junzhang2016

apollo

An open autonomous driving platform

but_velodyne

ROS packages for Velodyne 3D LIDARs provided by Robo@FIT group.

CalibNet

Self-Supervised Extrinsic Calibration using 3D Spatial Transformer Networks

cartographer_ros

Provides ROS integration for Cartographer.

Cheatsheet

CMake-tutorial

CMake tutorial: beamer presentation and sample code

CORB-SLAM

cvpr2018-shape-completion

CVPR 2018 paper "Learning 3D Shape Completion from Laser Scan Data with Weak Supervision".

dslam_open

Public code for "Data-Efficient Decentralized Visual SLAM"

gps_rviz_plugin

rviz plugin for visualize sensor_msgs/NavSatFix message by using Google Static Map API

kitti2bag

Convert KITTI dataset to ROS bag file the easy way!

LaserSeteroCalibration

Extrinsic calibration of vlp16 or rotated LMS400 with zed setero camera

learning-cmake

learning cmake

lidar_camera_calibration

ROS package to find a rigid-body transformation between a LiDAR and a camera

lostX

LoST - Visual Place Recognition using Visual Semantics for Opposite Viewpoints across Day and Night

Mastering-ROS-for-Robotics-Programming-Second-Edition

Mastering ROS for Robotics Programming - Second-Edition, published by Packt

MV3D

Multi-View 3D Object Detection Network for Autonomous Driving

netvlad_tf_open

Tensorflow port of https://github.com/Relja/netvlad

octnetfusion

Open3D

Open3D: A Modern Library for 3D Data Processing

OpenABLE

OpenABLE is an open toolbox that contributes different solutions and functionalities to the research community in the topic of life-long visual localization for autonomous vehicles. You can access to the Webpage of the OpenABLE project for more information about it.

pcl

Point Cloud Library (PCL)

place-recognition

Visual Place Recognition implemented in PyTorch

place_recognition_dataset_icra2018

Outdoors datasets especially recorded for place recognition applications using both flying and hand-held setups.

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

ros_best_practices

Best practices, conventions, and tricks for ROS

segmap

A map representation based on 3D segments

vpr_relocalization

The framework for visual place recognition in changing enviroments. Matches two sequence of images of arbitrary trajectory overlap.

zh-google-styleguide

Google 开源项目风格指南 (中文版)