NemoLeiYANG's repositories

ApproxMVBB

Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.

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Bonxai

Fast, hierarchical, sparse Voxel Grid

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CVPR2021-Paper-Code-Interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理

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eagleye

Precise localization based on GNSS and IMU.

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FAST_LIO

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

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GraphOptim

The official implementation of our CVPR 2021 paper - Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging Approach

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ICCV2021-Paper-Code-Interpretation

ICCV2021/2019/2017 论文/代码/解读/直播合集,极市团队整理

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ikd-Tree

This repository provides implementation of an incremental k-d tree for robotic applications.

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imu_x_fusion

IMU + X(GNSS, VO) Fusion Localization based on ESKF

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InfrasCal

InfrasCal: Automatic Infrastructure-based Intrinsic and Extrinsic Calibration of a Multi-camera System

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LiDAR-Iris

LiDAR Iris for Loop-Closure Detection(IROS 2020)

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lidar_IMU_calib

Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation

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MRO

Monocular Rotational Odometry with Incremental Rotation Averaging and Loop Closure

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multi-modal-loam

Multi-Modal Multi-Lidar-Inertial Odometry and Mapping Implementation

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nav_matlab

基于的matlab导航科学计算库

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NaveGo

NaveGo: an open-source MATLAB/GNU Octave toolbox for processing integrated navigation systems and performing inertial sensors analysis.

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phaser

A robust pointcloud registration pipeline based on correlation.

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probabilistic_point_clouds_registration

Probabilistic Point Clouds Registration

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rootba

Square Root Bundle Adjustment for Large-Scale Reconstruction

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rosbag_editor

Create a rosbag from a given one, using a simple GUI

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slam_docker_collection

A collection of docker environments for 3D SLAM packages

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tinycolormap

A header-only, single-file library for colormaps written in C++11

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TinyGrapeKit

A bunch of state estimation algorithms

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Vehicle-State-Estimation

This extended Kalman filter combines IMU, GNSS, and LIDAR measurements to localize a vehicle using data from the CARLA simulator.

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