# Mugello

Reproducing the famous circuit in Tuscany with its unique driving sensations was a complex operation, due to the track's numerous ups and downs and corners. Reproducing the three-dimensional Ferrari Virtual Academy surrounding, the development team used Laserscan technology, thus creating a three-dimensional "cast" of the circuit with all its characteristics, including irregularities influencing a Formula 1 single-seater's setup and handling when driven at the limit.

<figure><img src="https://805735371-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FCEYrDmYcVLcZN1WwHEfO%2Fuploads%2FzFmvkoKPbdYkWVJGpdvr%2Fmu01.jpg?alt=media&#x26;token=c66d16a2-172e-4033-80c3-ca3c64f81380" alt=""><figcaption><p>The laser scan in effect</p></figcaption></figure>

This three-dimensional "cast", created using a cloud of 3D points, leads to creating a virtual model of the circuit, perfectly recalculating its characteristics and irregularities, from the kerbs to the slopes and the purely aesthetic elements, fundamental for driving on the track: the points of reference used by the drivers to determine the point of breaking. Distance signposts, special kerbs or distinctive walls or protection barriers have been reproduced by combining laserscan data with detailed, high-definition photographs along the circuit, accurately recreating characteristics and details on the computer, even the apparently most insignificant ones.

<figure><img src="https://805735371-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FCEYrDmYcVLcZN1WwHEfO%2Fuploads%2F7If5RBKKc8aaG3FkCdz5%2Fmu02.jpg?alt=media&#x26;token=8ceb75d2-4792-4275-9ab8-49a2fd490517" alt=""><figcaption></figcaption></figure>

<figure><img src="https://805735371-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FCEYrDmYcVLcZN1WwHEfO%2Fuploads%2FCOeRlQooZVew9LEQEpUf%2Fmu03.jpg?alt=media&#x26;token=347452e9-4dda-4ed8-9606-7cd50cefa55d" alt=""><figcaption></figcaption></figure>

<figure><img src="https://805735371-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FCEYrDmYcVLcZN1WwHEfO%2Fuploads%2FGciGceocTqmVqoTsxPjv%2Fmu04.jpg?alt=media&#x26;token=807f8883-e83b-464c-ae2d-054c9296cf78" alt=""><figcaption></figcaption></figure>

<figure><img src="https://805735371-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FCEYrDmYcVLcZN1WwHEfO%2Fuploads%2FjnvzPGAmSD0I9PFFC1tB%2Fmu05.jpg?alt=media&#x26;token=b2e0bf89-e4ce-49ad-9ea7-736d02387ab5" alt=""><figcaption></figcaption></figure>

{% embed url="<https://www.youtube.com/watch?v=mw9g4Jmhq9s>" %}

{% embed url="<https://www.youtube.com/watch?v=Hmy6UMR5Pv4>" %}

{% embed url="<https://www.youtube.com/watch?v=y4wRTwJIWUo>" %}

{% embed url="<https://www.youtube.com/watch?v=jhRU7mv19WU>" %}


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