Key technologies for safe and autonomous drones

Hussein, Mansour F.; Nouacer, Réda; Corradi, Federico; Ouhammou, Yassine; Villar, Eugenio; Tieri, Carlo; Castiñeira, Rodrigo

doi:10.1016/j.micpro.2021.104348

Cited by 24 publications

(20 citation statements)

References 27 publications

(32 reference statements)

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“…In addition, the market offers a wide catalog of drones with distinctive features, such as integrated cameras, global positioning system devices, wireless connectivity, accelerometers, and altimeters. This easy access to drones also allows researchers to test different solutions without major risks [39].…”

Section: Discussionmentioning

confidence: 99%

Vision-Based Flying Obstacle Detection for Avoiding Midair Collisions: A Systematic Review

Vera-Yanez,

Pereira,

Rodrigues

et al. 2023

J. Imaging

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This paper presents a systematic review of articles on computer-vision-based flying obstacle detection with a focus on midair collision avoidance. Publications from the beginning until 2022 were searched in Scopus, IEEE, ACM, MDPI, and Web of Science databases. From the initial 647 publications obtained, 85 were finally selected and examined. The results show an increasing interest in this topic, especially in relation to object detection and tracking. Our study hypothesizes that the widespread access to commercial drones, the improvements in single-board computers, and their compatibility with computer vision libraries have contributed to the increase in the number of publications. The review also shows that the proposed algorithms are mainly tested using simulation software and flight simulators, and only 26 papers report testing with physical flying vehicles. This systematic review highlights other gaps to be addressed in future work. Several identified challenges are related to increasing the success rate of threat detection and testing solutions in complex scenarios.

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Section: Discussionmentioning

confidence: 99%

Vision-Based Flying Obstacle Detection for Avoiding Midair Collisions: A Systematic Review

Vera-Yanez,

Pereira,

Rodrigues

et al. 2023

J. Imaging

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“…Drones are Unmanned Aircraft Systems (UAS), also known as Unmanned Aerial Vehicles (UAVs), that is, aircraft without pilot or passengers, typically remote-controlled, maybe with a degree of autonomy [2]. While initially found in the military sector, technology progression allowed them to enter the recreational sector and are now gaining ground in the fringes of the commercial environment [18]. In parallel, technical components and subsystems that are applicationoptimised focus on highly automated UAS, they benefit from expertise in other domains, especially when it comes to Electronic Components and Systems (ECS), such as the automotive one.…”

Section: Introductionmentioning

confidence: 99%

“…Accomplishing safe and efficient BVLOS operations can be a challenging and complex process that depends on several factors for instance, transmission and EASN-2023 Journal of Physics: Conference Series 2716 (2024) 012056 reception of data, execution of software functions, and environmental conditions, such as higher wind speed. Moreover, UAVs may consume large amounts of propulsion power to accelerate, maintain airborne or perform hovering tasks at different altitudes [18]. In recent years, a number of works have focused on improving the performance and robustness of UAV deployment by exploring different optimization criteria, while he high demand of access to airspace in urban areas will require reinforced solutions and abilities for UAS operations, including navigation accuracy, management of failure and detect and avoid (DAA) capabilities [23].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the new market trends of UAVS for safe BVLOS operations

Politi,

Rodosthenous,

Dos Reis

et al. 2024

J. Phys.: Conf. Ser.

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UAVs are currently conquering the skies as prominent tools for various data-intensive applications, in the economic, transport, military and civil sector. While initially found application in the military sector, technology progression allowed them to enter the recreational sector and are now gaining ground in the fringes of the commercial environment. In parallel, technical components and subsystems that are application-optimised focus on highly automated drones, benefit from expertise in other domains, especially when it comes to Electronic Components and Systems (ECS), such as the automotive one, to operate beyond the visual line of sight (BVLOS) with a rather high degree of autonomy. Such technological developments, as well as currents trends and societal needs have opened the way for an unparalleled expansion in the use of UAS for a great number of applications, where humans cannot reach or are unable to perform in a timely and efficient manner. This work aims to present a in-depth analysis of the current market trends that shape the existing landscape for the development of safe and reliable BVLOS operations.

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“…For UAVs, it is necessary to enhance their autonomy [1,2], which enables them to independently process various sensitive information, assess the current situation, and make plans or predictions for current and future tactical missions [3]. An autonomous mission planning system is an important support for improving the operational effectiveness of the precision guidance of weapons and UAVs [4,5].…”

Section: Introductionmentioning

confidence: 99%

Automated Flight Technology for Integral Path Planning and Trajectory Tracking of the UAV

Gao,

Yan,

et al. 2023

Drones

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In view of the problem that path planning and trajectory tracking are rarely solved simultaneously in the current research, which hinders their practical implementation, this paper focuses on enhancing the autonomous flight planning capability of unmanned aerial vehicles (UAVs) by investigating integrated path planning and trajectory tracking technologies. The autonomous flight process is divided into two sub-problems: waypoint designing/optimizing and waypoint tracking. Firstly, an improved DB-RRT* algorithm is proposed for waypoint planning to make the algorithm have higher planning efficiency, better optimization results, and overcome the defects of accidental and low reliability of single RRT* planning results. Secondly, the scheme of “offline design + online flight” is adopted to lead the UAV to fly online according to the waypoints’ instructions by using the sliding mode guidance based on angle constraint with finite-time convergence so that it can fly to the destination autonomously. In order to check the performance of the proposed algorithm, a variety of simulations are conducted to verify the feasibility of the proposed algorithm.

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Key technologies for safe and autonomous drones

Cited by 24 publications

References 27 publications

Vision-Based Flying Obstacle Detection for Avoiding Midair Collisions: A Systematic Review

Vision-Based Flying Obstacle Detection for Avoiding Midair Collisions: A Systematic Review

Analysis of the new market trends of UAVS for safe BVLOS operations

Automated Flight Technology for Integral Path Planning and Trajectory Tracking of the UAV

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