JokerJohn

Catalina's repositories

LIO_SAM_6AXIS

LIO_SAM for 6-axis IMU and GNSS.

Language:C++764 12 100

Cloud_Map_Evaluation

[RAL' 25 & IROS‘ 25] MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework.

Language:C++407 7 6

PALoc

[TMECH'2024] Official codes of ”PALoc: Advancing SLAM Benchmarking with Prior-Assisted 6-DoF Trajectory Generation and Uncertainty Estimation“

Language:C++338 9 16

MS-Mapping

[ICRA@40] MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System

Language:C++281 23 3

SLAMTools

A script toolkit for SLAM research, including but not limited to various plotting functions, ROS bag processing, and more.

Language:Python92 1 1

LTLoc

Beyond Pure Geometry: An Uncertainty-Driven Perspective on Long-Term LiDAR Localization

46 70

AM_Align

[TIM'2024] Official codes of AM-Align: Globally Optimal Estimation of Accelerometer-Magnetometer Misalignment

31 70

Minimal implementation of the ICP algorithm with SE3 / SO3 * R3 optimization only using Eigen, for quickly comparing and verifying various rotation parameterization methods, degeneracy analysis methods, and covariance estimation methods.

1000

lda

LiDAR Degenercy Analysis

9 40

LIO-SAM-6AXIS-Color

A simple implement for point cloud map RGB rendering with LIO-SAM-6AXIS

5 2 1

JokerJohn

Language:C++4 2 4

lio_mapping_2023

lio-mapping algorithm adapted for various datasets.

3 10

robotics

Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson

Language:Jupyter NotebookBSD-3-Clause200

gtsam

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 matrices.

Language:C++NOASSERTION100