Pinned Repositories
CamLaserCalibraTool
Extrinsic Calibration of a Camera and 2d Laser
Dig-into-Apollo
Apollo learning notes
dynamic_robot_localization
Dynamic Robot Localization
flownet3d
FlowNet3D: Learning Scene Flow in 3D Point Clouds
imu_gps_localization
Localization
laser_line_extraction
A ROS packages that extracts line segments from LaserScan messages.
libpointmatcher
An "Iterative Closest Point" library for 2-D/3-D mapping in Robotics
LiPMatch
LiPMatch: LiDAR Point Cloud Plane based Loop-Closure
PU-Net
PU-Net: Point Cloud Upsampling Network, CVPR, 2018 (https://arxiv.org/abs/1801.06761)
Recent_SLAM_Research
跟踪SLAM前沿动态【周更】
ahandsomeperson's Repositories
ahandsomeperson/imu_gps_localization
Localization
ahandsomeperson/ai-edu
AI education materials for Chinese students, teachers and IT professionals.
ahandsomeperson/AVData
Autonomous Vehicle Seasonal Dataset
ahandsomeperson/CAE-LO
Convolutional Auto-Encoder based LiDAR Odometry
ahandsomeperson/DeepLiDAR
Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image
ahandsomeperson/denoise-imu-gyro
Convolutional Neural Networks for Denoising Gyroscopes of Low-Cost IMUs
ahandsomeperson/GH-ICP
GH-ICP（Iterative Closest Point algorithm with global optimal matching and hybrid metric）algorithm
ahandsomeperson/hard_sync_dut
ahandsomeperson/hello-vim
Vim 中文资源整理
ahandsomeperson/interview_internal_reference
2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
ahandsomeperson/invariant-ekf
C++ library to implement invariant extended Kalman filtering for aided inertial navigation.
ahandsomeperson/IROS2019-paper-list
IROS2019 paper list from PaopaoRobot
ahandsomeperson/Lane-Marking-Detection
This is the final project for the Geospatial Vision and Visualization class at Northwestern University. The goal of the project is detecting the lane marking for a small LIDAR point cloud. Therefore, we cannot use a Deep Learning algorithm that learns to identify the lane markings by looking at a vast amount of data. Instead we will need to build a system that is able to identify the marking just by looking at the intensity value within the point cloud.
ahandsomeperson/LARVIO
A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.
ahandsomeperson/lidar_gnss_mapping
ahandsomeperson/LLS-LOAM
Lidar Odometry and Mapping with Mutiple Metrics Linear Least Square ICP
ahandsomeperson/LoamMap
将loam运行时输出的地图消息转化为二维占据栅格地图并加以保存
ahandsomeperson/LOL
LOL: Lidar-only Odometry and Localization in 3D point cloud maps
ahandsomeperson/LPD-net
LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis, ICCV 2019, Seoul, Korea
ahandsomeperson/mv-lm-icp
Multiview Levenberg-Marquardt ICP
ahandsomeperson/PointWeb
PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing, CVPR2019.
ahandsomeperson/probreg
Point cloud registration using probabilistic model (CPD/GMMReg/SVR/GMMTree/FilterReg)
ahandsomeperson/pvcnn
[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning.
ahandsomeperson/PyICP-SLAM
ahandsomeperson/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
ahandsomeperson/RobustGNSS
Robust GNSS Processing With Factor Graphs
ahandsomeperson/semantic-kitti-api
SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
ahandsomeperson/SHOT
C++ implementation of the SHOT 3D descriptor
ahandsomeperson/StaticMapping
Use LiDAR to map the static world
ahandsomeperson/vig-init
Rapid and Robust Monocular Visual-Inertial Initialization with Gravity Estimation via Vertical Edges