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18 results with keyword: 'autonomous landing unmanned aerial vehicle image based control'

Autonomous Landing of an Unmanned Aerial Vehicle using Image-Based Fuzzy Control

CONCLUSIONS AND FUTURE WORK In this work is presented a Fuzzy control approach to manage the longitudinal and lateral speeds, and the al- titude of an unmanned aerial vehicle

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2021
Towards an autonomous vision-based unmanned aerial system againstwildlife poachers

Keywords: unmanned aerial vehicles; computer vision; animal tracking; face detection; vision-based control; object following; autonomous navigation; autonomous landing;

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2021
A smart Neural Network Based Algorithm for Landing Control of Autonomous Unmanned Aerial Vehicle

This paper discusses the possibility of designing a flight controller to aid in the management of the onboard flight operation of unmanned aerial vehicle (UAV)

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2020
Safe Landing of Autonomous Amphibious Unmanned Aerial Vehicle on Water

The distance above the water surface is measured using ultrasonic sensor and after a threshold level of distance, a control signal from Arduino will be sent to respective brushless

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2020
Expert System-based Autonomous Mission Control for Unmanned Aerial Vehicle

It compares the updated working memory against the production memory using RETE inference engine, the fulfilled rules are asserted into the conflict set, a conflict resolution

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2021
Accurate autonomous landing of a fixed-wing unmanned aerial vehicle

Safety Pilot takes off and engages autopilot on the transmitter at the start of the FAR long leg with the aircraft straight and level at around 60 m altitude

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2021
Autonomous unmanned aerial surveillance vehicle - autonomous control and flight dynamics

(a) In an area approved under regulation 101.030 as an area for the operation of unmanned aircraft of the same class as the aircraft concerned, and in accordance with any

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2019
GPS based position control and waypoint navigation of a quad tilt-wing UAV

This thesis work focuses on GPS based position control and waypoint navigation of a quad tilt-wing unmanned aerial vehicle (SUAVI: Sabanci University Unmanned Aerial Vehicle)..

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2021
Marker detection and tracking for autonomous landing of unmanned aerial vehicle

Poleg detekcije na osnovi oznak lahko uporabimo tudi alternativne metode detekcije, ki se ne zanaˇsajo na oznako, ampak uporabljajo informacije, ki so na voljo v sliki brez

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2021
Autonomous landing of a fixed-wing unmanned aerial vehicle using differential GPS

The effect of wind gust behaviour is more evident in the first autonomous landing; referring back to Figure 9.4, it can be seen that ground speed increases

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2021
Autonomous take-off and landing of a fixed wing unmanned aerial vehicle

The tests will range from hardware (sensor) testing to controller testing for full autonomous flight and runway ground speed and yaw rate control. The hardware test

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200
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2021
Review on Autonomous Car using Raspberry Pi

[10] NavStik Autonomous Systems '' VISION BASED OBJECT DETECTION AND TRACKING USING MULTIROTOR UNMANNED AERIAL VEHICLE ''. SarthakKaingade, Vikrant More,

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2020
Project Plan Autonomous Unmanned Aerial Vehicle

50 Detailed design - control group 51 Detailed design - hardware group 52 Detailed design - positioning group 60 Development & Implementation - Ctrl. 70 Development

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2021
Endocrinology & Women s Health + Adult Immunizations Exotic Asia CME Cruise June 15 24, Menopause & Osteoporosis update 2015.

Proportion of invasive breast cancer attributable to risk factors modifiable after menopause.. Health outcomes after stopping conjugated equine Health outcomes after

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2021
Autonomous landing of a fixed-wing unmanned aerial vehicle onto a moving platform

The moving platform landing points presented in Figure 7.68 with their statistical distribution shown in Table 7.9 gives an indication of what can be expected under ideal

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2021
An Improved Vision-based Algorithm for Unmanned Aerial Vehicles Autonomous Landing

The improved algorithm is composed of three steps: first, detect the region of the target using the Camshift; second, detect the feature points in the region of the above

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2021
Deep learning for vision-based micro aerial vehicle autonomous landing

To overcome these limitations, we propose an end-to-end landmark detection system based on a deep convolutional neural network, which not only easily scales up to a larger number

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2021
Deep learning for vision-based micro aerial vehicle autonomous landing

To overcome these limitations, we propose an end-to-end landmark detection system based on a deep convolutional neural network, which not only easily scales up to a larger number

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2021

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