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20222026
most citedDCL-SLAM: A Distributed Collaborative LiDAR SLAM Framework for a Robotic Swarm

76 citations · 131 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.RO2026

GNIO: Gated Neural Inertial Odometry

Dapeng Feng, Yizhen Yin, Zhiqiang Chen +2

Inertial navigation using low-cost MEMS sensors is plagued by rapid drift due to sensor noise and bias instability. While recent data-driven approaches have made significant stride…

cs.RO2025

Breaking the Static Assumption: A Dynamic-Aware LIO Framework Via Spatio-Temporal Normal Analysis

Chen Zhiqiang, Le Gentil Cedric, Lin Fuling +5

This paper addresses the challenge of Lidar-Inertial Odometry (LIO) in dynamic environments, where conventional methods often fail due to their static-world assumptions. Traditiona…

cs.RO2024★ 1 cited

Heterogeneous LiDAR Dataset for Benchmarking Robust Localization in Diverse Degenerate Scenarios

Zhiqiang Chen, Yuhua Qi, Dapeng Feng +6

The ability to estimate pose and generate maps using 3D LiDAR significantly enhances robotic system autonomy. However, existing open-source datasets lack representation of geometri…

cs.RO2024

RELEAD: Resilient Localization with Enhanced LiDAR Odometry in Adverse Environments

Zhiqiang Chen, Hongbo Chen, Yuhua Qi +5

LiDAR-based localization is valuable for applications like mining surveys and underground facility maintenance. However, existing methods can struggle when dealing with uninformati…

cs.RO2024

CoLRIO: LiDAR-Ranging-Inertial Centralized State Estimation for Robotic Swarms

Shipeng Zhong, Hongbo Chen, Yuhua Qi +5

Collaborative state estimation using different heterogeneous sensors is a fundamental prerequisite for robotic swarms operating in GPS-denied environments, posing a significant res…

cs.RO2022★ 36 cited

S3E: A Multi-Robot Multimodal Dataset for Collaborative SLAM

Dapeng Feng, Yuhua Qi, Shipeng Zhong +5

The burgeoning demand for collaborative robotic systems to execute complex tasks collectively has intensified the research community's focus on advancing simultaneous localization…

cs.RO2022★ 76 cited

DCL-SLAM: A Distributed Collaborative LiDAR SLAM Framework for a Robotic Swarm

Shipeng Zhong, Yuhua Qi, Zhiqiang Chen +3

To execute collaborative tasks in unknown environments, a robotic swarm needs to establish a global reference frame and locate itself in a shared understanding of the environment.…