# Visualizing lidar data
Visualizing lidar data using Uber Autonomous Visualization System (AVS) and a Jupyter Notebook Application
This project contains two different applications for visualizing lidar data using KITTI Vision Benchmark Suite datasets.
![ubPic](https://user-images.githubusercontent.com/30608533/58125546-7924eb00-7c19-11e9-93e1-c69c5465edb9.png)
## 1. Uber AVS Autonomous Visualization System (AVS) --- XVIZ (the data layer for AVS)
### Quick start
You need [Node.js](https://nodejs.org/en/) and [yarn](https://yarnpkg.com/lang/en/docs/install) to
run the examples.
```bash
# Clone XVIZ
$ git clone https://github.com/uber/xviz.git
$ cd xviz
# Install dependencies
$ yarn bootstrap
```
Convert and serve KITTI example data:
```bash
# Download KITTI data
$ ./scripts/download-kitti-data.sh
# Convert KITTI data if necessary and run the XVIZ Server and Client
$ ./scripts/run-kitti-example.sh
```
# 2. KITTI Dataset Exploration
## Dependencies
Apart from the common dependencies like `numpy` and `matplotlib` notebook requires [`pykitti`](https://github.com/utiasSTARS/pykitti). You can install `pykitti` via pip using:
```
pip install pykitti
```
## Project structure
| File | Description |
| ---------------------- | ------------------------------------------------------------------------------------------------ |
| `kitti-dataset.ipynb` | Jupyter Notebook with dataset visualisation routines and output. |
| `parseTrackletXML.py` | Methods for parsing tracklets (e.g. dataset labels), originally created by Christian Herdtweck. |
| `utilities.py` | Convenient logging routines.
I have used one of the raw datasets available on [KITTI website](http://www.cvlibs.net/datasets/kitti/raw_data.php).
2011_09_26_drive_0005 (0.6 GB)
**Length**: 160 frames (00:16 minutes)
**Image resolution**: 1392 x 512 pixels
**Labels**: 9 Cars, 3 Vans, 0 Trucks, 2 Pedestrians, 0 Sitters, 1 Cyclists, 0 Trams, 0 Misc
![notebook1](https://user-images.githubusercontent.com/30608533/58126353-75926380-7c1b-11e9-9be2-3b2e5177887e.jpg)
![5ce4618251634176609181](https://user-images.githubusercontent.com/30608533/58129044-96f64e00-7c21-11e9-9f7e-7a9b18930ff9.gif)
## References:
- **Uber Xviz** A protocol for real-time transfer and visualization of autonomy data - https://github.com/uber/xviz
- Alex Staravoitau **Visualizing lidar data** --- https://navoshta.com/kitti-lidar/
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Visualizing-lidar-data:使用Uber自主可视化系统(AVS)和Jupyter Notebook应用程序可视...
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可视化激光雷达数据 使用Uber自主可视化系统(AVS)和Jupyter Notebook应用程序可视化激光雷达数据 该项目包含两个不同的应用程序,这些应用程序使用KITTI Vision Benchmark Suite数据集可视化激光雷达数据。 1. Uber AVS自主可视化系统(AVS)-XVIZ(AVS的数据层) 快速开始 您需要和来运行示例。 # Clone XVIZ $ git clone https://github.com/uber/xviz.git $ cd xviz # Install dependencies $ yarn bootstrap 转换并提供KITTI示例数据: # Download KITTI data $ ./scripts/download-kitti-data.sh # Convert KITTI data if necessary and
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