To address missed detections of distant sparse objects in LiDAR 3D detection and inference latency on edge devices, we propose GD-Pillars, a lightweight algorithm. First, a Geometry and Density-Aware Pillar Feature Encoding (GD-PFE) network enhances local geometric descriptions and compensates for sparse target feature...
Yue Zhang, Qing-Hua Zeng, Fang-Dong Li et al.· Journal of Physics, Conferen...· 0 citations
After dataset-specific training and evaluation on the markedly different TinyPerson benchmark, HSF-Net outperforms YOLOv11s by 5.2 percentage points in mAP50, indicating that its relative performance advantage persists under a substantially different target-scale distribution and maritime background.