27 citations · 52 across the 6 of their papers we have counts for
6 papers
Super-LIO: A Robust and Efficient LiDAR-Inertial Odometry System with a Compact Mapping Strategy
Liansheng Wang, Xinke Zhang, Chenhui Li +3
LiDAR-Inertial Odometry (LIO) is a foundational technique for autonomous systems, yet its deployment on resource-constrained platforms remains challenging due to computational and…
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
Chunran Zheng, Wei Xu, Zuhao Zou +11
This paper proposes FAST-LIVO2: a fast, direct LiDAR-inertial-visual odometry framework to achieve accurate and robust state estimation in SLAM tasks and provide great potential in…
Joint Intrinsic and Extrinsic LiDAR-Camera Calibration in Targetless Environments Using Plane-Constrained Bundle Adjustment
Liang Li, Haotian Li, Xiyuan Liu +6
This paper introduces a novel targetless method for joint intrinsic and extrinsic calibration of LiDAR-camera systems using plane-constrained bundle adjustment (BA). Our method lev…
FAST-LIO2: Fast Direct LiDAR-inertial Odometry
Wei Xu, Yixi Cai, Dongjiao He +2
This paper presents FAST-LIO2: a fast, robust, and versatile LiDAR-inertial odometry framework. Building on a highly efficient tightly-coupled iterated Kalman filter, FAST-LIO2 has…
Kalman Filters on Differentiable Manifolds
Dongjiao He, Wei Xu, Fu Zhang
Kalman filter is presumably one of the most important and extensively used filtering techniques in modern control systems. Yet, nearly all current variants of Kalman filters are fo…
Robots State Estimation and Observability Analysis Based on Statistical Motion Models
Wei Xu, Dongjiao He, Yixi Cai +1
This paper presents a generic motion model to capture mobile robots' dynamic behaviors (translation and rotation). The model is based on statistical models driven by white random p…