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Found 3 papers, 3 papers with code
PointBeV: A Sparse Approach to BeV Predictions
To address this, we propose PointBeV, a novel sparse BeV segmentation model operating on sparse BeV cells instead of dense grids.
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation
Recent works in autonomous driving have widely adopted the bird's-eye-view (BEV) semantic map as an intermediate representation of the world.
Ranked #6 on
Bird's-Eye View Semantic Segmentation
on nuScenes
LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR
In such a monocular setup, dense depth is obtained with either additional input from one or several expensive LiDARs, e. g., with 64 beams, or camera-only methods, which suffer from scale-ambiguity and infinite-depth problems.
