Cooperative Control of Active Suspension and FourWheel Steering for Intelligent Electric Vehicles with Corner Module Structure on Severe Roads
J Zhang, L Zhang, S Liu, M Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The Corner Module Architecture (CMA) integrates a steering system, a drive/brake system,
and an active suspension system at each wheel. Since electric vehicles are characterized by …
and an active suspension system at each wheel. Since electric vehicles are characterized by …
Evaluating the Impact of Mobility on Differentially Private Federated Learning
E Kim, EK Lee - Applied Sciences, 2024 - mdpi.com
This paper investigates differential privacy in federated learning. This topic has been actively
examined in conventional network environments, but few studies have investigated it in the …
examined in conventional network environments, but few studies have investigated it in the …
When Cars meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather
In Federated Learning (FL), multiple clients collaboratively train a global model without
sharing private data. In semantic segmentation, the Federated source Free Domain …
sharing private data. In semantic segmentation, the Federated source Free Domain …
On the Conflict of Robustness and Learning in Collaborative Machine Learning
M Raynal, C Troncoso - arXiv preprint arXiv:2402.13700, 2024 - arxiv.org
Collaborative Machine Learning (CML) allows participants to jointly train a machine learning
model while keeping their training data private. In scenarios where privacy is a strong …
model while keeping their training data private. In scenarios where privacy is a strong …
LiDAR-PDP: A LiDAR-Based Panoptic Dynamic Driving Environment Perception Algorithm
H Wang, J Li, Y Cai, L Chen, Y Li - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
A LiDAR-based driving perception system is crucial for autonomous driving, as it provides
real-time, accurate, and robust perception results that significantly enhance driving safety …
real-time, accurate, and robust perception results that significantly enhance driving safety …
Predictive control of diesel oxidation catalysts with federated learning in connected vehicles
VP Chellapandi, Y Nagaraj, J Supplee… - 2024 Forum for …, 2024 - ieeexplore.ieee.org
In various industries, diesel engines continue to be indispensable due to their exceptional
fuel efficiency and torque characteristics, all while meeting stringent emissions standards …
fuel efficiency and torque characteristics, all while meeting stringent emissions standards …
A Review of Full-Sized Autonomous Racing Vehicle Sensor Architecture
In the landscape of technological innovation, autonomous racing is a dynamic and
challenging domain that not only pushes the limits of technology, but also plays a crucial …
challenging domain that not only pushes the limits of technology, but also plays a crucial …
Next-Generation Protection: Leveraging Federated Learning and Blockchain for Intrusion Detection in Smart Vehicle Network
JA Malik - Power System Technology, 2024 - powertechjournal.com
Smart Car's era ushers in new challenges, some of which are in the field of information
security such as wise cyber-attack prevention. Traditional IDS systems would lose …
security such as wise cyber-attack prevention. Traditional IDS systems would lose …
Digital Twins for Supporting AI Research with Autonomous Vehicle Networks
Digital twins (DTs), which are virtual environments that simulate, predict, and optimize the
performance of their physical counterparts, are envisioned to be essential technologies for …
performance of their physical counterparts, are envisioned to be essential technologies for …
LMI-Based Design of a Robust Model Predictive Controller for a Class of Recurrent Neural Networks With Guaranteed Properties
This work proposes a novel robust nonlinear model predictive control (NMPC) algorithm for
systems described by a generic class of recurrent neural networks. The algorithm enables …
systems described by a generic class of recurrent neural networks. The algorithm enables …