Search Results for author:
Found 3 papers, 0 papers with code
A Novel Temporal Multi-Gate Mixture-of-Experts Approach for Vehicle Trajectory and Driving Intention Prediction
Keywords: Vehicle trajectory prediction, driving intentions Classification, Multi-task
A Comparative Analysis of Machine Learning Methods for Lane Change Intention Recognition Using Vehicle Trajectory Data
Accurately detecting and predicting lane change (LC)processes can help autonomous vehicles better understand their surrounding environment, recognize potential safety hazards, and improve traffic safety.
Lane Change Intention Recognition and Vehicle Status Prediction for Autonomous Vehicles
The results indicate that the classification accuracy of LC intention was improved from 96. 14% to 98. 20% when incorporating the attention mechanism into the TCN model.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
