HD Map Construction
Currently, high-definition (HD) map construction leans towards a lightweight online generation tendency, which aims to preserve timely and reliable road scene information. However, map elements contain strong shape prior…
DecoderOnline Vectorized HD Map ConstructionMapNeXt: Revisiting Training and Scaling Practices for Online Vectorized HD Map Construction
High-Definition (HD) maps are pivotal to autopilot navigation. Integrating the capability of lightweight HD map construction at runtime into a self-driving system recently emerges as a promising direction. In this surge,…
Online Vectorized HD Map ConstructionOnline Vectorized HD Map Construction using Geometry
The construction of online vectorized High-Definition (HD) maps is critical for downstream prediction and planning. Recent efforts have built strong baselines for this task, however, shapes and relations of instances in …
Online Vectorized HD Map ConstructionMapTRv2: An End-to-End Framework for Online Vectorized HD Map Construction
High-definition (HD) map provides abundant and precise static environmental information of the driving scene, serving as a fundamental and indispensable component for planning in autonomous driving system. In this paper,…
Autonomous DrivingOnline Vectorized HD Map ConstructionMapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
High-definition (HD) map provides abundant and precise environmental information of the driving scene, serving as a fundamental and indispensable component for planning in autonomous driving system. We present MapTR, a s…
3D Lane DetectionAutonomous DrivingOnline Vectorized HD Map Construction