This is an Open Source Python Framework for prototyping ADAS and Autonomous Vehicles. It supports only Lateral Control now.
- Tested Development Environment
- Getting Started
- Running the demo
- Architecture
- Use Cases
- Acknowledgments
- License
- Processer: Intel Core i9-9900K CPU @ 3.60GHz ร 16
- Memory: 16GB
- Graphics: NVIDIA GeForce RTX 2080/PCIe/SSE2
- OS Types: Ubuntu 16.04 LTS 64-bit
- Disk: 240GB
$ cd ~/
$ git clone https://github.com/YanbaruRobotics/PythonPilot
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Python 3.5.x
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matplotlib 3.0.2
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numpy 1.16.1
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OpenCV 3.4.5
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scipy 1.2.1
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tensorflow 1.13.0
$ cd ~/PythonPilot/
$ sudo pip3 install -r requirements.txt
$ cd ~/PythonPilot/
$ wget https://www.dropbox.com/s/i7b6eyzucoxs0fq/models.zip # 800 MB
$ unzip models.zip
$ rm -r models.zip
$ cd ~/PythonPilot/
$ wget https://www.dropbox.com/s/mo6zo1oo2s46l02/log.zip # 600 MB
$ unzip log.zip
$ rm -r log.zip
$ cd ~/PythonPilot/scripts/
$ bash run_vehicle_main.sh
Open a new terminal.
$ cd ~/PythonPilot/scripts/
$ bash run_pilot_main.sh
Type 'Ctrl' + 'c' in both terminals.
You can see other example videos at here.
- The Lane Segmnetation is built upon LaneNet and BDD100K data.
- The Object Detection is built upon realtime_object_detection.
This project is licensed under the Apache License 2.0 - see the LICENSE file for details
THIS IS ALPHA QUALITY SOFTWARE FOR RESEARCH AND EDUCATION PURPOSES ONLY. YOU ARE RESPONSIBLE FOR USING WITH LOCAL LAWS AND REGULATIONS. NO WARRANTY EXPRESSED OR IMPLIED.