Main Reference PaperTeaching a Vehicle to Autonomously Drift: A Data-based Approach Using Neural Networks, Knowledge-Based Systems, 2018 [R]
  • The hybrid model incorporates the Model Predictive Controller and the Feed Forward Neural Network that instructs an autonomous car for drift control in the absence of type friction data. It comprises of longitudinal dynamics-based road terrain classifier that modifies the system behavior based on the discovered terrain.

Description
  • The hybrid model incorporates the Model Predictive Controller and the Feed Forward Neural Network that instructs an autonomous car for drift control in the absence of type friction data. It comprises of longitudinal dynamics-based road terrain classifier that modifies the system behavior based on the discovered terrain.

  • To automatically control the drift system

  • To accomplish improved performance

Aim & Objectives
  • To automatically control the drift system

  • To accomplish improved performance

  • The technique is improved to adapt to the broadest range of road terrain

Contribution
  • The technique is improved to adapt to the broadest range of road terrain

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

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