A vision-based approach for autonomous landing
- 1 October 2017
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS)
Abstract
Monocular vision is frequently used in Micro Air Vehicles for many tasks such autonomous navigation, tracking, search and autonomous landing. To address this problem and in the context of autonomous landing of a MAV on a platform, we use a template-based matching in an image pyramid scheme in combination with an edge detector. Thus, the landing zone is localised via image processing in a frame-to-frame basis. Images are captured by the MAV's onboard camera of the MAV and processed with a multi-scale image processing strategy to detect the landing zone at different scales. We assessed our approach in real-time experiments using a Parrot Bebop 2.0 in outdoors and at different heights.Keywords
This publication has 10 references indexed in Scilit:
- Monocular distance estimation with optical flow maneuvers and efference copies: a stability-based strategyBioinspiration & Biomimetics, 2016
- ORB-SLAM: A Versatile and Accurate Monocular SLAM SystemIEEE Transactions on Robotics, 2015
- Automatic landing for fixed-wing UAV using stereo vision with a single camera and an orientation sensor: A conceptPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Continuous on-board monocular-vision-based elevation mapping applied to autonomous landing of micro aerial vehiclesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Color marker detection with various imaging conditions and occlusion for UAV automatic landing controlPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Vision aided automatic landing system for fixed wing UAVPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2013
- Autonomous Landing of MAVs on an Arbitrarily Textured Landing Site Using Onboard Monocular VisionJournal of Intelligent & Robotic Systems, 2013
- A Cross-Platform Comparison of Visual Marker Based Approaches for Autonomous Flight of QuadrocoptersJournal of Intelligent & Robotic Systems, 2013
- An Approach Toward Visual Autonomous Ship Board Landing of a VTOL UAVJournal of Intelligent & Robotic Systems, 2013
- Vision-Based Autonomous Landing of an Helicopter on a Moving TargetPublished by American Institute of Aeronautics and Astronautics (AIAA) ,2009