Automatically Landing an Unmanned Aerial Vehicle Using Perspective-n-Point Algorithm Based on Known Runway Image: Area Localization and Feature Enhancement With Time Consumption Reduction | Zendy

Sakol Kongkaew | Zendy; Miti Ruchanurucks | Zendy; Jun Takamatsu | Zendy

Open Access

Automatically Landing an Unmanned Aerial Vehicle Using Perspective-n-Point Algorithm Based on Known Runway Image: Area Localization and Feature Enhancement With Time Consumption Reduction

Author(s) -

Sakol Kongkaew,

Miti Ruchanurucks,

Jun Takamatsu

Publication year - 2022

Publication title -

asme open journal of engineering

Language(s) - English

Resource type - Journals

ISSN - 2770-3495

DOI - 10.1115/1.4055081

Subject(s) - runway , autopilot , computer science , feature (linguistics) , computer vision , perspective (graphical) , artificial intelligence , aerial image , transformation (genetics) , global positioning system , scale invariant feature transform , point (geometry) , real time computing , feature extraction , image (mathematics) , engineering , control engineering , mathematics , telecommunications , linguistics , philosophy , biochemistry , chemistry , geometry , archaeology , gene , history

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