State of the Art and Problems of Defeat of Low, Slow and Small Unmanned Aerial Vehicles

The reliability of unmanned aerial vehicles (UAVs) has caught the attention of many researchers in the past decades. This paper presents a review on the development and important issues of state-of-the-art researches in the field of fault detection and diagnosis (FDD) techniques. Faults on an individual unmanned aerial vehicle or a group of unmanned aerial vehicles are considered for providing an overall picture of fault detection and diagnosis approaches.

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Unmanned aerial vehicles using machine learning for autonomous flight; state-of-the-art

Advanced Robotics ◽

10.1080/01691864.2019.1586760 ◽

2019 ◽

Vol 33 (6) ◽

pp. 265-277 ◽

Cited By ~ 10

Author(s):

Su Yeon Choi ◽

Dowan Cha

Keyword(s):

Machine Learning ◽

Unmanned Aerial Vehicles ◽

State Of The Art ◽

Autonomous Flight ◽

Aerial Vehicles

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Energy-aware Coverage Path Planning for Unmanned Aerial Vehicles

10.5753/wtdr_ctdr.2020.14959 ◽

2020 ◽

Author(s):

Tauã Cabreira ◽

Lisane Brisolara ◽

Paulo Ferreira Jr.

Keyword(s):

Energy Consumption ◽

Path Planning ◽

Unmanned Aerial Vehicles ◽

Partial Information ◽

State Of The Art ◽

Energy Aware ◽

Coverage Path Planning ◽

Aerial Vehicles ◽

Novel Approaches ◽

Grid Based

Coverage Path Planning (CPP) problem is a motion planning subtopic in robotics, where it is necessary to build a path for a robot to explore every location in a given scenario. Unmanned Aerial Vehicles (UAV) have been employed in several applications related to the CPP problem. However, one of the significant limitations of UAVs is endurance, especially in multi-rotors. Minimizing energy consumption is pivotal to prolong and guarantee coverage. Thus, this work proposes energy-aware coverage path planning solutions for regular and irregular-shaped areas containing full and partial information. We consider aspects such as distance, time, turning maneuvers, and optimal speed in the UAV’s energy consumption. We propose an energy-aware spiral algorithm called E-Spiral to perform missions over regular-shaped areas. Next, we explore an energy-aware grid-based solution called EG-CPP for mapping missions over irregular-shaped areas containing no-fly zones. Finally, we present an energy-aware pheromone-based solution for patrolling missions called NC-Drone. The three novel approaches successfully address different coverage path planning scenarios, advancing the state-of-the-art in this area.

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Visual Tracking of Small Unmanned Aerial Vehicles Based on Object Proposal Voting

Applied Sciences ◽

10.3390/app11030953 ◽

2021 ◽

Vol 11 (3) ◽

pp. 953

Author(s):

Jin Hong ◽

Junseok Kwon

Keyword(s):

Unmanned Aerial Vehicles ◽

Visual Tracking ◽

State Of The Art ◽

Experimental Results ◽

Tracking Method ◽

Aerial Vehicles ◽

Object Proposal ◽

Background Clutter ◽

Art Performance ◽

Over Time

In this paper, we propose a novel visual tracking method for unmanned aerial vehicles (UAVs) in aerial scenery. To track the UAVs robustly, we present a new object proposal method that can accurately determine the object regions that are likely to exist. The proposed object proposal method is robust to small objects and severe background clutter. For this, we vote on candidate areas of the object and increase or decrease the weight of the area accordingly. Thus, the method can accurately propose the object areas that can be used to track small-sized UAVs with the assumption that their motion is smooth over time. Experimental results verify that UAVs are accurately tracked even when they are very small and the background is complex. The proposed method qualitatively and quantitatively delivers state-of-the-art performance in comparison with conventional object proposal-based methods.

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State-of-the-Art Intelligent Flight Control Systems in Unmanned Aerial Vehicles

IEEE Transactions on Automation Science and Engineering ◽

10.1109/tase.2017.2651109 ◽

2018 ◽

Vol 15 (2) ◽

pp. 613-627 ◽

Cited By ~ 34

Author(s):

Fendy Santoso ◽

Matthew A. Garratt ◽

Sreenatha G. Anavatti

Keyword(s):

Unmanned Aerial Vehicles ◽

Control Systems ◽

Flight Control ◽

State Of The Art ◽

Aerial Vehicles

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DETECTION OF CITRUS TREES FROM UAV DSMS

ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-annals-iv-1-w1-27-2017 ◽

2017 ◽

Vol IV-1/W1 ◽

pp. 27-34 ◽

Cited By ~ 4

Author(s):

A. O. Ok ◽

A. Ozdarici-Ok

Keyword(s):

Unmanned Aerial Vehicles ◽

State Of The Art ◽

Integrated Approach ◽

Radial Symmetry ◽

Single Source ◽

Local Maxima ◽

Manual Intervention ◽

Aerial Vehicles ◽

Surface Models ◽

Citrus Trees

This paper presents an automated approach to detect citrus trees from digitals surface models (DSMs) as a single source. The DSMs in this study are generated from Unmanned Aerial Vehicles (UAVs), and the proposed approach first considers the symmetric nature of the citrus trees, and it computes the orientation-based radial symmetry in an efficient way. The approach also takes into account the local maxima (LM) information to verify the output of the radial symmetry. Our contributions in this study are twofold: (i) Such an integrated approach (symmetry + LM) has not been tested to detect (citrus) trees (in orchards), and (ii) the validity of such an integrated approach has not been experienced for an input, e.g. a single DSM. Experiments are performed on five test patches. The results reveal that our approach is capable of counting most of the citrus trees without manual intervention. Comparison to the state-of-the-art reveals that the proposed approach provides notable detection performance by providing the best balance between precision and recall measures.

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Application of UAVs for assessment of bridge infrastructure

Journal of the Croatian Association of Civil Engineers ◽

10.14256/jce.3254.2021 ◽

2021 ◽

Vol 73 (11) ◽

pp. 1095-1106

Keyword(s):

Unmanned Aerial Vehicles ◽

State Of The Art ◽

Autonomous Systems ◽

Transport Infrastructure ◽

Life Estimation ◽

Advantages And Disadvantages ◽

Aerial Vehicles ◽

Bridge Inspections ◽

Service Life Estimation ◽

Structural Inspection

The shortcomings of classical methods for inspection of transport infrastructure objects have led to the development of more efficient, more reliable, faster and cheaper procedures for condition assessment and load-bearing capacity and service life estimation of objects. In this context, different autonomous systems developed in the last decade have the most notable role and their development is continuously speeding up. This paper provides a state of the art review of the unmanned aerial vehicles application for structural inspection with a focus on bridges. The paper comprises the following: a review of the current regulations prescribing the types and frequency of inspections; a review of the current classical inspection methods with their advantages and disadvantages; analysis of advantages and disadvantages in application of unmanned aerial vehicles for bridge inspections and a review of the equipment commonly used in their development.

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Visual Object Detection For Autonomous UAV Cinematography

Proceedings of the Northern Lights Deep Learning Workshop ◽

10.7557/18.5099 ◽

2020 ◽

Vol 1 ◽

pp. 6

Author(s):

Fotini Patrona ◽

Paraskevi Nousi ◽

Ioannis Mademlis ◽

Anastasios Tefas ◽

Ioannis Pitas

Keyword(s):

Unmanned Aerial Vehicles ◽

State Of The Art ◽

Limited Resource ◽

High Accuracy ◽

Limited Resources ◽

Visual Object ◽

Trade Off ◽

The Past ◽

Art Object ◽

Aerial Vehicles

The popularization of commercial, battery-powered, camera-equipped, Vertical Take-off and Landing (VTOL) Unmanned Aerial Vehicles (UAVs) during the past decade, has significantly affected aerial video capturing operations in varying domains. UAVs are affordable, agile and flexible, having the ability to access otherwise inaccessible spots. However, their limited resources burden computation cinematography techniques on operating with high accuracy and real-time speed on such devices. State-of-the-art object detectors and feature extractors are, thus, studied in this work, aiming to find a trade-off between performance and speed that will allow UAV exploitation for intelligent cinematography purposes. Experimental evaluation on three newly introduced datasets of rowing boats, cyclists and parkour athletes is performed and evidence is provided that even limited-resource autonomous UAVs can indeed be used for cinematography applications.

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