Intelligent car autonomous driving tracking technology based on fuzzy information and multi-sensor fusion

HIGHLIGHTS

• What: This study has three parts in total. The speed planning of the model is described as the mapping relationship between the collected state variables and the output data. The experiments show that the MS-DTA algorithm is able to accurately predict the trajectory of vehicles located in the turning lane at intersections, and the SH-EKF algorithm has the case of incorrectly predicting the turning vehicle as traveling straight. This study proposes an MS-DTA algorithm based on fuzzy information and multi-sensor data fusion, and verifies its good performance in automatic driving trajectory prediction and . . .
  

   

  

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

  Thanks :)

  Username or E-mail:

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