Visualization of driving behavior using deep sparse autoencoder

  title={Visualization of driving behavior using deep sparse autoencoder},
  author={Hailong Liu and Tadahiro Taniguchi and Toshiaki Takano and Yusuke Tanaka and Kazuhito Takenaka and Takashi Bando},
  journal={2014 IEEE Intelligent Vehicles Symposium Proceedings},
Driving behavioral data is too high-dimensional for people to review their driving behavior. It includes accelerator opening rate, steering angle, brake Master-Cylinder pressure and other various information. The high-dimensional data is not very intuitive for drivers to understand their driving behavior when they take a look back on their recorded driving behavior. We used a deep sparse autoencoder to extract the low-dimensional high-level representation from high-dimensional raw driving… CONTINUE READING


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