[HTML][HTML] Internet of Intelligent Things: A convergence of embedded systems, edge computing and machine learning

F Oliveira, DG Costa, F Assis, I Silva - Internet of Things, 2024 - Elsevier
This article comprehensively reviews the emerging concept of Internet of Intelligent Things
(IoIT), adopting an integrated perspective centred on the areas of embedded systems, edge …

Stereo matching on images based on volume fusion and disparity space attention

L Liao, J Zeng, T Lai, Z Xiao, F Zou, H Fujita - Engineering Applications of …, 2024 - Elsevier
Constructing cost volumes by leveraging the feature information from image pairs is crucial
to improve the stereo matching accuracy, which plays a vital role in acquiring depth …

Fuzzy adaptive cruise control with model predictive control responding to dynamic traffic conditions for automated driving

Z Mehraban, AY Zadeh, H Khayyam… - … Applications of Artificial …, 2024 - Elsevier
Abstract Traditional Adaptive Cruise Control (ACC) systems often struggle to dynamically
adapt to rapidly changing traffic conditions, resulting in suboptimal performance …

A lightweight stereo depth estimation network based on mobile devices

L Yang, W Tang - Seventh International Conference on …, 2024 - spiedigitallibrary.org
Present stereo depth estimation networks often build 4D cost volumes and employ
computationally intensive 3D convolutions for global information fusion. However, this …

10.1 ROLE OF ARTIFICIAL INTELLIGENCE (AI), COMPUTER VISION AND ROBOTICS

P Gouthaman, RR Shanthi, V Ponnusamy… - Industry 4.0, Smart …, 2024 - books.google.com
AI, Computer Vision (CV) and Robotics—they all are, some way or other, linked with each
other because of their critical role in different industries. To start with, Artificial Intelligence …

Balancing Speed and Precision: Lightweight and Accurate Depth Estimation for Light Field Image

R Miya, T Kawaguchi, T Saito - 2024 - preprints.org
With the progression of AI, embedding advanced AI technologies into small robotics and
mobile devices has become essential, driving research towards lightweighting AI models …

Auto-Guided Smart Forklift

S Thiruchelvam, T Pathirana - 2023 - repository.kln.ac.lk
Combination of automation and cognitive ability offers a creative way to change
conventional warehouse and logistics processes through the concept of Auto guided smart …

Sensor Fusion-Based Approach for Real Time Navigation in Autonomous Mobile Robots Using Mobile Stereonet in Warehouse

I YAQOOB - Imran sarwar, Sensor Fusion-Based Approach for Real … - papers.ssrn.com
Abstract Autonomous Mobile Robots (AMRs) are increasingly playing a pivotal role in
modern warehouses to optimize logistics and improve efficiency. Accurate localization and …

[PDF][PDF] Internet of Things

L Oliveira, ICCE Continuada - 2015 - researchgate.net
Whereas in the first run Internet of Things referred to the advent of barcodes and Radio-
frequency identification (RFID), helping to automate inventory, tracking and basic …