[HTML][HTML] Internet of Intelligent Things: A convergence of embedded systems, edge computing and machine learning
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 …
(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
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 …
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
Abstract Traditional Adaptive Cruise Control (ACC) systems often struggle to dynamically
adapt to rapidly changing traffic conditions, resulting in suboptimal performance …
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 …
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 …
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 …
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 …
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 …
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 …
frequency identification (RFID), helping to automate inventory, tracking and basic …