A bidirectional trajectory contrastive learning model for driving intention prediction
Abstract Driving intention prediction with trajectory data of surrounding vehicles is critical to advanced driver assistance system for improving the accuracy of decision-making. Previous works mostly focused on trajectory representation based on supervised manners. However, learning generalized and...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2023-01-01
|
Series: | Complex & Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s40747-022-00945-w |