Author

Hong Tan

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Jul 2026

Range-FDSeg: LiDAR semantic segmentation based on fusion interactive learning and dynamic sampling for autonomous driving scenarios.

This paper proposes a new, to the authors' knowledge, efficient and accurate semantic segmentation network for LiDAR, called Range-FDSeg, and introduces a lightweight and dynamic upsampler, called Dysample-S+.

Hong Tan, Fen Chen, Tingna Liu et al. · Applied Optics · 0 citations

Open access Aug 2026

PDES-Net: LiDAR point cloud semantic segmentation network based on point-wise distance encoding and pointed-seg head

The proposed PDES-Net enhances segmentation performance while maintaining advantages in model parameters and inference speed, and achieves a well-balanced trade-off between accuracy and computational efficiency.

Si-Si Zhang, Zong-Ju Peng, Hong Tan et al. · Measurement science and tech... · 0 citations