https://github.com/aggrathon/caraisimulator
Selfdriving car AI and a simulator to drive in
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (7.9%) to scientific vocabulary
Keywords
Repository
Selfdriving car AI and a simulator to drive in
Basic Info
- Host: GitHub
- Owner: Aggrathon
- License: apache-2.0
- Language: C#
- Default Branch: master
- Size: 30.4 MB
Statistics
- Stars: 20
- Watchers: 3
- Forks: 5
- Open Issues: 0
- Releases: 1
Topics
Metadata Files
readme.md
Selfdriving Car AI and Simulator
This project contains a neural network for driving a car in a simulator. The simulator is also part of the project. The goal with not using a existing game/simulator is to allow more control over the data being fed to the AI, which made some experimentation possible.
Simulator
The simulator is made with unity. It generates random terrains in order to create varied learning situations. The simulator communicates with the AI through a local socket, this means that often both the simulator and the AI have to be started.
AI
The AI receives the following input:
1. A color image.
2. A grayscale image created from the depth and normal buffers (a LADAR scanner would be the real life equivalent).
3. The current speed of the car.
The output is acceleration and turning values.
Download
A windows version of the simulator can be downloaded here. The trained network is unfortunately too big to distribute here (maybe the fully connected layers coud be smaller).
Usage
Here is the normal flow for using the AI:
1. Use the simulator and the record.py script to to create examples of how humans drive.
2. Train the AI on the recorded examples using the learn.py script.
3. Improve the AI with reinforcement learning, using the simulator and the train.py script.
4. Let the AI drive in the simulator with the drive.py script.
Dependencies
- Python 3
- Tensorflow
- Unity (2017.2)
Owner
- Name: Anton Björklund
- Login: Aggrathon
- Kind: user
- Company: @edahelsinki
- Repositories: 3
- Profile: https://github.com/Aggrathon
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 1
- Total pull requests: 0
- Average time to close issues: 2 minutes
- Average time to close pull requests: N/A
- Total issue authors: 1
- Total pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 0
- Average time to close issues: 2 minutes
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- busy0161 (1)