2 citations · 4 across the 5 of their papers we have counts for
5 papers
CredibleDFGO: Differentiable Factor Graph Optimization with Credibility Supervision
Liang Qian, Penggao Yan, Penghui Xu +1
Global navigation satellite system (GNSS) positioning is widely used for urban navigation, but the covariance reported by the GNSS solver is often unreliable in urban canyons. Exis…
A Decentralized LiDAR-SLAM System with Certifiably Optimal Pose Graph Optimization
Baoshan Song, Feng Huang, Li-Ta Hsu
Decentralized multi-robot LiDAR-SLAM is essential for collaborative missions but faces significant challenges in maintaining global consistency. Existing frameworks predominantly r…
Exploring the Feasibility of Automated Data Standardization using Large Language Models for Seamless Positioning
Max J. L. Lee, Ju Lin, Li-Ta Hsu
We propose a feasibility study for real-time automated data standardization leveraging Large Language Models (LLMs) to enhance seamless positioning systems in IoT environments. By…
ECMD: An Event-Centric Multisensory Driving Dataset for SLAM
Peiyu Chen, Weipeng Guan, Feng Huang +4
Leveraging multiple sensors enhances complex environmental perception and increases resilience to varying luminance conditions and high-speed motion patterns, achieving precise loc…
Point wise or Feature wise? Benchmark Comparison of Public Available LiDAR Odometry Algorithms in Urban Canyons
Feng Huang, Weisong Wen, Jiachen Zhang +1
Robust and precise localization is essential for the autonomous system with navigation requirements. Light detection and ranging (LiDAR) odometry is extensively studied in the past…