Main Reference PaperMultivariate time series prediction of lane changing behavior using deep neural network, Applied Intelligence, 2018 [Java/Python/R]
  • A Multivariate Time Series- Group-wise Convolutional Neural Network (MTS-GCNN) is proposed to predict driver’s lane change behavior from 22 physiological signals. The proposed learning model is used to extract spatial and term constrained distance-based clustering for time-series-a portal features from raw MTS signals and classifies MTS patterns based on the extracted feature vectors.

+ Description
  • A Multivariate Time Series- Group-wise Convolutional Neural Network (MTS-GCNN) is proposed to predict driver’s lane change behavior from 22 physiological signals. The proposed learning model is used to extract spatial and term constrained distance-based clustering for time-series-a portal features from raw MTS signals and classifies MTS patterns based on the extracted feature vectors.

  • To improve the prediction accuracy.

  • To predict the drivers’ behavior for a lane change.

+ Aim & Objectives
  • To improve the prediction accuracy.

  • To predict the drivers’ behavior for a lane change.

  • To improve the prediction accuracy, the data is preprocessed before training the dataset.

+ Contribution
  • To improve the prediction accuracy, the data is preprocessed before training the dataset.

  • OS: Ubuntu 12.04 LTS 64bit

  • Language: Java/Python/R

+ Software Tools & Technologies
  • OS: Ubuntu 12.04 LTS 64bit

  • Language: Java/Python/R

  • 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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