Peiyu Guan — accepted AI-conference papers

2025

A Novel LiDAR Odometry Based on Surface Distributed Point Feature with Dual Feature Fusion

Jianjie Li, Peiyu Guan, Xurong Gong, Zhicheng Liu, Zhiqiang Cao

IROS 2025

LiDAR odometry has gained popularity due to the LiDAR sensor’s accurate depth measurement and robustness to varying illumination conditions. The feature-based methods achieve the advantage of efficiency through feature extraction, while the distribution-based ones attain better accuracy by modeling

Cited by 0 Source ↗Scholar ↗

2021

Scene Coordinate Regression Network With Global Context-Guided Spatial Feature Transformation for Visual Relocalization

Peiyu Guan, Zhiqiang Cao, Junzhi Yu, Chao Zhou, Min Tan

RA-L 2021

Among visual relocalization from a single RGB image, the scene coordinate regression (SCoRe) based on convolutional neural network (CNN) becomes prevailing, however, it is insufficient to extract invariant features under different viewpoints due to fixed geometric structures of CNN. In this letter,

Cited by 19 Source ↗Scholar ↗