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Countering adversarial attacks on autonomous vehicles using denoising techniques: A review
A Kloukiniotis, A Papandreou, A Lalos… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
The evolution of automotive technology will eventually permit the automated driving system
on the vehicle to handle all circumstances. Human occupants will be just passengers. This …
on the vehicle to handle all circumstances. Human occupants will be just passengers. This …
ADEROS: artificial intelligence-based detection system of critical events for road security
The deployment of artificial intelligence (AI) in Intelligent Transportation Systems (ITS),
especially in the field of Intelligent Transportation Cyber-Physical Systems (ITCPS) has a …
especially in the field of Intelligent Transportation Cyber-Physical Systems (ITCPS) has a …
Diagnosis electromechanical system by means CNN and SAE: An interpretable-learning study
Cyber-physical systems are the response to the adaptability, scalability and accurate
demands of the new era of manufacturing called Industry 4.0. They will become the core …
demands of the new era of manufacturing called Industry 4.0. They will become the core …
Resource efficient federated learning for deep anomaly detection in industrial IoT applications
Anomaly data constitute a thorny problem in numerous industrial applications. In recent
years, deep learning enabled anomaly detection has emerged as a critical direction …
years, deep learning enabled anomaly detection has emerged as a critical direction …
Cooperative five degrees of freedom motion estimation for a swarm of autonomous vehicles
In this paper, we propose a novel cooperative-based system that facilitates each
autonomous vehicle of the swarm to be fully aware of its 5 degrees of freedom (DOF) motion …
autonomous vehicle of the swarm to be fully aware of its 5 degrees of freedom (DOF) motion …
Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis
Anomaly and missing data constitute a thorny problem in industrial applications. In recent
years, deep learning enabled anomaly detection has emerged as a critical direction …
years, deep learning enabled anomaly detection has emerged as a critical direction …
Accelerating 3D scene analysis for autonomous driving on embedded AI computing platforms
The design of 3D object detection schemes that use point clouds as input in automotive
applications has gained a lot of interest recently. Those schemes capitalize on Deep Neural …
applications has gained a lot of interest recently. Those schemes capitalize on Deep Neural …
A Review of Scene Understanding in Smart Manufacturing Environments
Y Liu, S Wang, J Liu, Q Zhang - 2024 29th International …, 2024 - ieeexplore.ieee.org
Scene understanding is the process of analysing and interpreting various perceptual
information in the environment to understand and reason about people, objects, events, and …
information in the environment to understand and reason about people, objects, events, and …
Metaheuristics with Vector Quantization Enabled Codebook Compression Model for Secure Industrial Embedded Environment.
AS Kumar, S Srinivasan - Intelligent Automation & Soft …, 2023 - search.ebscohost.com
At the present time, the Industrial Internet of Things (IIoT) has swiftly evolved and emerged,
and picture data that is collected by terminal devices or IoT nodes are tied to the user's …
and picture data that is collected by terminal devices or IoT nodes are tied to the user's …
Specify and Model Automotive Cyber Physical Systems Using Hybrid Relation Calculus
L Zhang, J Liu - 2021 26th International Conference on …, 2021 - ieeexplore.ieee.org
The automobile is no longer purely physical system and has evolved into more complex and
technologically advanced Cyber physical system (CPS), which embeds control software and …
technologically advanced Cyber physical system (CPS), which embeds control software and …