vslam_evaluation

KO | EN

gitlite — search

#javascript #hacktoberfest #react #ai #typescript #machine-learning #deep-learning #docker #macos #java #cli #kubernetes #awesome-list #security

vslam_evaluation

(★ 58)

Evaluation of open-source visual SLAM packages

vslam_evaluation 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# Visual SLAM evaluation code

Code for the evaluation of open-source visual-odometry/SLAM systems I wrote about [in my blog](http://nicolovaligi.com/open-source-visual-slam-evaluation.html). You'll need to install the packages separately, as this repo only contains the configurations and ROS launch file needed to reproduce my results.

- *viso2*: [repo](https://github.com/srv/viso2)
- *rovio*: [repo](https://github.com/ethz-asl/rovio)
- *ORB-SLAM2*: [repo](https://github.com/raulmur/ORB_SLAM2)

Remember that all of these packages greatly benefit from compiler optimization, and need the appropriate `CMake` flags when building:

```
catkin build package --cmake-args -DCMAKE_BUILD_TYPE=Release
```

## Running

First, download the `V1_01_easy.bag` from the [dataset page](http://projects.asl.ethz.ch/datasets/doku.php?id=kmavvisualinertialdatasets) into your home folder. Each of the launch files will record its output into a new bag in the `out` folder:

```
roslaunch vslam_evaluation orbslam.launch
roslaunch vslam_evaluation rovio.launch
roslaunch vslam_evaluation viso2.launch
```

You can then run the plotting code (both Matplotlib and Plotly).

vslam_evaluation

vslam_evaluation 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

vslam_evaluation

vslam_evaluation 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README