Fault Diagnosis Algorithm for Vehicle Sensors Based on Unsupervised Learning without Requiring Fault Data Collection

Author:

Cho Gyeongho,You Seung-Han,Ahn Changsun

Funder

Ministry of Trade, Industry and Energy

Korea Evaluation Institute of Industrial Technology

Publisher

The Korean Society of Automotive Engineers

Reference23 articles.

1. S. Lee, Y. Hwang and B. Kang, “Trend of Global NCAP Regarding ADAS,” KSAE Fall Conference Proceedings, pp.849-854, 2019.

2. M. Imlay, ADAS Systems, Specialty Equipment Market Association-SEMA. SEMA News, Diamond Bar, 2018.

3. Autonomous Driving in the Real World

4. T. Hsiao and M. Tomizuka, “Sensor Fault Detection in Vehicle Lateral Control Systems Via Switching Kalman Filtering,” Proceedings of the 2005 American Control Conference, pp.5009-5014, 2005.

5. A probabilistic approach to residual processing for vehicle fault detection

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