This paper presents a visual-based autonomous Unmanned Aerial Vehicle (UAV) capable to perform a broad range of navigation tasks in indoor environments. Unlike other related vehicles, our robot does not need an external operator whatsoever or any kind of off-board processing, reducing the overall workload and manual dependency. We evaluated our vehicle in a real indoor environment that simulates an offshore oil platform scenario, demonstrating that it is capable of localize itself, maintaining stable flight, navigating, detecting landing spots, precisely landing on them, and detecting and reading information from the scenario. The methodology presented in this work was used to win the 2019 Brazil Open Flying Robot League during the 2019 Latin America Robotics Competition, among eleven teams and outscoring the second-placing team by almost a factor of two.
Visual-based Autonomous Unmanned Aerial Vehicle for Inspection in Indoor Environments
2020-11-09
6296134 byte
Conference paper
Electronic Resource
English
Unmanned aerial vehicle autonomous inspection snapshot method
European Patent Office | 2023
|Towards an autonomous indoor aerial inspection vehicle
Tema Archive | 2013
|Inspection unmanned aerial vehicle with indoor positioning structure
European Patent Office | 2022
|Automatic inspection unmanned aerial vehicle based on visual identification
European Patent Office | 2020
|