Fidelity Evaluation of Virtual Traffic Based on Anomalous Trajectory Detection
Author:
Affiliation:
1. Xidian University,Department of Computer Science and Technology,Xi'an,P. R.,China,710071
2. State Key Laboratory of CAD&CG, Zhejiang University,Hangzhou,P. R.,China,310058
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981800.pdf?arnumber=9981800
Reference34 articles.
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3. One thousand and one hours: Self-driving motion prediction dataset;houston;ArXiv Preprint,2020
4. Detecting Anomalous Trajectories via Recurrent Neural Networks
5. A data-driven method for falsified vehicle trajectory identification by anomaly detection
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