Guojian He — accepted AI-conference papers

2025

A Novel Large-Scale Collaborative Mapping Framework with Heterogeneous Point Clouds for Aerial-Ground Robots

Shuang Luan, Guojian He, Haoyuan Peng, Fei Yan, Yan Zhuang

IROS 2025

Ground and aerial robots, with distinct sensing perspectives, acquire heterogeneous point clouds that exhibit limited overlap, presenting significant challenges for collaborative mapping. To address these challenges, this article proposes a robust LiDAR-based aerial-ground collaborative mapping fram

Cited by 0 Source ↗Scholar ↗

2015

Contextual classification of 3D laser points with conditional random fields in urban environments

Yan Zhuang, Yisha Liu, Guojian He, Wei Wang

IROS 2015poster

Online 3D point cloud classification and scene understanding are crucial tasks for Unmanned Ground Vehicles (UGVs) equipped with multiple laser scanners. Due to the poor performance of traditional 2D image representation model for 3D point clouds, a novel Optimal Bearing Angle (OBA) model is therefo…

Cited by 16 Source ↗Scholar ↗