A Novel Model Driven Approach for Trajectory-Based Technique of Autonomous Vehicle Route Prediction-Reference-Cited by-同舟云学术

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A Novel Model Driven Approach for Trajectory-Based Technique of Autonomous Vehicle Route Prediction

Published:2021-12-22 Issue: Volume: Page:
ISSN:
Container-title:2021 16th International Conference on Emerging Technologies (ICET)
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Author:

Nawaz Ali¹,Ur Rehman Attique²,Mohammad Ali Tahir¹,Azam Farooque²,Rasheed Yawar²,Waseem Anwar Muhammad²

Affiliation:

1. Gulf University of Science and Technology,College of Art and Science,Department of Computer Science,Mubarak Al_Abdullah,Kuwait

2. National University of Sciences and Technology,College of E&ME,Department of Computer & Software Engineering,Islamabad,Pakistan

Funder

Kuwait Foundation for the Advancement of Sciences

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9689772/9689782/09689848.pdf?arnumber=9689848

Reference19 articles.

1. Learning to Predict Driver Route and Destination Intent

2. Probabilistic trajectory prediction with Gaussian mixture models

3. Vehicle trajectory prediction based on motion model and maneuver recognition

4. Probabilistic Kalman filter for moving object tracking

5. A Path Planning Model based on Spatio-Temporal State Vector from Vehicles Trajectories

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring the Effectiveness and Trends of Domain-Specific Model Driven Engineering: A Systematic Literature Review (SLR);IEEE Access;2024

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