chenxianbo

CarND-Unscented-Kalman-Filter-Project

Self-Driving Car Nanodegree Program Starter Code for the Unscented Kalman Filter Project

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

cartographer_ros

Provides ROS integration for Cartographer.

css_loam_velodyne

css_loam_velodyne

cv-arxiv-daily

🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)

falkolib

A library containing keypoint detectors for the stable detection of interest points in laser measurements and two descriptors for robust associations.

floam

Fast LOAM: Fast and Optimized Lidar Odometry And Mapping

grd

Geometric Relation Distribution (GRD) for loop closure in LiDAR 2D mapping problems.

hello_word

test

ICP

interactive_slam

Interactive Map Correction for 3D Graph SLAM

iscloam

Intensity Scan Context based full SLAM implementation for autonomous driving.

la3dm

Learning-aided 3D mapping

lidar_align

A simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor

lidar_camera_calibration

ROS package to find a rigid-body transformation between a LiDAR and a camera for http://arxiv.org/abs/1705.09785

limo

Lidar-Monocular Visual Odometry

lips

LiDAR-Inertial 3D Plane Simulator

LLS-LOAM

Lidar Odometry and Mapping with Mutiple Metrics Linear Least Square ICP

loam-loop-closure

this is back end slam frame work for loam loop closure

loam_livox

A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR

LOL

LOL: Lidar-only Odometry and Localization in 3D point cloud maps

M2DP

M2DP descriptor of a 3D point cloud

Mono3D_PLiDAR

Official PyTorch Implementation for "Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud", ICCVW 2019

OdomLaserCalibraTool

Extrinsic Calibration of a Odom and 2d Laser

ple

Probabilistic line extraction from 2-D range scan

robot_localization

robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc. Please ask questions on answers.ros.org.

se2clam

SE(2)-Constrained Localization and Mapping by Fusing Odometry and Vision (IEEE Transactions on Cybernetics 2019)

segmap

A map representation based on 3D segments

sparse-voxel-octrees

CPU Sparse Voxel Octree Implementation

THST

Templated hierarchical spatial trees designed for high-peformance.