Autonomous Ingress of a UAV through a window using Monocular Vision
Abhinav Pachauri, Vikrant More, Pradeep Gaidhani, Nitin Gupta

TL;DR
This paper presents a method for autonomous UAV ingress through windows using monocular vision, combining detection and navigation techniques tested in simulation.
Contribution
It introduces a novel window detection and navigation scheme for UAVs using basic image processing, demonstrated in a simulated environment.
Findings
Successful window detection using image processing techniques
Effective navigation scheme integrated with detection
Validated in GAZEBO simulation environment
Abstract
The use of autonomous UAVs for surveillance purposes and other reconnaissance tasks is increasingly becoming popular and convenient.These tasks requires the ability to successfully ingress through the rectangular openings or windows of the target structure.In this paper, a method to robustly detect the window in the surrounding using basic image processing techniques and efficient distance measure, is proposed.Furthermore, a navigation scheme which incorporates this detection method for performing navigation task has also been proposed.The whole navigation task is performed and tested in the simulation environment GAZEBO.
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Taxonomy
TopicsRobotics and Sensor-Based Localization · Robotic Path Planning Algorithms · 3D Surveying and Cultural Heritage
