| dc.contributor.author |
Rohil, Mukesh Kumar |
|
| dc.date.accessioned |
2024-10-24T10:50:14Z |
|
| dc.date.available |
2024-10-24T10:50:14Z |
|
| dc.date.issued |
2023 |
|
| dc.identifier.uri |
https://ieeexplore.ieee.org/abstract/document/10126239 |
|
| dc.identifier.uri |
http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16176 |
|
| dc.description.abstract |
In this research we explore the ORB SLAM 2 which is a state-of-the-art algorithm for Simultaneous Localization and Mapping (SLAM) and which has been a cornerstone of SLAM Algorithm developments. In this paper, we highlight and provide insight into the possible applications of ORB SLAM 2 in the domains of Education, Industry and Healthcare. During the explanation of the working of ORB SLAM 2, we highlight the challenges, its features and its effects. We explore on how ORB-SLAM 2 can be used for a variety of purposes, including in Autonomous Car Driving. Robotics, mapping the surroundings, Augmented and Virtual Reality. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
IEEE |
en_US |
| dc.subject |
Computer Science |
en_US |
| dc.subject |
ORB |
en_US |
| dc.subject |
SLAM |
en_US |
| dc.subject |
Feature Extraction |
en_US |
| dc.title |
Exploring Possible Applications of ORB SLAM 2 in Education, Healthcare, and Industry: Insights into the Challenges, Features, and Effects |
en_US |
| dc.type |
Article |
en_US |