A.I. Integrated Automotive Suspension

Project Description:

This automotive suspension which integrates A.I. is intended to highlight the shortcomings of traditional static and dynamic suspensions while offering an innovative, bleeding edge solution. The fundamental goal of this product is to vastly out-perform traditional suspension setups in road and track applications. The A.I. suspension system will integrate an array of sensors that relays driving condition information, including information about the road ahead, to a central computer on the car that uses artificial intelligence to process the information. It will use that data to make predictive changes to the suspension geometry of the car in order to achieve optimal performance while cornering.

Despite not having a client, our team remained results-oriented throughout the entirety of the development process. Using Scrum and Kanban development methodologies, we managed to stick to our timelines and realize our goals within the expected time period. This allowed us to communicate our progress effectively within the team and with our professors. Eventually, we would like to pitch our idea as a proof of concept to a large-scale automotive manufacturer within the performance sphere (such as McLaren, Ferrari, Mercedes, Toyota, or Mazda).

During the development cycle of the last 8 months, the team went from having a basic idea as to what artificial intelligence is, all the way to being fully immersed in the development of our own neural networks and the management of large datasets.

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