MYNT-EYE-VINS-FUSION-Samples

KO | EN

gitlite — search

#javascript #typescript #machine-learning #deep-learning #linux #docker #windows #awesome #vue #pytorch #security #ios #mcp #open-source

MYNT-EYE-VINS-FUSION-Samples

(★ 63)

Forked from Vins-Fusion: https://github.com/HKUST-Aerial-Robotics/Vins-Fusion

MYNT-EYE-VINS-FUSION-Samples 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# MYNT-EYE-VINS-FUSION

## Prerequisites
### 1. **Ubuntu** and **ROS** and **Hardware**
Ubuntu 64-bit 16.04 or 18.04.
ROS Kinetic or Melodic. [ROS Installation](http://wiki.ros.org/ROS/Installation)

To complie with docker,we recommend that you should use more than 16G RAM, or ensure that the RAM and virtual memory space is greater than 16G.
### 2. **Install docker**
```
sudo apt-get update
sudo apt-get install \
    apt-transport-https \
    ca-certificates \
    curl \
    gnupg-agent \
    software-properties-common
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo add-apt-repository \
   "deb [arch=amd64] https://download.docker.com/linux/ubuntu \
   $(lsb_release -cs) \
   stable"
sudo apt-get update
sudo apt-get install docker-ce docker-ce-cli containerd.io    
```
Then add your account to `docker` group by `sudo usermod -aG docker $YOUR_USER_NAME`. **Relaunch the terminal or logout and re-login if you get `Permission denied` error**.

### 3. **Install MYNTEYE SDK**
Skip this if already installed.
[S-SDK Installation](https://mynt-eye-s-sdk.readthedocs.io/en/latest/src/sdk/source_install_ubuntu.html), [D-SDK Installation](https://mynt-eye-d-sdk.readthedocs.io/en/latest/installation/build_linux.html)

### 4. **Build docker image**
cd path/to/this_repo/docker

make build

## Run vins-fusion with mynteye-s

#### Stereo+imu fusion
```
cd path/to/MYNT-EYE-S-SDK
source wrappers/ros/devel/setup.bash
roslaunch mynt_eye_ros_wrapper vins_fusion.launch
```
Open another terminal
```
cd path/to/this_repo/docker
./run.sh mynteye-s/mynt_stereo_imu_config.yaml
```

## Run vins-fusion with mynteye-d
#### mono+imu fusion
```
cd path/to/MYNT-EYE-D-SDK
source wrappers/ros/devel/setup.bash
roslaunch mynteye_wrapper_d vins_fusion.launch stream_mode:=1 # stereo camera with 640x480
```
Open another terminal
```
cd path/to/this_repo/docker
./run.sh mynteye-d/mynt_mono_config.yaml
```
#### Stereo fusion
```
cd path/to/MYNT-EYE-D-SDK
source wrappers/ros/devel/setup.bash
roslaunch mynteye_wrapper_d vins_fusion.launch stream_mode:=1 # stereo camera with 640x480

```
Open another terminal
```
cd path/to/this_repo/docker
./run.sh mynteye-d/mynt_stereo_config.yaml
```

#### Stereo+imu fusion
```
cd path/to/MYNT-EYE-D-SDK
source wrappers/ros/devel/setup.bash
roslaunch mynteye_wrapper_d vins_fusion.launch  stream_mode:=1 # stereo camera with 640x480

```
Open another terminal
```
cd path/to/this_repo/docker
./run.sh mynteye-d/mynt_stereo_imu_config.yaml
```

## Run vins-fusion with mynteye-s2100

#### Stereo fusion
```
cd path/to/MYNT-EYE-S-SDK
source wrappers/ros/devel/setup.bash
roslaunch mynt_eye_ros_wrapper vins_fusion.launch
```
Open another terminal
```
cd path/to/this_repo/docker
./run.sh mynteye-s2100/mynt_stereo_config.yaml
```

#### Stereo+imu fusion
```
cd path/to/MYNT-EYE-S-SDK
source wrappers/ros/devel/setup.bash
roslaunch mynt_eye_ros_wrapper vins_fusion.launch
```
Open another terminal
```
cd path/to/this_repo/docker
./run.sh mynteye-s2100/mynt_stereo_imu_config.yaml
```

## Run vins-fusion with mynteye-s2110

#### Stereo fusion
```
cd path/to/MYNT-EYE-S-SDK
source wrappers/ros/devel/setup.bash
roslaunch mynt_eye_ros_wrapper vins_fusion.launch
```
Open another terminal
```
cd path/to/this_repo/docker
./run.sh mynteye-s2110/mynt_stereo_config.yaml
```

#### Stereo+imu fusion
```
cd path/to/MYNT-EYE-S-SDK
source wrappers/ros/devel/setup.bash
roslaunch mynt_eye_ros_wrapper vins_fusion.launch
```
Open another terminal
```
cd path/to/this_repo/docker
./run.sh mynteye-s2110/mynt_stereo_imu_config.yaml
```

## Tips
#### 1.If you want to use our slam device case with loop fusion. you should run the run.sh like this:
```
./run.sh -l mynteye-s/mynt_stereo_imu_config.yaml
```
![image](https://github.com/slightech/MYNT-EYE-VINS-FUSION-Samples/blob/docker_feat/support_files/image/mynteye_s1_loop.png)

#### 2.When you execute the above steps correctly, you can find 2 files generated in the target config dir.
   
```
device_params_left.yaml  (the left camera calib info)
device_params_right.yaml  (the right camera calib info)
```

If you wan't to calib the imu TF by yourself, you should be careful.
By the way,you can check the data if you get the unsatisfactory result.

#### 3.If you want to use other config.yml in this project,please remind the params in config.yml behind.
```
use_mynteye_adapter: 1  (1：use mynteye calib adapter auto; 0/null: do not use mynteye calib adapter)
mynteye_imu_srv: "d/s1/s2" (d: use d imu extri ros service; s1: use s1 imu extri ros service; s2: use s2 imu extri ros service; ""/null: do not use mynteye imu extri ros service)
```

# VINS-Fusion
## An optimization-based multi-sensor state estimator

VINS-Fusion is an optimization-based multi-sensor state estimator, which achieves accurate self-localization for autonomous applications (drones, cars, and AR/VR). VINS-Fusion is an extension of [VINS-Mono](https://github.com/HKUST-Aerial-Robotics/VINS-Mono), which supports multiple visual-inertial sensor types (mono camera + IMU, stereo cameras + IMU, even stereo cameras only). We also show a toy example of fusing VINS with GPS. 
**Features:**
- multiple sensors support (stereo cameras / mono camera+IMU / stereo cameras+IMU)
- online spatial calibration (transformation between camera and IMU)
- online temporal calibration (time offset between camera and IMU)
- visual loop closure

We are the **top** open-sourced stereo algorithm on [KITTI Odometry Benchmark](http://www.cvlibs.net/datasets/kitti/eval_odometry.php) (12.Jan.2019).

**Authors:** [Tong Qin](http://www.qintonguav.com), Shaozu Cao, Jie Pan, [Peiliang Li](https://peiliangli.github.io/), and [Shaojie Shen](http://www.ece.ust.hk/ece.php/profile/facultydetail/eeshaojie) from the [Aerial Robotics Group](http://uav.ust.hk/), [HKUST](https://www.ust.hk/)

**Videos:**

**Related Paper:** (paper is not exactly same with code)

* **Online Temporal Calibration for Monocular Visual-Inertial Systems**, Tong Qin, Shaojie Shen, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS, 2018), **best student paper award** [pdf](https://ieeexplore.ieee.org/abstract/document/8593603)

* **VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator**, Tong Qin, Peiliang Li, Shaojie Shen, IEEE Transactions on Robotics [pdf](https://ieeexplore.ieee.org/document/8421746/?arnumber=8421746&source=authoralert)

*If you use VINS-Fusion for your academic research, please cite our related papers. [bib](https://github.com/HKUST-Aerial-Robotics/VINS-Fusion/blob/master/support_files/paper_bib.txt)*

## 1. Prerequisites
### 1.1 **Ubuntu** and **ROS**
Ubuntu 64-bit 16.04 or 18.04.
ROS Kinetic or Melodic. [ROS Installation](http://wiki.ros.org/ROS/Installation)

### 1.2. **Ceres Solver**
Follow [Ceres Installation](http://ceres-solver.org/installation.html).

## 2. Build VINS-Fusion
Clone the repository and catkin_make:
```
    cd ~/catkin_ws/src
    git clone https://github.com/HKUST-Aerial-Robotics/VINS-Fusion.git
    cd ../
    catkin_make
    source ~/catkin_ws/devel/setup.bash
```
(if you fail in this step, try to find another computer with clean system or reinstall Ubuntu and ROS)

## 3. EuRoC Example
Download [EuRoC MAV Dataset](http://projects.asl.ethz.ch/datasets/doku.php?id=kmavvisualinertialdatasets) to YOUR_DATASET_FOLDER. Take MH_01 for example, you can run VINS-Fusion with three sensor types (monocular camera + IMU, stereo cameras + IMU and stereo cameras). 
Open four terminals, run vins odometry, visual loop closure(optional), rviz and play the bag file respectively. 
Green path is VIO odometry; red path is odometry under visual loop closure.

### 3.1 Monocualr camera + IMU

```
    roslaunch vins vins_rviz.launch
    rosrun vins vins_node ~/catkin_ws/src/VINS-Fusion/config/euroc/euroc_mono_imu_config.yaml 
    (optional) rosrun loop_fusion loop_fusion_node ~/catkin_ws/src/VINS-Fusion/config/euroc/euroc_mono_imu_config.yaml 
    rosbag play YOUR_DATASET_FOLDER/MH_01_easy.bag
```

### 3.2 Stereo cameras + IMU

```
    roslaunch vins vins_rviz.launch
    rosrun vins vins_node ~/catkin_ws/src/VINS-Fusion/config/euroc/euroc_stereo_imu_config.yaml 
    (optional) rosrun loop_fusion loop_fusion_node ~/catkin_ws/src/VINS-Fusion/config/euroc/euroc_stereo_imu_config.yaml 
    rosbag play YOUR_DATASET_FOLDER/MH_01_easy.bag
```

### 3.3 Stereo cameras

```
    roslaunch vins vins_rviz.launch
    rosrun vins vins_node ~/catkin_ws/src/VINS-Fusion/config/euroc/euroc_stereo_config.yaml 
    (optional) rosrun loop_fusion loop_fusion_node ~/catkin_ws/src/VINS-Fusion/config/euroc/euroc_stereo_config.yaml 
    rosbag play YOUR_DATASET_FOLDER/MH_01_easy.bag
```

## 4. KITTI Example
### 4.1 KITTI Odometry (Stereo)
Download [KITTI Odometry dataset](http://www.cvlibs.net/datasets/kitti/eval_odometry.php) to YOUR_DATASET_FOLDER. Take sequences 00 for example,
Open two terminals, run vins and rviz respectively. 
(We evaluated odometry on KITTI benchmark without loop closure funtion)
```
    roslaunch vins vins_rviz.launch
    (optional) rosrun loop_fusion loop_fusion_node ~/catkin_ws/src/VINS-Fusion/config/kitti_odom/kitti_config00-02.yaml
    rosrun vins kitti_odom_test ~/catkin_ws/src/VINS-Fusion/config/kitti_odom/kitti_config00-02.yaml YOUR_DATASET_FOLDER/sequences/00/ 
```
### 4.2 KITTI GPS Fusion (Stereo + GPS)
Download [KITTI raw dataset](http://www.cvlibs.net/datasets/kitti/raw_data.php) to YOUR_DATASET_FOLDER. Take [2011_10_03_drive_0027_synced](https://s3.eu-central-1.amazonaws.com/avg-kitti/raw_data/2011_10_03_drive_0027/2011_10_03_drive_0027_sync.zip) for example.
Open three terminals, run vins, global fusion and rviz respectively. 
Green path is VIO odometry; blue path is odometry under GPS global fusion.
```
    roslaunch vins vins_rviz.launch
    rosrun vins kitti_gps_test ~/catkin_ws/src/VINS-Fusion/config/kitti_raw/kitti_10_03_config.yaml YOUR_DATASET_FOLDER/2011_10_03_drive_0027_sync/ 
    rosrun global_fusion global_fusion_node
```

## 5. VINS-Fusion on car demonstration
Download [car bag](https://drive.google.com/open?id=10t9H1u8pMGDOI6Q2w2uezEq5Ib-Z8tLz) to YOUR_DATASET_FOLDER.
Open four terminals, run vins odometry, visual loop closure(optional), rviz and play the bag file respectively. 
Green path is VIO odometry; red path is odometry under visual loop closure.
```
    roslaunch vins vins_rviz.launch
    rosrun vins vins_node ~/catkin_ws/src/VINS-Fusion/config/vi_car/vi_car.yaml 
    (optional) rosrun loop_fusion loop_fusion_node ~/catkin_ws/src/VINS-Fusion/config/vi_car/vi_car.yaml 
    rosbag play YOUR_DATASET_FOLDER/car.bag
```

## 6. Run with your devices 
VIO is not only a software algorithm, it heavily relies on hardware quality. For beginners, we recommend you to run VIO with professional equipment, which contains global shutter cameras and hardware synchronization.

### 6.1 Configuration file
Write a config file for your device. You can take config files of EuRoC and KITTI as the example.

### 6.2 Camera calibration
VINS-Fusion support several camera models (pinhole, mei, equidistant). You can use [camera model](https://github.com/hengli/camodocal) to calibrate your cameras. We put some example data under /camera_models/calibrationdata to tell you how to calibrate.
```
cd ~/catkin_ws/src/VINS-Fusion/camera_models/camera_calib_example/
rosrun camera_models Calibrations -w 12 -h 8 -s 80 -i calibrationdata --camera-model pinhole
```

## 7. Docker Support
To further facilitate the building process, we add docker in our code. Docker environment is like a sandbox, thus makes our code environment-independent. To run with docker, first make sure [ros](http://wiki.ros.org/ROS/Installation) and [docker](https://docs.docker.com/install/linux/docker-ce/ubuntu/) are installed on your machine. Then add your account to `docker` group by `sudo usermod -aG docker $YOUR_USER_NAME`. **Relaunch the terminal or logout and re-login if you get `Permission denied` error**, type:
```
cd ~/catkin_ws/src/VINS-Fusion/docker
make build
```
Note that the docker building process may take a while depends on your network and machine. After VINS-Fusion successfully built, you can run vins estimator with script `run.sh`.
Script `run.sh` can take several flags and arguments. Flag `-k` means KITTI, `-l` represents loop fusion, and `-g` stands for global fusion. You can get the usage details by `./run.sh -h`. Here are some examples with this script:
```
# Euroc Monocualr camera + IMU
./run.sh ~/catkin_ws/src/VINS-Fusion/config/euroc/euroc_mono_imu_config.yaml

# Euroc Stereo cameras + IMU with loop fusion
./run.sh -l ~/catkin_ws/src/VINS-Fusion/config/euroc/euroc_mono_imu_config.yaml

# KITTI Odometry (Stereo)
./run.sh -k ~/catkin_ws/src/VINS-Fusion/config/kitti_odom/kitti_config00-02.yaml YOUR_DATASET_FOLDER/sequences/00/

# KITTI Odometry (Stereo) with loop fusion
./run.sh -kl ~/catkin_ws/src/VINS-Fusion/config/kitti_odom/kitti_config00-02.yaml YOUR_DATASET_FOLDER/sequences/00/

#  KITTI GPS Fusion (Stereo + GPS)
./run.sh -kg ~/catkin_ws/src/VINS-Fusion/config/kitti_raw/kitti_10_03_config.yaml YOUR_DATASET_FOLDER/2011_10_03_drive_0027_sync/

```
In Euroc cases, you need open another terminal and play your bag file. If you need modify the code, simply re-run `./run.sh` with proper auguments after your changes.

## 8. Acknowledgements
We use [ceres solver](http://ceres-solver.org/) for non-linear optimization and [DBoW2](https://github.com/dorian3d/DBoW2) for loop detection, a generic [camera model](https://github.com/hengli/camodocal) and [GeographicLib](https://geographiclib.sourceforge.io/).

## 9. License
The source code is released under [GPLv3](http://www.gnu.org/licenses/) license.

We are still working on improving the code reliability. For any technical issues, please contact Tong Qin <qintonguavATgmail.com>.

For commercial inquiries, please contact Shaojie Shen <eeshaojieATust.hk>.

MYNT-EYE-VINS-FUSION-Samples

MYNT-EYE-VINS-FUSION-Samples 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

MYNT-EYE-VINS-FUSION-Samples

MYNT-EYE-VINS-FUSION-Samples 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README