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About
We developed a simulation for driverless formula student car.
Our simulation allows developers to train and test self driving algorithms.
Also, it illustrates the environment of a formula student track.
Building new tracks is simple and easy.
You can use the Technion Formula Student car model of 2016 to simulate the exact physics and dynamics.
Car Model
The graphic model of the Technion Formula Student car with the same dynamics of the real car.
We used the exact model which the real car components were built from.
We simulated mass, materials and textures.
![](https://static.wixstatic.com/media/378da3_fca6526e94ad48548c33c8e8eec13f66~mv2.jpeg/v1/crop/x_290,y_126,w_455,h_366/fill/w_340,h_273,al_c,q_80,usm_0.66_1.00_0.01,enc_auto/378da3_fca6526e94ad48548c33c8e8eec13f66~mv2.jpeg)
![](https://static.wixstatic.com/media/378da3_d10d7555b2314f1085898c240de84c96~mv2.jpg/v1/fill/w_340,h_233,al_c,q_80,usm_0.66_1.00_0.01,enc_auto/378da3_d10d7555b2314f1085898c240de84c96~mv2.jpg)
Traffic Cones
The graphic model of the traffic cones from the Formula Student competition.
We simulate the physics, materials and textures of the real cones.
You can build new tracks with the track creation tool, in an easy and simple way.
Algorithms
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The more realistic the environment is, the more precise the algorithm can be after transferring it to a real car.
We are focusing on two different types of learning methods:
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Imitation Learning
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Reinforcement Learning.
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Contact us
Developers: Tom Hirshberg and Dean Zadok
Technion Labs: CGGC and ISL
© 2018 by Tom Hirshberg and Dean Zadok. Proudly created with Wix.com