BEV Segmentation
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Benchmarks
SimBEV
Most implemented
Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving
Cross-View Meets Diffusion: Aerial Image Synthesis with Geometry and Text Guidance
CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
DualDiff: Dual-branch Diffusion Model for Autonomous Driving with Semantic Fusion
Papers
CoDS: Robust Collaborative Perception via Expert-driven Detection and BEV Segmentation
Collaborative perception breaks through single-view limitations via multi-agent information exchange. However, multi-source noise such as pose errors and communication delays degrades fusion feature quality, constraining…
BEV SegmentationVariational Inference for Bird's Eye View Segmentation in Autonomous Driving
The bird's eye view (BEV) has emerged as a pivotal approach for environmental perception in autonomous driving, providing a unified spatial representation for vehicles. Nevertheless, despite BEV's significance in address…
Autonomous DrivingBEV SegmentationOpen-Vocabulary BEV Segmentation with 3D-Aware Geometric Constraints
Bird's-eye view (BEV) perception fuses multi-camera images into a unified top-down representation for autonomous driving. Despite recent progress, state-of-the-art methods remain confined to closed-set scenarios, making …
Autonomous DrivingBEV SegmentationGOLD-BEV: GrOund and aeriaL Data for Dense Semantic BEV Mapping of Dynamic Scenes
Understanding road scenes in a geometrically consistent, scene-centric representation is crucial for planning and mapping. We present GOLD-BEV, a framework that learns dense bird's-eye-view (BEV) semantic environment map…
BEV SegmentationFishRoPE: Projective Rotary Position Embeddings for Omnidirectional Visual Perception
Vision foundation models (VFMs) and Bird's Eye View (BEV) representation have advanced visual perception substantially, yet their internal spatial representations assume the rectilinear geometry of pinhole cameras. Fishe…
Autonomous VehiclesBEV SegmentationHorizonWeaver: Generalizable Multi-Level Semantic Editing for Driving Scenes
Ensuring safety in autonomous driving requires scalable generation of realistic, controllable driving scenes beyond what real-world testing provides. Yet existing instruction guided image editors, trained on object-centr…
Autonomous DrivingBEV Segmentation