76 citations · 133 across the 8 of their papers we have counts for
8 papers
FusionPortableV2: A Unified Multi-Sensor Dataset for Generalized SLAM Across Diverse Platforms and Scalable Environments
Hexiang Wei, Jianhao Jiao, Xiangcheng Hu +7
Simultaneous Localization and Mapping (SLAM) technology has been widely applied in various robotic scenarios, from rescue operations to autonomous driving. However, the generalizat…
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…
PALoc: Advancing SLAM Benchmarking with Prior-Assisted 6-DoF Trajectory Generation and Uncertainty Estimation
Xiangcheng Hu, Linwei Zheng, Jin Wu +7
Accurately generating ground truth (GT) trajectories is essential for Simultaneous Localization and Mapping (SLAM) evaluation, particularly under varying environmental conditions.…
PALoc: Robust Prior-assisted Trajectory Generation for Benchmarking
Xiangcheng Hu, Jin Wu, Jianhao Jiao +2
Evaluating simultaneous localization and mapping (SLAM) algorithms necessitates high-precision and dense ground truth (GT) trajectories. But obtaining desirable GT trajectories is…
LCE-Calib: Automatic LiDAR-Frame/Event Camera Extrinsic Calibration With A Globally Optimal Solution
Jianhao Jiao, Feiyi Chen, Hexiang Wei +2
The combination of LiDARs and cameras enables a mobile robot to perceive environments with multi-modal data, becoming a key factor in achieving robust perception. Traditional frame…
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…
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.…
FusionPortable: A Multi-Sensor Campus-Scene Dataset for Evaluation of Localization and Mapping Accuracy on Diverse Platforms
Jianhao Jiao, Hexiang Wei, Tianshuai Hu +10
Combining multiple sensors enables a robot to maximize its perceptual awareness of environments and enhance its robustness to external disturbance, crucial to robotic navigation. T…