# iss

**Repository Path**: one-zeros/iss

## Basic Information

- **Project Name**: iss
- **Description**: 中国科学院软件研究所可信智能系统团队，在开源自动驾驶（Self-driving System）方面构建了一个开放易用且自主可控的自动驾驶算法开发、测试、仿真与验证平台 Intell
- **Primary Language**: C/C++
- **License**: Not specified
- **Default Branch**: feature-prediction
- **Homepage**: https://www.oschina.net/p/iss
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 3
- **Created**: 2023-12-20
- **Last Updated**: 2023-12-20

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# ISS

## Install
Anaconda can be used for installation. Run following command to create a virtual environment:
```
conda create --name iss python=3.8
pip3 install -r requirements.txt
```
Then activate the virtual environment:
```
conda activate iss
```

## Build

Run following command to build the project:
```bash
python setup.py build_ext --inplace
```
We suggest using virtual environment under Windows system. Cython 3.0.0 is currently not supported, so please use Cython 0.29.xx instead. 0.29.{33, 36} are tested. For simulators' version control, we are currently using **CARLA 0.9.13** and **BeamNG 0.27.2.0**, therefore you should use **carla==0.9.13** and **beamngpy==1.25.1** in your virtual enviroment.

**Cautious**: Microsoft Visual C++ 14.0 or greater is required. To compile this project locally, you should have *visual-cpp-build-tools* pre-installed.

## Run tasks

### CARLA Data Collector
Run following command to start CARLA 0.9.13 Server:
```
${CARLA_ROOT}/CarlaUE4.sh -prefernvidia
```

Run following command to collect various kinds of sensor data from CARLA:
```bash
python run_carla.py
```
Make sure the CARLA 0.9.13 Server is opened before execution of `run_carla.py`. Data will be saved in `resources/data/carla`, which can be changed by modifying `{RAW_DATA, DATASET}_PATH`.