[HTML][HTML] Adaptive approximate computing in edge AI and IoT applications: A review
Recent advancements in hardware and software systems have been driven by the
deployment of emerging smart health and mobility applications. These developments have …
deployment of emerging smart health and mobility applications. These developments have …
Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey
Generative AI (GAI) can enhance the cognitive, reasoning, and planning capabilities of
intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets …
intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets …
Revolutionizing Surveillance: A Brief Survey of Edge AI Terminals in Road Infrastructure
The evolution of Closed-Circuit Television (CCTV) systems, initially designed for security,
has transcended into diverse domains, impacting public spaces, transportation hubs, and …
has transcended into diverse domains, impacting public spaces, transportation hubs, and …
Analyzing and Mitigating Bias for Vulnerable Classes: Towards Balanced Representation in Dataset
D Katare, DS Noguero, S Park, N Kourtellis… - arXiv preprint arXiv …, 2024 - arxiv.org
The accuracy and fairness of perception systems in autonomous driving are crucial,
particularly for vulnerable road users. Mainstream research has looked into improving the …
particularly for vulnerable road users. Mainstream research has looked into improving the …
Design and Implementation of Energy-Efficient Wireless Tire Sensing System with Delay Analysis for Intelligent Vehicles
S Mishra, JM Liang - IEEE Transactions on Intelligent Vehicles, 2024 - ieeexplore.ieee.org
The growing prevalence of Internet of Things (IoT) technologies has led to a rise in the
popularity of intelligent vehicles that incorporate a range of sensors to monitor various …
popularity of intelligent vehicles that incorporate a range of sensors to monitor various …
MultiRuler: A Multi-Dimensional Resource Modeling Method for Embedded Intelligent Systems of Autonomous Driving
With the development of vehicular technology, autonomous driving has experienced
explosive growth, making it an important and popular research field. In autonomous driving …
explosive growth, making it an important and popular research field. In autonomous driving …
Paving the way towards safer and more efficient maritime industry with 5G and Beyond edge computing systems
V Charpentier, N Slamnik-Kriještorac, G Landi… - Computer Networks, 2024 - Elsevier
Abstract The Maritime and Road Transport and Logistics (T&L) vertical industries account for
92.5% of the European total freight transport. Therefore, efficient T&L systems in busy port …
92.5% of the European total freight transport. Therefore, efficient T&L systems in busy port …
Investigating the Impact of Quantization on Adversarial Robustness
Quantization is a promising technique for reducing the bit-width of deep models to improve
their runtime performance and storage efficiency, and thus becomes a fundamental step for …
their runtime performance and storage efficiency, and thus becomes a fundamental step for …
Advancing Artificial Intelligence (AI) and Machine Learning (ML) Based Soft Sensors for In-Cylinder Predictions with a Real-Time Simulator and a Crank Angle …
In a previous research effort by this group, pseudo engine dynamometer data in multi-
dimensional arrays were combined with dynamic equations to form a crank angle resolved …
dimensional arrays were combined with dynamic equations to form a crank angle resolved …
Edge-Assisted Low-Latency Object Detection for Networked Vehicles Using Point Cloud
T Qin, J Hou, P Yang, X Cao… - … Conference on Cloud and …, 2024 - ieeexplore.ieee.org
In this paper, with the objective of enhancing the perception quality for autonomous vehicles
based on point cloud data, we design an edge-assisted on-road perception framework. This …
based on point cloud data, we design an edge-assisted on-road perception framework. This …