Crossmark

Efficient Performance Prediction of End-to-End Autonomous Driving Under Continuous Distribution Shifts Based on Anomaly Detection

Published Online: 2023-11-20

Published Print: 2023-12

Authors

Luan, Siyu

Gu, Zonghua https://orcid.org/0000-0003-4228-2774
Wan, Shaohua
Funding

Funding for this research was provided by:

Umea University
License Information

Text and Data Mining valid from 2023-11-20

Version of Record valid from 2023-11-20
More Information

Article History

Received: 21 July 2023

Revised: 25 August 2023

Accepted: 3 September 2023

First Online: 20 November 2023

Declarations

:

: This research involves no human participants and/or animals.

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Document is current