Real-Time Quality Monitoring and Anomaly Detection for Vision Sensors in Connected and Autonomous Vehicles
The emergence of Connected and Autonomous Vehicles (CAVs) has revolutionized the transportation landscape paving the way for enhanced traffic mobility and innovative and sustainable transportation. Autonomous vehicles rely on sensor data to obtain information of the internal state of the system and...
Saved in:
Main Authors: | Elena Politi, Charalampos Davalas, Christos Chronis, George Dimitrakopoulos, Dimitrios Michail, Iraklis Varlamis |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10858123/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis
by: Petr Ivanov, et al.
Published: (2025-01-01) -
A Combination of Classification Robust Adaptive Kalman Filter with PPP-RTK to Improve Fault Detection for Integrity Monitoring of Autonomous Vehicles
by: Hassan Elsayed, et al.
Published: (2025-01-01) -
Artificial Intelligence and Physics-Based Anomaly Detection in the Smart Grid: A Survey
by: Giovanni Battista Gaggero, et al.
Published: (2025-01-01) -
Driver anomaly detection in cargo terminal
by: Shahab Emaani, et al.
Published: (2025-01-01) -
Global Information and Structure Tensor Guided Collaborative Representation for Anomaly Detection
by: Meiping Song, et al.
Published: (2025-01-01)