most citedFusionPortable: A Multi-Sensor Campus-Scene Dataset for Evaluation of Localization and Mapping Accuracy on Diverse Platforms

1 citations · 2 across the 2 of their papers we have counts for

collaborators

11 papers

cs.RO2024

MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System

Xiangcheng Hu, Jin Wu, Jianhao Jiao +4

Large-scale multi-session LiDAR mapping is essential for a wide range of applications, including surveying, autonomous driving, crowdsourced mapping, and multi-agent navigation. Ho…

cs.RO2024

GV-Bench: Benchmarking Local Feature Matching for Geometric Verification of Long-term Loop Closure Detection

Jingwen Yu, Hanjing Ye, Jianhao Jiao +2

Visual loop closure detection is an important module in visual simultaneous localization and mapping (SLAM), which associates current camera observation with previously visited pla…

cs.RO20241 cited

MS-Mapping: Multi-session LiDAR Mapping with Wasserstein-based Keyframe Selection

Xiangcheng Hu, Jin Wu, Jianhao Jiao +2

Large-scale multi-session LiDAR mapping is crucial for various applications but still faces significant challenges in data redundancy, memory consumption, and efficiency. This pape…

cs.RO2024

Accurate Prior-centric Monocular Positioning with Offline LiDAR Fusion

Jinhao He, Huaiyang Huang, Shuyang Zhang +3

Unmanned vehicles usually rely on Global Positioning System (GPS) and Light Detection and Ranging (LiDAR) sensors to achieve high-precision localization results for navigation purp…

cs.RO2024

DHP-Mapping: A Dense Panoptic Mapping System with Hierarchical World Representation and Label Optimization Techniques

Tianshuai Hu, Jianhao Jiao, Yucheng Xu +3

Maps provide robots with crucial environmental knowledge, thereby enabling them to perform interactive tasks effectively. Easily accessing accurate abstract-to-detailed geometric a…

cs.RO2024

Efficient Global Navigational Planning in 3D Structures based on Point Cloud Tomography

Bowen Yang, Jie Cheng, Bohuan Xue +2

Navigation in complex 3D scenarios requires appropriate environment representation for efficient scene understanding and trajectory generation. We propose a highly efficient and ex…