27 citations · 49 across the 9 of their papers we have counts for
9 papers
MFCalib: Single-shot and Automatic Extrinsic Calibration for LiDAR and Camera in Targetless Environments Based on Multi-Feature Edge
Tianyong Ye, Wei Xu, Chunran Zheng +1
This paper presents MFCalib, an innovative extrinsic calibration technique for LiDAR and RGB camera that operates automatically in targetless environments with a single data captur…
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…
Swashplateless-elevon Actuation for a Dual-rotor Tail-sitter VTOL UAV
Nan Chen, Fanze Kong, Haotian Li +6
In this paper, we propose a novel swashplateless-elevon actuation (SEA) for dual-rotor tail-sitter vertical takeoff and landing (VTOL) unmanned aerial vehicles (UAVs). In contrast…
Perch a quadrotor on planes by the ceiling effect
Yuying Zou, Haotian Li, Yunfan Ren +5
Perching is a promising solution for a small unmanned aerial vehicle (UAV) to save energy and extend operation time. This paper proposes a quadrotor that can perch on planar struct…
Swarm-LIO: Decentralized Swarm LiDAR-inertial Odometry
Fangcheng Zhu, Yunfan Ren, Fanze Kong +5
Accurate self and relative state estimation are the critical preconditions for completing swarm tasks, e.g., collaborative autonomous exploration, target tracking, search and rescu…
FAST-LIVO: Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry
Chunran Zheng, Qingyan Zhu, Wei Xu +3
To achieve accurate and robust pose estimation in Simultaneous Localization and Mapping (SLAM) task, multi-sensor fusion is proven to be an effective solution and thus provides gre…
Efficient and Probabilistic Adaptive Voxel Mapping for Accurate Online LiDAR Odometry
Chongjian Yuan, Wei xu, Xiyuan Liu +2
This paper proposes an efficient and probabilistic adaptive voxel mapping method for LiDAR odometry. The map is a collection of voxels; each contains one plane (or edge) feature th…
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…