Autonomous Driving Behavior Prediction Method Based on Improved Hidden Markov Model
Author:
Affiliation:
1. Shanghai Institute of Technology,Department of Science,Shanghai,China
2. Shanghai Institute of Technology,Department of Computer Science,Shanghai,China
Funder
Shanghai Institute of Technology
Shanghai Rising-Star Program
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9775971/9776016/09776157.pdf?arnumber=9776157
Reference18 articles.
1. An Automatic Emergency Braking Model considering Driver’s Intention Recognition of the Front Vehicle;yang;Journal of Advanced Transportation,2020
2. A driving intention prediction method based on hidden Markov model for autonomous driving
3. Adaptive shared control strategy for lane changing assistance system via multi-mode switching
4. Research on High Precision Tracking Method of Guided Transport Vehicle Based on Autonomous Combination Positioning
5. Driving Intention Recognition Based on Double-layer HMM;zong;Automotive Engineering,2021
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1. Vehicle Trajectory Prediction in Expressway Merging Areas Based on Self-Supervised Mechanism;Journal of Transportation Engineering, Part A: Systems;2024-05
2. Machine learning for autonomous vehicle's trajectory prediction: A comprehensive survey, challenges, and future research directions;Vehicular Communications;2024-01
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