https://github.com/pptacher/fastslam_web
Experimental fastslam algorithm web application.
https://github.com/pptacher/fastslam_web
cpp11 docker javascript libuv n-api nodejs probabilistic-robotics socket-io v8-javascript-engine webgl
Last synced: 12 months ago
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Experimental fastslam algorithm web application.
- Host: GitHub
- URL: https://github.com/pptacher/fastslam_web
- Owner: pptacher
- License: mit
- Created: 2019-03-07T20:54:34.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2022-12-09T15:02:11.000Z (about 3 years ago)
- Last Synced: 2025-01-12T18:38:58.677Z (about 1 year ago)
- Topics: cpp11, docker, javascript, libuv, n-api, nodejs, probabilistic-robotics, socket-io, v8-javascript-engine, webgl
- Language: JavaScript
- Homepage:
- Size: 4.45 MB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 13
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# fastslam_web
Experimental fastslam algorithm web application. C++ application is running asynchronously, streaming particles positions to node.js server. Data is forwarded to client through socket.
I deployed the fastslam nodejs/c++ app on google cloud [here](http://35.242.140.13:8080) (server running from 0000 to 0800 UTC).
## Installation
To deploy locally:
1. Install [Docker](https://www.docker.com/get-started) on your machine.
2. Clone the repository
```
git clone https://github.com/pptacher/fastslam_web.git
```
3. Go to the root of the repository
```
cd fastslam_web
```
4. Build the docker image
```
docker build --tag=fastslam .
```
5. Run it
```
docker run -p 3000:3000 fastslam
```
6. Navigate to [http://localhost:3000](http://localhost:3000). If you use Docker through Linux virtual machine (MacOS), you may have to access the web app with something like [192.168.99.100:3000](http://192.168.99.100:3000).
See also the [Docker cheat sheet](https://www.docker.com/sites/default/files/Docker_CheatSheet_08.09.2016_0.pdf).