VidereX: A Navigational Application inspired by ants
December 03, 2023 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Nam Ho Koh, Doran Amos, Paul Graham, Andrew Philippides
arXiv ID
2312.03000
Category
cs.HC: Human-Computer Interaction
Citations
0
Venue
arXiv.org
Last Checked
5 months ago
Abstract
Navigation is a crucial element in any person's life, whether for work, education, social living or any other miscellaneous reason; naturally, the importance of it is universally recognised and valued. One of the critical components of navigation is vision, which facilitates movement from one place to another. Navigating unfamiliar settings, especially for the blind or visually impaired, can pose significant challenges, impacting their independence and quality of life. Current assistive travel solutions have shortcomings, including GPS limitations and a demand for an efficient, user-friendly, and portable model. Addressing these concerns, this paper presents VidereX: a smartphone-based solution using an ant-inspired navigation algorithm. Emulating ants' ability to learn a route between nest and feeding grounds after a single traversal, VidereX enables users to rapidly acquire navigational data using a one/few-shot learning strategy. A key component of VidereX is its emphasis on active user engagement. Like ants with a scanning behaviour to actively investigate their environment, users wield the camera, actively exploring the visual landscape. Far from the passive reception of data, this process constitutes a dynamic exploration, echoing nature's navigational mechanisms.
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