A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories-Reference-Cited by-同舟云学术

A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories

Published:2022-10-08 Issue: Volume: Page:
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Container-title:2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
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Author:

Wiederer Julian¹,Schmidt Julian¹,Kressel Ulrich¹,Dietmayer Klaus²,Belagiannis Vasileios³

Affiliation:

1. Mercedes-Benz Group AG,Stuttgart,Germany,70546

2. Institute of Measurement, Control and Microtechnology, University Ulm,Ulm,Germany,89081

3. Otto-von-Guericke-University Magdeburg,Department of Simulation and Graphics,Magdeburg,Germany,39106

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9921415/9921739/09922440.pdf?arnumber=9922440

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