MapLightning: Online Vectorized HD Map Construction with 1D Map Tokens

arXiv:2610.01905 · cs.CV · Submitted 2026-10-01 · Read on arXiv

cs.CV

Submitted: 2026-10-01

Updated: 2026-10-01

Terminology

• Transformer — 22× in this paper · explained in 2 episodes
• Accuracy — 16× in this paper · explained in 1 episode
• Ablation — 8× in this paper · explained in 1 episode
• Embeddings — 7× in this paper · explained in 2 episodes
• Aggregation — 5× in this paper · explained in 1 episode
• Robustness — 5× in this paper · explained in 5 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• Layer Normalization
• Memory Transformer
• LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias
• MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
• Sparse4D v2: Recurrent Temporal Fusion with Sparse Model
• Decoupled Weight Decay Regularization
• MapRF: Weakly Supervised Online HD Map Construction via NeRF-Guided Self-Training
• On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks
• Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting
• Towards Efficient and Effective Multi-Camera Encoding for End-to-End Driving
• FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin
• DeepViT: Towards Deeper Vision Transformer
• Deformable DETR: Deformable Transformers for End-to-End Object Detection

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