# Indoor_positioning_dataset

**Repository Path**: 623Jason/indoor_positioning_dataset

## Basic Information

- **Project Name**: Indoor_positioning_dataset
- **Description**: a new openly available Wi-Fi fingerprint dataset
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-10-30
- **Last Updated**: 2021-11-04

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Indoor_positioning_dataset

#### Description
a new openly available Wi-Fi fingerprint dataset

#### Software Architecture
Based on python for data processing


#### Instructions
we present a new openly available Wi-Fi fingerprint dataset, comprised of rss,rgb images,imu data and groudtruth which collected with turtlebot3 in Hunan University Provincial key laboratory .
1.  associate_rgb.txt 
which associate rgb images with groundtruth(amcl positioning results ).
The format of each line is timestamps(rgb)  rgb.jpg  timestamps(groundtruth)  x  y  z  q_i  q_j  q_k  q_w.
2.  associate_rss.txt 
which associate wifi fingerprints with groundtruth(amcl positioning results ).
The format of each line is timestamps(rss)  ssid  mac_address  rssi ....  timestamps(groundtruth)  x  y  z  q_i  _j  q_k  q_w
3. folder test/ contains images and rss used to verify your own positioning algorithm.you can compare your results with the groundtruth.
4. groundtruth trajectory：
![Image description](https://images.gitee.com/uploads/images/2021/1104/231846_7f1f5984_1106384.png "Screenshot from 2021-11-04 22-45-32.png")
5.  please feel free to contact with me if you have any questions .