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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Euro Truck Simulator 2 autonomous driving solution
| Date | Stars |
|---|---|
| 2026-07-24 | 740 |
| 2026-07-25 | 740 |
| 2026-07-28 | 740 |
| 2026-07-30 | 740 |
| 2026-08-06 | 740 |
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# <img src="https://github.com/bethesirius/ChosunTruck/blob/master/README/Logo.png" width="64">ChosunTruck ## Introduction ChosunTruck is an autonomous driving solution for [Euro Truck Simulator 2](https://eurotrucksimulator2.com/). Recently, autonomous driving technology has become a big issue and as a result we have been studying technology that incorporates this. It is being developed in a simulated environment called Euro Truck Simulator 2 to allow us to study it using vehicles. We chose Euro Truck Simulator 2 because this simulator provides a good test environment that is similar to the real road. ## Features * You can drive a vehicle without handling it yourself. * You can understand the principles of autonomous driving. * (Experimental/Linux only) You can detect where other vehicles are. ## How To Run It ### Windows #### Dependencies - OS: Windows 7, 10 (64bit) - IDE: Visual Studio 2013, 2015 - OpenCV version: >= 3.1 - [Cuda Toolkit 7.5](https://developer.nvidia.com/cuda-75-downloads-archive) (Note: Do an ADVANCED INSTALLATION. ONLY install the Toolkit + Integration to Visual Studio. Do NOT install the drivers + other stuff it would normally give you. Once installed, your project properties should look like this: https://i.imgur.com/e7IRtjy.png) - If you have a problem during installation, look at our [Windows Installation wiki page](https://github.com/bethesirius/ChosunTruck/wiki/Windows-Installation) #### Required to allow input to work in Windows: - **Go to C:\Users\YOURUSERNAME\Documents\Euro Truck Simulator 2\profiles and edit controls.sii from** ``` config_lines[0]: "device keyboard `di8.keyboard`" config_lines[1]: "device mouse `fusion.mouse`" ``` to ``` config_lines[0]: "device keyboard `sys.keyboard`" config_lines[1]: "device mouse `sys.mouse`" ``` (thanks Komat!) - **While you are in controls.sii, make sure your sensitivity is set to:** ``` config_lines[33]: "constant c_rsteersens 0.775000" config_lines[34]: "constant c_asteersens 4.650000" ``` #### Then: - Set controls.sii to read-only - Open the visual studio project and build it. - Run ETS2 in windowed mode and set resolution to 1024 * 768.(It will work properly with 1920 * 1080 screen resolution and 1024 * 768 window mode ETS2.) ### Linux #### Dependencies - OS: Ubuntu 16.04 LTS - [OpenCV version: >= 3.1](http://embedonix.com/articles/image-processing/installing-opencv-3-1-0-on-ubuntu/) - (Optional) Tensorflow version: >= 0.12.1 ### Build the source code with the following command (inside the linux directory). ``` make ``` ### If you want the car detection function then: ```` make Drive ```` #### Then: - Run ETS2 in windowed mode and set its resolution to 1024 * 768. (It will work properly with 1920 * 1080 screen resolution and 1024 * 768 windowed mode ETS2) - It cannot find the ETS2 window automatically. Move the ETS2 window to the right-down corner to fix this. - In ETS2 Options, set controls to 'Keyboard + Mouse Steering', 'left click' to acclerate, and 'right click' to brake. - Go to a highway and set the truck's speed to 40~60km/h. (I recommend you turn on cruise mode to set the speed easily) - Run this program! #### To enable car detection mode, add -D or --Car_Detection. ``` ./ChosunTruck [-D|--Car_Detection] ``` ## Troubleshooting See [Our wiki page](https://github.com/bethesirius/ChosunTruck/wiki/Troubleshooting). If you have some problems running this project, reference the demo video below. Or, [open a issue to contact our team](https://github.com/bethesirius/ChosunTruck/issues). ## Demo Video Lane Detection (Youtube link) [](http://www.youtube.com/watch?v=vF7J_uC045Q) [](http://www.youtube.com/watch?v=qb99czlIklA) Lane Detection + Vehicle Detection (Youtube link) [](http://www.youtube.com/watch?v=w6H2eGEvzvw) ## Todo * For better detection per
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:6b2da055c82c815b, topic:autonomous-driving, desc:autonomous driving, readme:autonomous driving
matched fp:6b2da055c82c815b, topic:tensorflow
matched fp:6b2da055c82c815b, topic:opencv