most citedGS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping

1 citations · 2 across the 3 of their papers we have counts for

collaborators

6 papers

cs.RO2025

FAST-Calib: LiDAR-Camera Extrinsic Calibration in One Second

Chunran Zheng, Fu Zhang

This paper proposes FAST-Calib, a fast and user-friendly LiDAR-camera extrinsic calibration tool based on a custom-made 3D target. FAST-Calib supports both mechanical and solid-sta…

cs.RO2025

FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation

Bingyang Zhou, Chunran Zheng, Ziming Wang +3

This paper presents a lightweight LiDAR-inertial-visual odometry system optimized for resource-constrained platforms. It integrates a degeneration-aware adaptive visual frame selec…

cs.RO20251 cited

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping

Sheng Hong, Chunran Zheng, Yishu Shen +4

In recent years, 3D Gaussian splatting (3D-GS) has emerged as a novel scene representation approach. However, existing vision-only 3D-GS methods often rely on hand-crafted heuristi…

cs.RO2024

Voxel-SLAM: A Complete, Accurate, and Versatile LiDAR-Inertial SLAM System

Zheng Liu, Haotian Li, Chongjian Yuan +7

In this work, we present Voxel-SLAM: a complete, accurate, and versatile LiDAR-inertial SLAM system that fully utilizes short-term, mid-term, long-term, and multi-map data associat…

cs.RO2024

Agile Decision-Making and Safety-Critical Motion Planning for Emergency Autonomous Vehicles

Yiming Shu, Jingyuan Zhou, Fu Zhang

Efficiency is critical for autonomous vehicles (AVs), especially for emergency AVs. However, most existing methods focus on regular vehicles, overlooking the distinct strategies re…

cs.RO20241 cited

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…