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A general tool for Pose Graph.

Authors: Xinliang Zhong. ([email protected])

1.Description

This is an offline tool for Pose-Graph. You will get an trajectory file (usually with x,y,z) after you have run the SLAM and VO algorithm. If the datasets contains a loop, This tool can optimize the pose and eliminate the cumulative error.

Note: This repo contains some other test files. All the useful file is POSE_GRAPH_CERES_PLUS folder.

Videos: Youtube, Local Demo

Gif: pose_graph_results

2. Prerequisites

We have tested the library in 16.04, but it should be easy to compile in other platforms.

OpenCV

We use OpenCV to manipulate images and features. Dowload and install instructions can be found at: http://opencv.org. Required at leat 2.4.3. Tested with OpenCV 2.4.11 and OpenCV 3.2.

Eigen3

Download and install instructions can be found at: http://eigen.tuxfamily.org. Required at least 3.1.0.

Ceres

Download and install instructions can be found at: http://www.ceres-solver.org/installation.html.

3. How to build

mkdir build
cd build
cmake ..
make

4. How to run

All the executable files are in bin/ folder.

Then go the bin folder and run:

generate_edges_from_trajectory_origion.cpp

Useage: ./motionestimate currentFrame.id lastFrame.id (eg:)
input: config/config.yaml
output: config/Edge_Candidates_index.txt
Edge_Candidates_index.txt Format

currentFrame.id lastFrame.id loopFrameCandidatesIndex.id... (eg:) 4477 4476 24 25 26 27 28

motionestimate.cpp

Useage: ./motionestimate currentFrame.id lastFrame.id (eg:) KITTI sequence 00

./motionestimate 4477 28 you will see: 蓝色点为上一帧的keypoints 绿色点为当前帧的keypoints。 红色点为groundtruth投影到当前帧的点，红色连线是用groundtruth将上一帧2D点投影到当前帧与当前帧KeyPoints的连线，蓝色线为pnp或者ceres估计的位姿的连线。

Matches

matches

Reprojection-ceres

reprojection-ceres

Reprojection-pnp

repprojection-pnp

motionestimate_wholesequence.cpp

对整个序列做两帧之间的motionestimate

pose_graph_ceres_plus.cpp

回环帧之间的T计算方式改变，首先pnp获得inliers，然后用本质矩阵E从inliers里边恢复R，然后固定R和3D点，只优化t.

pose_graph_ceres_plus_final.cpp

从config/Edge_Candidates_index.txt中读取Edge，但务必记得先生成该文件，生成该文件的方式见generate_edges_from_trajectory_origion.cpp

After you run the pose_graph_ceres*.cpp.

You can get result in the result/ folder. And you can run ./.sh or ./.py to see some results! Please see result/PlotShow/README

then you will get result in result/ folder.

5. Show the results

get into the result/PlotShow folder run: ./plot*.sh then you will get: Pose_Graph and trajectory x_z

Good Luck to You!