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BEV Segmentation

Papers

Showing 125 of 44 papers

TitleStatusHype
MagicDrive: Street View Generation with Diverse 3D Geometry ControlCode3
PETRv2: A Unified Framework for 3D Perception from Multi-Camera ImagesCode3
Mask2Map: Vectorized HD Map Construction Using Bird's Eye View Segmentation MasksCode2
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large ObjectsCode2
MIM4D: Masked Modeling with Multi-View Video for Autonomous Driving Representation LearningCode2
CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse TransformersCode2
DualDiff: Dual-branch Diffusion Model for Autonomous Driving with Semantic FusionCode1
DualDiff+: Dual-Branch Diffusion for High-Fidelity Video Generation with Reward GuidanceCode1
Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous DrivingCode1
SegLocNet: Multimodal Localization Network for Autonomous Driving via Bird's-Eye-View SegmentationCode1
SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and DatasetCode1
CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object DetectionCode1
Cross-View Meets Diffusion: Aerial Image Synthesis with Geometry and Text GuidanceCode1
OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation NetworksCode1
Learning Ego 3D Representation as Ray TracingCode1
NRSeg: Noise-Resilient Learning for BEV Semantic Segmentation via Driving World ModelsCode0
4D-ROLLS: 4D Radar Occupancy Learning via LiDAR SupervisionCode0
RESAR-BEV: An Explainable Progressive Residual Autoregressive Approach for Camera-Radar Fusion in BEV Segmentation0
Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving0
Focus on BEV: Self-calibrated Cycle View Transformation for Monocular Birds-Eye-View Segmentation0
BEVal: A Cross-dataset Evaluation Study of BEV Segmentation Models for Autonomous DrivingCode0
MaskBEV: Towards A Unified Framework for BEV Detection and Map Segmentation0
Divide and Conquer: Improving Multi-Camera 3D Perception with 2D Semantic-Depth Priors and Input-Dependent Queries0
GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation0
OE-BevSeg: An Object Informed and Environment Aware Multimodal Framework for Bird's-eye-view Vehicle Semantic Segmentation0
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