92 citations · 330 across the 18 of their papers we have counts for
6 papers · 1 filter
R3LIVE: A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
Jiarong Lin, Fu Zhang
In this letter, we propose a novel LiDAR-Inertial-Visual sensor fusion framework termed R3LIVE, which takes advantage of measurement of LiDAR, inertial, and visual sensors to achie…
Targetless Extrinsic Calibration of Multiple Small FoV LiDARs and Cameras using Adaptive Voxelization
Xiyuan Liu, Chongjian Yuan, Fu Zhang
Determining the extrinsic parameter between multiple LiDARs and cameras is essential for autonomous robots, especially for solid-state LiDARs, where each LiDAR unit has a very smal…
Control of a Tail-Sitter VTOL UAV Based on Recurrent Neural Networks
Jinni Zhou, Hao Xu, Zexiang Li +2
Tail-sitter vertical takeoff and landing (VTOL) unmanned aerial vehicles (UAVs) have the capability of hovering and performing efficient level flight with compact mechanical struct…
Pixel-level Extrinsic Self Calibration of High Resolution LiDAR and Camera in Targetless Environments
Chongjian Yuan, Xiyuan Liu, Xiaoping Hong +1
In this letter, we present a novel method for automatic extrinsic calibration of high-resolution LiDARs and RGB cameras in targetless environments. Our approach does not require ch…
Avoiding dynamic small obstacles with onboard sensing and computating on aerial robots
Fanze Kong, Wei Xu, Fu Zhang
In practical applications, autonomous quadrotors are still facing significant challenges, such as the detection and avoidance of very small and even dynamic obstacles (e.g., tree b…
R2LIVE: A Robust, Real-time, LiDAR-Inertial-Visual tightly-coupled state Estimator and mapping
Jiarong Lin, Chunran Zheng, Wei Xu +1
In this letter, we propose a robust, real-time tightly-coupled multi-sensor fusion framework, which fuses measurement from LiDAR, inertial sensor, and visual camera to achieve robu…