papers

Publications (21)

cs.CV2025

Mesh-Learner: Texturing Mesh with Spherical Harmonics

Yunfei Wan, Jianheng Liu, Chunran Zheng +2

In this paper, we present a 3D reconstruction and rendering framework termed Mesh-Learner that is natively compatible with traditional rasterization pipelines. It integrates mesh a…

cs.RO2024

LVBA: LiDAR-Visual Bundle Adjustment for RGB Point Cloud Mapping

Rundong Li, Xiyuan Liu, Haotian Li +4

Point cloud maps with accurate color are crucial in robotics and mapping applications. Existing approaches for producing RGB-colorized maps are primarily based on real-time localiz…

cs.RO2025

An End-to-End Learning-Based Multi-Sensor Fusion for Autonomous Vehicle Localization

Changhong Lin, Jiarong Lin, Zhiqiang Sui +4

Multi-sensor fusion is essential for autonomous vehicle localization, as it is capable of integrating data from various sources for enhanced accuracy and reliability. The accuracy…

cs.RO2023

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…

cs.RO2021

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…

cs.CV2023

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…