Abnormal data detection model based on autoencoder and random forest algorithm: camera sensor data in autonomous driving systems
This project develops an AI-based anomaly detection system. In the field of autonomous driving, abnormal data will directly affect the safety of autonomous driving systems, especially in terms of abnormal camera sensor data. Sensor failure, environmental changes, or bad weather can lead to the emerg...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
Science and Information Organization
2025
|
| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/123353/1/123353.pdf http://psasir.upm.edu.my/id/eprint/123353/ https://thesai.org/Publications/ViewPaper?Volume=16&Issue=3&Code=ijacsa&SerialNo=22 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
