Pinned Repositories
3D-IoU-Python
Small code to caculate the 3D IOU score and BEV score for 3D object detection
3D-ros-visualization-of-depth-maps
3D visualization of depth maps which are created by any depth model such as Monodepth, Packnet, etc..
AB3DMOT
Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics", IROS 2020, ECCVW 2020
Anomaly-Detection
UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / One-Class SVM / PU Learning
AVP-SLAM-SIM
A basic implementation(not official code) of AVP-SLAM(IROS 2020) in simulation. https://arxiv.org/abs/2007.01813
Awesome-Edge-Detection-Papers
:books: A collection of edge/contour/boundary detection papers and toolbox.
awesome-slam-datasets
SLAM常见数据集汇总
awesome_PointCloud_process
ROS_Stereo_SLAM
Simple implementation of Stereo SLAM system on KITTI dataset using Dense feature sampling and 3D-2D PnP localization, loop closure and g2o pose graph optimization.
VINS-GPS-Wheel
Maple-Yang-neu's Repositories
Maple-Yang-neu/ROS_Stereo_SLAM
Simple implementation of Stereo SLAM system on KITTI dataset using Dense feature sampling and 3D-2D PnP localization, loop closure and g2o pose graph optimization.
Maple-Yang-neu/VINS-GPS-Wheel
Maple-Yang-neu/AVP-SLAM-SIM
A basic implementation(not official code) of AVP-SLAM(IROS 2020) in simulation. https://arxiv.org/abs/2007.01813
Maple-Yang-neu/awesome-slam-datasets
SLAM常见数据集汇总
Maple-Yang-neu/Co-Planar-Parametrization
Maple-Yang-neu/fuse
The fuse stack provides a general architecture for performing sensor fusion live on a robot. Some possible applications include state estimation, localization, mapping, and calibration.
Maple-Yang-neu/imu_x_fusion
IMU + X(GNSS, VO) Loose Fusion Localization based on ESKF
Maple-Yang-neu/lidar_localization
A framework of lidar mapping and localization with strong extensibility
Maple-Yang-neu/LIO-Livox
A Robust LiDAR-Inertial Odometry for Livox LiDAR
Maple-Yang-neu/LVIO-SAM
A Multi-sensor Fusion Odometry via Smoothing and Mapping.
Maple-Yang-neu/lvio_fusion
Lvio-Fusion: A Self-adaptive Multi-sensor Fusion SLAM Framework Using Actor-critic Method (IROS 2021)
Maple-Yang-neu/Mathematics
数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波 数学函数拟合
Maple-Yang-neu/mola
A Modular Optimization framework for Localization and mApping (MOLA)
Maple-Yang-neu/ORB_SLAM2_combineLine
Maple-Yang-neu/OrcVIO-Lite
A lightweight version of OrcVIO that uses monocular images, inertial data, as well as bounding box measurements
Maple-Yang-neu/ov2slam
OV²SLAM is a Fully Online and Versatile Visual SLAM for Real-Time Applications
Maple-Yang-neu/packnet-sfm
TRI-ML Monocular Depth Estimation Repository
Maple-Yang-neu/PL-VINS
PL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line
Maple-Yang-neu/PlanarSLAM
A RGB-D SLAM system for structural scenes, which makes use of point-line-plane features and the Manhattan World assumption.
Maple-Yang-neu/r2live
R2LIVE is a robust, real-time tightly-coupled multi-sensor fusion framework, which fuses the measurement from the LiDAR, inertial sensor, visual camera to achieve robust, accurate state estimation.
Maple-Yang-neu/rpg_esim
ESIM: an Open Event Camera Simulator
Maple-Yang-neu/rpg_svo_pro_open
Maple-Yang-neu/sciplot
A modern C++ scientific plotting library powered by gnuplot
Maple-Yang-neu/self-driving-car
Udacity Self-Driving Car Engineer Nanodegree projects.
Maple-Yang-neu/semantic_mesh_loam
Maple-Yang-neu/SequentialVisualLocalization
Maple-Yang-neu/StaticMapping
Use LiDAR to map the static world
Maple-Yang-neu/test_git_
Maple-Yang-neu/TP-LSD
Official implementation of paper "TP-LSD: Tri-points based line segment detector" .
Maple-Yang-neu/VIDO-SLAM
VIDO-SLAM is a Visual Inertial SLAM system for dynamic environments, and it can also estimate dynamic objects pose and track objects.