Indoor positioning and wayfinding systems: a survey
Navigation systems help users access unfamiliar environments. Current technological
advancements enable users to encapsulate these systems in handheld devices, which …
advancements enable users to encapsulate these systems in handheld devices, which …
[HTML][HTML] SDNET2018: An annotated image dataset for non-contact concrete crack detection using deep convolutional neural networks
SDNET2018 is an annotated image dataset for training, validation, and benchmarking of
artificial intelligence based crack detection algorithms for concrete. SDNET2018 contains …
artificial intelligence based crack detection algorithms for concrete. SDNET2018 contains …
Indoor objects detection and recognition for an ICT mobility assistance of visually impaired people
Indoor object detection in real scene presents a challenging computer vision task; it is also a
key component of an ICT autonomous displacement assistance of Visually Impaired People …
key component of an ICT autonomous displacement assistance of Visually Impaired People …
Applied Artificial Intelligence in Healthcare: A Review of Computer Vision Technology Application in Hospital Settings
Computer vision (CV), a type of artificial intelligence (AI) that uses digital videos or a
sequence of images to recognize content, has been used extensively across industries in …
sequence of images to recognize content, has been used extensively across industries in …
[HTML][HTML] Real time object detection using CNN based single shot detector model
A Juneja, S Juneja, A Soneja, S Jain - Journal of Information Technology …, 2021 - jitm.ut.ac.ir
Object Detection has been one of the areas of interest of research community for over years
and has made significant advances in its journey so far. There is a tremendous scope in the …
and has made significant advances in its journey so far. There is a tremendous scope in the …
Deep-SAGA: a deep-learning-based system for automatic gaze annotation from eye-tracking data
With continued advancements in portable eye-tracker technology liberating experimenters
from the restraints of artificial laboratory designs, research can now collect gaze data from …
from the restraints of artificial laboratory designs, research can now collect gaze data from …
Deep learning-based object detection, localisation and tracking for smart wheelchair healthcare mobility
This paper deals with the development of an Advanced Driver Assistance System (ADAS) for
a smart electric wheelchair in order to improve the autonomy of disabled people. Our use …
a smart electric wheelchair in order to improve the autonomy of disabled people. Our use …
Faster bounding box annotation for object detection in indoor scenes
B Adhikari, J Peltomaki, J Puura… - 2018 7th European …, 2018 - ieeexplore.ieee.org
This paper proposes an approach for rapid bounding box annotation for object detection
datasets. The procedure consists of two stages: The first step is to annotate a part of the …
datasets. The procedure consists of two stages: The first step is to annotate a part of the …
An intelligence cattle reidentification system over transport by Siamese neural networks and yolo
Livestock, throughout their lifespan, are transported to multiple destinations before being
processed into consumable goods. The assurance of authentic product delivery hinges on …
processed into consumable goods. The assurance of authentic product delivery hinges on …
Object detection to assist visually impaired people: A deep neural network adventure
Blindness or vision impairment, one of the top ten disabilities among men and women,
targets more than 7 million Americans of all ages. Accessible visual information is of …
targets more than 7 million Americans of all ages. Accessible visual information is of …