To analyze and visualize all stuff after experimental studies.
OpenDS initial data is a series of vehicle data (e.g. Spped (m/s)). However, we need to split it into three sections and analyze each section's data. In addition, some situations might happen during the process of data collection (e.g. restart after some sections), these situations required checking movement track manually. Therefore, preprocessing, visualization and analysis are required for initial OpenDS data. Hereby, we represent this analyze tool for OpenDS data.
The project aims to take OpenDS initial data as input, generate six txt files of position data and vehicle data. In addtion, it will generate an planform of OpenDS scene for manually checking. We uploaded an example file for preprocessing and visualization.
- Process the OpenDS initial data, split it into three sections by position data (when the car reach the boundary)
- Export three files consist of motion data and three files consists of position data.
- Plot the planform of OpenDS scene and it would show on the screnn for manually checking.
- Export planform.png
python scripts/preprocessing.py ../examples/input/carData_track1.txt
PS:If you want to add a new scene to analyze, then modify coordinates.txt (format: coordinates of the corners from down to up, left to right)
| Name | Type | Description |
|---|---|---|
| carData_track1.txt | Input | Vehicle data generated by OpenDS (e.g. Speed (m/s)) |
| section.txt | Output | Motion data split from carData_track1.txt by sections |
| position.txt | Output | Coordinate information split from carData_track1.txt by sections |
| planform.png | Output | OpenDS scene planform |
An example of OpenDS Scene Planform by matplotlib.
Zhentao Huang, Weikai Kong, mentored by Xiangjun Peng