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Anomaly Detection in Autonomous Vehicle’s Lidar Sensor Data Using Variational Autoencoders

Year: 2024

Type: conference-paper

Source: IEEE Vehicular Technology Conference

DOI: 10.1109/vtc2024-fall63153.2024.10757444

Authors: Nourhane Sboui, Mohamed Hadded, Hakim Ghazzai, Mourad Elhadef, Gianluca Setti

Institutions: Abu Dhabi University, King Abdullah University of Science and Technology

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4406267768

FWCI: 1.215

Cites:

Cited by: 4

Related to: 10