Pierluigi Pisu
YOU?
Author Swipe
View article: A Multi-Scale Isolation Forest Approach for Real-Time Detection and Filtering of FGSM Adversarial Attacks in Video Streams of Autonomous Vehicles
A Multi-Scale Isolation Forest Approach for Real-Time Detection and Filtering of FGSM Adversarial Attacks in Video Streams of Autonomous Vehicles Open
Deep Neural Networks (DNNs) have demonstrated remarkable success across a wide range of tasks, particularly in fields such as image classification. However, DNNs are highly susceptible to adversarial attacks, where subtle perturbations are…
View article: An Anomaly Detection System Based on Generative Classifiers for Controller Area Network
An Anomaly Detection System Based on Generative Classifiers for Controller Area Network Open
As electronic systems become increasingly complex and prevalent in modern vehicles, securing onboard networks is crucial, particularly as many of these systems are safety-critical. Researchers have demonstrated that modern vehicles are sus…
View article: A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification
A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification Open
Deep learning-based discriminative classifiers, despite their remarkable success, remain vulnerable to adversarial examples that can mislead model predictions. While adversarial training can enhance robustness, it fails to address the intr…
View article: Evaluating the Adversarial Robustness of Detection Transformers
Evaluating the Adversarial Robustness of Detection Transformers Open
Robust object detection is critical for autonomous driving and mobile robotics, where accurate detection of vehicles, pedestrians, and obstacles is essential for ensuring safety. Despite the advancements in object detection transformers (D…
View article: Vehicle State Monitoring and Fault Detection System for Unmanned Ground Vehicles (UGV) using Markov Models
Vehicle State Monitoring and Fault Detection System for Unmanned Ground Vehicles (UGV) using Markov Models Open
This research presents a novel fault detection and diagnostics system for unmanned ground vehicles (UGVs) by combining Markov models representing the vehicle's navigation, kinematic behavior, and vehicle dynamics systems. Existing studies …
View article: LSTM-based Load Forecasting Robustness Against Noise Injection Attack in Microgrid
LSTM-based Load Forecasting Robustness Against Noise Injection Attack in Microgrid Open
In this paper, we investigate the robustness of an LSTM neural network against noise injection attacks for electric load forecasting in an ideal microgrid. The performance of the LSTM model is investigated under a black-box Gaussian noise …
View article: Robust Output Feedback Control Design in the Presence of Sporadic Measurements
Robust Output Feedback Control Design in the Presence of Sporadic Measurements Open
Output feedback control design for linear time-invariant systems in the presence of sporadic measurements and exogenous perturbations is addressed. To cope with the sporadic availability of measurements of the output, a hybrid dynamic outp…
View article: Optimal Operation of Islanded Vehicle-Borne Microgrid under a Limited Fuel Constraint
Optimal Operation of Islanded Vehicle-Borne Microgrid under a Limited Fuel Constraint Open
The operation of microgrids (MGs) has garnered much attention in recent years due to their potential for leveraging renewable and non-renewable energy sources in a well-integrated system.One MG configuration which has not been extensively …
View article: Safety Diagnostics and Degraded Operational Modes
Safety Diagnostics and Degraded Operational Modes Open
Unmanned ground combat vehicles (UGCV) promise numerous ultimate military, civilian, and space applications. The focus of this research mainly deals with how a non-geometric hazard scenario may potentially lead to a mission ending situatio…
View article: Optimal Multi-Channel Output Feedback Control to Damp Power System Oscillations using Battery Energy Storage.
Optimal Multi-Channel Output Feedback Control to Damp Power System Oscillations using Battery Energy Storage. Open
View article: Frequency Control of Large-Scale Interconnected Power Systems via Battery Integration: A Comparison between the Hybrid Battery Model and WECC Model
Frequency Control of Large-Scale Interconnected Power Systems via Battery Integration: A Comparison between the Hybrid Battery Model and WECC Model Open
The increasing penetration of renewable energy sources in power grids highlights the role of battery energy storage systems (BESSs) in enhancing the stability and reliability of electricity. A key challenge with the renewables’, specially …
View article: The Effect of Dust and Sand on the 5G Terrestrial Links
The Effect of Dust and Sand on the 5G Terrestrial Links Open
Wireless connections are a communication channel used to support different applications in our life such as microwave connections, mobile cellular networks, and intelligent transportation systems. The wireless communication channels are af…
View article: Impact of Weather Conditions on 5G Communication Channel under Connected\n Vehicles Framework
Impact of Weather Conditions on 5G Communication Channel under Connected\n Vehicles Framework Open
Recent research focused on improving the vehicle-to-vehicle communication\n(V2V) based on the 5G technology. The V2V application is important because it\nwill reduce the risk of accidents up to 70%-80%, improve traffic management,\nreduce …
View article: Impact of Weather Conditions on 5G Communication Channel under Connected Vehicles Framework
Impact of Weather Conditions on 5G Communication Channel under Connected Vehicles Framework Open
Recent research focused on improving the vehicle-to-vehicle communication (V2V) based on the 5G technology. The V2V application is important because it will reduce the risk of accidents up to 70%-80%, improve traffic management, reduce con…
View article: A Hybrid Control Framework for Large-Scale Battery Integration to the Power System for Stability Analysis - Paper.
A Hybrid Control Framework for Large-Scale Battery Integration to the Power System for Stability Analysis - Paper. Open
View article: Frequency Control of Large-Scale Interconnected Power Systems via Battery Integration: A Comparison Between the Hybrid Battery Model and WECC Model
Frequency Control of Large-Scale Interconnected Power Systems via Battery Integration: A Comparison Between the Hybrid Battery Model and WECC Model Open
The increasing penetration of renewable energy sources in power grids highlights the role of battery energy stor- age systems (BESSs) in enhancing the stability and reliability of electricity. A key challenge with the renewables’, sp…
View article: A Hybrid Controller for DOS-Resilient String-Stable Vehicle Platoons
A Hybrid Controller for DOS-Resilient String-Stable Vehicle Platoons Open
This paper deals with the design of resilient Cooperative Adaptive Cruise Control (CACC) for homogeneous vehicle platoons in which communication is vulnerable to Denial-of-Service (DOS) attacks. We consider DOS attacks as consecutive packe…
View article: Optimal Power Component Sizing of Vehicle-borne Mobile Microgrids for Military Applications
Optimal Power Component Sizing of Vehicle-borne Mobile Microgrids for Military Applications Open
Remote and temporary military installations often do not have grid power connectivity despite the large electrical loads they have to support.In order to ensure adequate power supply for such needs, microgrids (MGs) composed of a variety o…
View article: Secure Connected and Automated Vehicles against False Data Injection Attack using Cloud-based Data Fusion
Secure Connected and Automated Vehicles against False Data Injection Attack using Cloud-based Data Fusion Open
It has been shown that interdependency in connected and automated vehicles (CAV) can be potentially beneficial in several aspects, however, it also poses a set of specific challenges in concern of safety and reliability due to the possibil…
View article: Support-Vector Machine Approach for Robust Fault Diagnosis of Electric Vehicle Permanent Magnet Synchronous Motor
Support-Vector Machine Approach for Robust Fault Diagnosis of Electric Vehicle Permanent Magnet Synchronous Motor Open
Permanent magnet synchronous motor (PMSM) is a leading technology for electric vehicles (EVs) and other high-performance industrial applications. These challenging applications demand robust fault diagnosis schemes, but conventional strate…
View article: Diagnosis of an Alternator System Using Quantized Approaches
Diagnosis of an Alternator System Using Quantized Approaches Open
In this paper, the Generalized Cell Mapping (GCM) method for a linear system is compared with a new stochastic method for novel cell-to-cell mapping. The authors presented the new stochastic method in Mohon and Pisu (2013). The two methods…
View article: Prognostic-oriented Fuel Cell Catalyst Aging Modeling and Its Application to Health-Monitoring and Prognostics of a PEM Fuel Cell
Prognostic-oriented Fuel Cell Catalyst Aging Modeling and Its Application to Health-Monitoring and Prognostics of a PEM Fuel Cell Open
Today, poor long-term performance and durability combined with high production and maintenance costs remain the main obstacles for the commercialization of the polymer electrolyte membrane (PEM) fuel cells (PEMFCs). While on-line diagnosis…
View article: An Unscented Kalman Filter Based on-line Diagnostic Approach For PEM Fuel Cell Flooding
An Unscented Kalman Filter Based on-line Diagnostic Approach For PEM Fuel Cell Flooding Open
Poor water management usually leads to various degrees of flooding in the hydrogen type fuel cell, affecting both the instantaneous performance and the long-term durability of the system adversely. While a lot of fuel cell diagnostic tools…
View article: Innovative Graduate Engineering Education Implemented with Project-focused Learning: A Case Study—The Clemson University Deep Orange 3 Vehicle Prototype Program
Innovative Graduate Engineering Education Implemented with Project-focused Learning: A Case Study—The Clemson University Deep Orange 3 Vehicle Prototype Program Open
The Deep Orange initiative is an integral component of the graduate program in the Department of Automotive Engineering at Clemson University. The ultimate goal of Deep Orange is to place automotive engineering knowledge into context to ta…
View article: LMI-Based Output Feedback Control Design in the Presence of Sporadic Measurements
LMI-Based Output Feedback Control Design in the Presence of Sporadic Measurements Open
International audience
View article: IEEE Transactions on Intelligent Transportation Systems publication information
IEEE Transactions on Intelligent Transportation Systems publication information Open
View article: IEEE Transactions on Intelligent Transportation Systems publication information
IEEE Transactions on Intelligent Transportation Systems publication information Open
View article: Large-Scale Battery Energy Storage System Dynamic Model for Power System Stability Analysis
Large-Scale Battery Energy Storage System Dynamic Model for Power System Stability Analysis Open
The increasing penetration of renewable energy sources in the grid can raise the likelihood of instability in the power grid, e.g. small signal and voltage instability incidents. To study the effect of BESS integration on the grid and powe…
View article: IEEE Transactions on Intelligent Transportation Systems publication information
IEEE Transactions on Intelligent Transportation Systems publication information Open
View article: IEEE Transactions on Intelligent Transportation Systems publication information
IEEE Transactions on Intelligent Transportation Systems publication information Open