CogmanCVN's starred repositories

Lightning-NeRF

[ICRA 2024] Lightning NeRF: Efficient Hybrid Scene Representation for Autonomous Driving

Language:PythonLicense:MITStargazers:98Issues:0Issues:0

HBA

[RAL 2023] A globally consistent LiDAR map optimization module

Language:C++License:GPL-2.0Stargazers:418Issues:0Issues:0

VoxelMapPlus_Public

Voxelmap++: Mergeable Voxel Mapping Method for Online LiDAR(-inertial) Odometry

Language:C++Stargazers:251Issues:0Issues:0

slam_in_autonomous_driving

《自动驾驶中的SLAM技术》对应开源代码

Language:C++Stargazers:1803Issues:0Issues:0

KalmanFilter

This is a Kalman filter used to calculate the angle, rate and bias from from the input of an accelerometer/magnetometer and a gyroscope.

Language:C++Stargazers:1722Issues:0Issues:0

LIO-SAM

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

Language:C++License:BSD-3-ClauseStargazers:3227Issues:0Issues:0

ORB-SLAM3-Noted

添加了注释

Language:MakefileLicense:GPL-3.0Stargazers:1Issues:0Issues:0

SalsaNext

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

Language:PythonLicense:MITStargazers:396Issues:0Issues:0

direct_lidar_odometry

[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.

Language:C++License:MITStargazers:826Issues:0Issues:0

BALM

An efficient and consistent bundle adjustment for lidar mapping

Language:C++License:GPL-2.0Stargazers:690Issues:0Issues:0

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++License:NOASSERTIONStargazers:2480Issues:0Issues:0

locus

[ICRA 2021] This repository contains the code for "Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling".

Language:PythonLicense:NOASSERTIONStargazers:118Issues:0Issues:0

FAST_LIO_SLAM

LiDAR SLAM = FAST-LIO + Scan Context

Language:C++Stargazers:475Issues:0Issues:0

IA_LIO_SAM

IA-LIO-SAM is enhanced LIO-SAM using Intensity and Ambient channel from OUSTER LiDAR.

Language:C++License:BSD-3-ClauseStargazers:151Issues:0Issues:0

LIO-SAM-DetailedNote

LIO-SAM源码详细注释,3D SLAM融合激光、IMU、GPS

Language:C++License:BSD-3-ClauseStargazers:483Issues:0Issues:0

LIO-SAM-note

lio-sam代码注释

Language:C++License:BSD-3-ClauseStargazers:132Issues:0Issues:0

kalibr

The Kalibr visual-inertial calibration toolbox

Language:C++License:NOASSERTIONStargazers:4205Issues:0Issues:0

imu_utils

A ROS package tool to analyze the IMU performance.

Language:C++License:MITStargazers:1419Issues:0Issues:0

ncps

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

Language:PythonLicense:Apache-2.0Stargazers:1879Issues:0Issues:0

LVI-SAM

LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

Language:C++License:BSD-3-ClauseStargazers:1456Issues:0Issues:0

LARVIO

A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.

Language:C++Stargazers:692Issues:0Issues:0

semantic_suma

SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)

Language:C++License:MITStargazers:892Issues:0Issues:0

range-mcl

Range Image-based LiDAR Localization for Autonomous Vehicles Using Mesh Maps (chen2021icra)

Language:PythonLicense:NOASSERTIONStargazers:277Issues:0Issues:0

puma

Poisson Surface Reconstruction for LiDAR Odometry and Mapping

Language:PythonLicense:MITStargazers:400Issues:0Issues:0

rangenet_lib

Inference module for RangeNet++ (milioto2019iros, chen2019iros)

Language:C++License:MITStargazers:301Issues:0Issues:0

VINS-Mono-Learning

VINS-Mono代码注释,仅供学习

Language:C++License:GPL-3.0Stargazers:709Issues:0Issues:0

VINS-Mono

A Robust and Versatile Monocular Visual-Inertial State Estimator

Language:C++License:GPL-3.0Stargazers:4852Issues:0Issues:0

VINS-Mono-noted

detailed chinese notes for vins-mono

Language:C++License:GPL-3.0Stargazers:258Issues:0Issues:0

EAO-SLAM

[IROS 2020] EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association

Language:C++License:NOASSERTIONStargazers:367Issues:0Issues:0

M3VSNet

M^3SNet: Unsupervised Multi-metric Multi-view Stereo Network

Language:PythonStargazers:153Issues:0Issues:0