Leveraging Vision-Based Point Cloud Map Priors for Camera-Based 3D Object Detection and Online Vectorized HD Mapping

arXiv:2609.26325 · cs.CV, cs.RO · Submitted 2026-09-22 · Read on arXiv

cs.CV, cs.RO

Submitted: 2026-09-22

Updated: 2026-09-22

Terminology

• Transformer — 5× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Aggregation — 3× in this paper · explained in 1 episode
• Alignment — 3× in this paper · explained in 1 episode
• Foundation Model — 2× in this paper · explained in 3 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Composite Detection Score — 1× in this paper
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Gaussian Splatting — 1× in this paper · explained in 4 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Optical Flow — 1× in this paper · explained in 2 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation
• Robust Autonomy Emerges from Self-Play
• BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
• Bridging Perspectives: Foundation Model Guided BEV Maps for 3D Object Detection and Tracking
• Sparse4D v3: Advancing End-to-End 3D Detection and Tracking
• Collaborative Learning of Local 3D Occupancy Prediction and Versatile Global Occupancy Mapping
• $\pi^3$: Permutation-Equivariant Visual Geometry Learning
• DINOv3
• ForecastOcc: Vision-based Semantic Occupancy Forecasting

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