19 citations · 26 across the 15 of their papers we have counts for
15 papers · 1 filter
VeriCalib: Verifiable Target-Based LiDAR-Camera Calibration
Xiangcheng Hu, Xieyuanli Chen, Feiyi Chen +8
Target-based extrinsic calibration estimates the rigid transform between sensors from a few observations of a known target, and its result is commonly assessed by the root-mean-squ…
Automatic Reproducible Camera Intrinsic Calibration
Xiangcheng Hu
Accurate camera intrinsic calibration is fundamental to robot perception, and the accuracy depends on the quality of the collected images. However, existing target-based calibratio…
PCalib: Utilizing Pattern Priors for LiDAR-Camera Extrinsic Calibration
Xiangcheng Hu
Target-based LiDAR-camera extrinsic calibration is a prerequisite for multi-sensor fusion in robotics. However, in the widely adopted four-hole pipeline, \rt{calibration accuracy i…
DCReg: Decoupled Characterization for Efficient Degenerate LiDAR Registration
Xiangcheng Hu, Xieyuanli Chen, Mingkai Jia +3
LiDAR point cloud registration is fundamental to robotic perception and navigation. In geometrically degenerate environments (e.g., corridors), registration becomes ill-conditioned…
MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework
Xiangcheng Hu, Jin Wu, Mingkai Jia +6
Evaluating massive-scale point cloud maps in Simultaneous Localization and Mapping (SLAM) remains challenging, primarily due to the absence of unified, robust and efficient evaluat…
LiteVLoc: Map-Lite Visual Localization for Image Goal Navigation
Jianhao Jiao, Jinhao He, Changkun Liu +4
This paper presents LiteVLoc, a hierarchical visual localization framework that uses a lightweight topo-metric map to represent the environment. The method consists of three sequen…
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…
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…
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…
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…
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…
FAST-LIO, Then Bayesian ICP, Then GTSFM
Jerred Chen, Xiangcheng Hu, Shicong Ma +3
For the Hilti Challenge 2022, we created two systems, one building upon the other. The first system is FL2BIPS which utilizes the iEKF algorithm FAST-LIO2 and Bayesian ICP PoseSLAM…
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…
On Bundle Adjustment for Multiview PointCloud Registration
Huaiyang Huang, Yuxiang Sun, Jin Wu +5
Multiview registration is used to estimate Rigid Body Transformations (RBTs) from multiple frames and reconstruct a scene with corresponding scans. Despite the success of pairwise…