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Shuang Luan

1 accepted papers

2025

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

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 0SourceScholar