Stars
[RA-L 2022] An efficient and probabilistic adaptive voxel mapping method for LiDAR odometry
Voxelmap++: Mergeable Voxel Mapping Method for Online LiDAR(-inertial) Odometry
FAST-LIO 2 with VoxelMapPlus and STD
An efficient and consistent bundle adjustment for lidar mapping
(ICRA 2025) LiLoc: Lifelong Localization using Adaptive Submap Joining and Egocentric Factor Graph
A LiDAR-Inertial localization package based on FAST-LIO2, operating with a known prior map.
[RAL 2023] A globally consistent LiDAR map optimization module
M2DGR: a Multi-modal and Multi-scenario Dataset for Ground Robots(RA-L2021 & ICRA2022)
[ICRA'24] A localization system based on Block Maps (BMs) to reduce the computational load caused by maintaining large-scale maps
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…
YOLO ROS: Real-Time Object Detection for ROS
Postgraduate Thesis: fast_lio_sam + dynamic removal (T-GRS 2024) + multi-session mapping (ICRA 2022 Kim) + object-level update + online relocalization (ICRA 2025) + real-world application (MD-LVIO)
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
[NeurIPS 2022 & TPAMI 2025] DeepInteraction: 3D Object Detection via Modality Interaction
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
A Robust LiDAR-Inertial Odometry for Livox LiDAR