Unsupervised Hybrid VAE-Based Anomaly Detection for Vehicle Onboard LiDAR Sensors

Unsupervised Hybrid VAE-Based Anomaly Detection for Vehicle Onboard LiDAR Sensors

Intelligent transportation systems (ITS) are revolutionizing road safety, particularly in urban areas. Innovative sensors like LiDAR are being deployed to monitor traffic flow in real-time, providing precise data on vehicle movements, road conditions, and congestion patterns. These advancements open...

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Bibliographic Details
Main Authors: Nourhen Sboui, Hakim Ghazzai, Mohamed Hadded, Mourad Elhadef, Gianluca Setti
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Intelligent transportation system
autonomous driving
ITS sensors
LiDAR data
anomaly detection
variational auto-encoder
Online Access:https://ieeexplore.ieee.org/document/10994438/
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https://ieeexplore.ieee.org/document/10994438/

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