Fully Convolutional One-Stage 3DObject Detection on LiDARRange Images
–Neural Information Processing Systems
We present a simple yet effective fully convolutional one-stage 3D object detector for LiDAR point clouds of autonomous driving scenes, termed FCOS-LiDAR. Unlike the dominant methods that use the bird-eye view (BEV), our proposed detector detects objects from the range view (RV, a.k.a.
Neural Information Processing Systems
Apr-28-2026, 04:23:05 GMT
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- Transportation > Ground
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- Information Technology > Artificial Intelligence
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- Robots > Autonomous Vehicles (0.49)
- Information Technology > Artificial Intelligence