20 citations · 39 across the 8 of their papers we have counts for
8 papers
Coarse-to-fine Hybrid 3D Mapping System with Co-calibrated Omnidirectional Camera and Non-repetitive LiDAR
Ziliang Miao, Buwei He, Wenya Xie +4
This paper presents a novel 3D mapping robot with an omnidirectional field-of-view (FoV) sensor suite composed of a non-repetitive LiDAR and an omnidirectional camera. Thanks to th…
ImMesh: An Immediate LiDAR Localization and Meshing Framework
Jiarong Lin, Chongjiang Yuan, Yixi Cai +5
In this paper, we propose a novel LiDAR(-inertial) odometry and mapping framework to achieve the goal of simultaneous localization and meshing in real-time. This proposed framework…
STD: Stable Triangle Descriptor for 3D place recognition
Chongjian Yuan, Jiarong Lin, Zuhao Zou +2
In this work, we present a novel global descriptor termed stable triangle descriptor (STD) for 3D place recognition. For a triangle, its shape is uniquely determined by the length…
Lidar with Velocity: Correcting Moving Objects Point Cloud Distortion from Oscillating Scanning Lidars by Fusion with Camera
Wen Yang, Zheng Gong, Baifu Huang +1
Lidar point cloud distortion from moving object is an important problem in autonomous driving, and recently becomes even more demanding with the emerging of newer lidars, which fea…
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…
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…
CamVox: A Low-cost and Accurate Lidar-assisted Visual SLAM System
Yuewen Zhu, Chunran Zheng, Chongjian Yuan +2
Combining lidar in camera-based simultaneous localization and mapping (SLAM) is an effective method in improving overall accuracy, especially at a large scale outdoor scenario. Rec…
Low-cost Retina-like Robotic Lidars Based on Incommensurable Scanning
Zheng Liu, Fu Zhang, Xiaoping Hong
High performance lidars are essential in autonomous robots such as self-driving cars, automated ground vehicles and intelligent machines. Traditional mechanical scanning lidars off…