Driving intention inference based on a deep neural network with dropout regularization from adhesion coefficients in active collision avoidance control systems

HIGHLIGHTS

• who: Yufeng Lian et al. from the School of Electrical and Electronic Engineering, Changchun University of Technology, Kunming, China have published the article: Driving Intention Inference Based on a Deep Neural Network with Dropout Regularization from Adhesion Coefficients in Active Collision Avoidance Control Systems, in the Journal: Electronics 2022, 2284 of /2022/
• what: With the amount of data processing complex the actualofintention. this work, a deep network is designed road conditions structure the deepIn neural_network, theneural inferred driving intention from would deviate from rather than drivers. This also demonstrates that elecis greater than 180 m . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.