Visual Servoing Approach to Autonomous UAV Landing on a Moving Vehicle

@article{Keipour2021VisualSA,
  title={Visual Servoing Approach to Autonomous UAV Landing on a Moving Vehicle},
  author={Azarakhsh Keipour and Guilherme A. S. Pereira and Rogerio Bonatti and Rohit Garg and Puru Rastogi and Geetesh Dubey and Sebastian A. Scherer},
  journal={Sensors (Basel, Switzerland)},
  year={2021},
  volume={22}
}
Many aerial robotic applications require the ability to land on moving platforms, such as delivery trucks and marine research boats. We present a method to autonomously land an Unmanned Aerial Vehicle on a moving vehicle. A visual servoing controller approaches the ground vehicle using velocity commands calculated directly in image space. The control laws generate velocity commands in all three dimensions, eliminating the need for a separate height controller. The method has shown the ability… 

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References

SHOWING 1-10 OF 44 REFERENCES

Physical Interaction and Manipulation of the Environment using Aerial Robots

This research explores how aerial physical interaction can be extended to deformable objects and provides a detection method suitable for manipulating deformable one-dimensional objects and introduces a new perspective on planning the manipulation of these objects.

Proactive Guidance for Accurate UAV Landing on a Dynamic Platform: A Visual–Inertial Approach

An autonomous system for unmanned aerial vehicles to land on moving platforms such as an automobile or a marine vessel is developed, providing a promising solution for a long-endurance flight operation, a large mission coverage range, and a convenient recharging ground station.

Mission-level Robustness with Rapidly-deployed, Autonomous Aerial Vehicles by Carnegie Mellon Team Tartan at MBZIRC 2020

This approach utilizes common techniques in vision and control, and encodes robustness into mission structure through outcome monitoring and recovery strategies, and enables rapid deployment and requires no central communication.

Real-Time Ellipse Detection for Robotics Applications

The proposed algorithm is lightweight enough to be used on robots’ resource-limited onboard computers, can deal with lighting variations and detect the pattern even when the view is partial, and outperforms other methods with the F1 score of 0.981 on a dataset with over 1500 frames.

Autonomous Quadcopter Precision Landing Onto a Heaving Platform: New Method and Experiment

This paper presents an autonomous quadcopter landing algorithm allowing the vehicle to land robustly and precisely onto a heaving platform and strictly proves the closed-loop system stability by using the Lyapunov theory.

Precise Landing of Autonomous Aerial Vehicles Using Vector Fields

This letter proposes a strategy for autonomous precision landing of aerial vehicles in fixed pads or runways. Our approach is based on a velocity vector field, which is a closed-loop strategy that

Visual Servoing for Multirotor Precision Landing in Daylight and After-Dark Conditions

The problem of precision landing for autonomous multirotor UAVs operating during the day and at night is studied. A vision-based approach is proposed and consists of varying-degree-of-freedom

Autonomous Landing of a Micro Aerial Vehicle on a Moving Platform Using a Composite Landmark

An autonomous landing system using a composite landmark using a notched ring landmark and two-dimensional landmark combined as an R2D landmark to provide visual localization over a wide range and the proposed landing trajectory planning algorithm provides a continuous trajectory for reliable landing.

AUTONOMOUS LANDING OF A UAV ON A MOVING VEHICLE FOR THE MBZIRC

The team of the University of Catania was selected to participate to the Challenge 1 of the Mohamed Bin Zayed International Robotics Challenge 2017 and an overview and some details on the developed system are reported.