Autonomous Ingress of a UAV through a window using Monocular Vision
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.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
MonoSIM: An open source SIL framework for Ackermann Vehicular Systems with Monocular Vision
This paper presents an open-source Software-in-the-Loop (SIL) simulation platform designed for autonomous Ackerman vehicle research and education. The proposed framework focuses on simplicity, while making it easy to wor…
Lane DetectionScalable Vision-Based 3D Object Detection and Monocular Depth Estimation for Autonomous Driving
This dissertation is a multifaceted contribution to the advancement of vision-based 3D perception technologies. In the first segment, the thesis introduces structural enhancements to both monocular and stereo 3D object d…
3D Object DetectionAutonomous DrivingDepth EstimationMonocular Depth Estimation+2Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision
Depth information is essential for on-board perception in autonomous driving and driver assistance. Monocular depth estimation (MDE) is very appealing since it allows for appearance and depth being on direct pixelwise co…
Autonomous DrivingDepth EstimationMonocular Depth EstimationSmaller, Faster, Cheaper: Architectural Designs for Efficient Machine Learning
Major advancements in the capabilities of computer vision models have been primarily fueled by rapid expansion of datasets, model parameters, and computational budgets, leading to ever-increasing demands on computational…
Tomography Based Learning for Load Distribution through Opaque Networks
Applications such as virtual reality and online gaming require low delays for acceptable user experience. A key task for over-the-top (OTT) service providers who provide these applications is sending traffic through the …
BIG-bench Machine Learning