Product Tests in Virtual Reality: Lessons Learned during Collision Avoidance Development for Drones

Settgast, Volker; Kostarakos, Konstantinos; Eggeling, Eva; Hartbauer, Manfred; Ullrich, Torsten

doi:10.3390/designs6020033

Cited by 5 publications

(4 citation statements)

References 39 publications

(36 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The developed physical model assumed that the system dynamics are impacted by mechanical actions (values and moments of gravitational, propulsion and reactive forces resulting from the aircraft's contact with the cart's surface, as well as aerodynamic force values and moments acting upon the aircraft), and take-off cart magnetic levitation forces associated with the Meissner effect. As demonstrated in [23,26], levitation force values and moments depend on the strength and orientation of the magnetic field generated by launcher tracks, as well as the position and orientation of levitating superconductors. The levitation force resultant acting upon the take-off cart has been modeled as the total value and moment of forces acting upon four boxes of the take-off cart [24].…”

Section: System Dynamics Modelmentioning

confidence: 98%

“…On the other hand, VR technology is increasingly being used to create 3D models and visualizations for virtual prototyping. For example, article [22] addressed the issue of remote and immersive control of UAVs based on VR, while [23] undertook the development of bionic sensor systems for visual detection of UAV collisions. This article presents a new way of presenting engineering simulation results using a VR environment.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

VR-Supported Analysis of UAV—Magnetic Launcher’s Cart System

2023

View full text Add to dashboard Cite

The subject of the research is a model of a magnetic launcher, which is an innovative alternative to commercially occurring unmanned aircraft launchers (UAV). As the take-off is an energy-demanding phase of the flight; therefore, abandoning the power supply of the UAV during this phase significantly affects increasing the potential range and duration of UAV flight. The magnetic launcher offers the significant advantage of minimizing friction between the starting cart and the launcher, resulting in the higher energy efficiency of the system. Research conducted so far has shown that the possibility of accelerating the aircraft on the longer runway offered by the launcher reduces aircraft overloads occurring during take-off. As a result, the launcher, aircraft, and onboard equipment are much safer. This paper presents the system’s mathematical modeling and numerical simulation results for micro-class UAV take-off and landing using the analyzed magnetic launcher. The computer program for analyzing system dynamics was implemented in the MATLAB environment. Simulation results were visualized graphically and as animations in Virtual Reality. The VR application was implemented in Unity and ran on VR goggles Oculus Quest2. The simulations carried out show that—in the absence of control—an important factor reducing the takeoff distance and affecting the aircraft load is the adoption of a non-zero takeoff thrust of the UAV. The initial pitch angle also has a significant impact on the takeoff process. With an increase in this parameter, the length of the takeoff distance decreases and the lift-off speed decreases, but too much pitch angle may result in the aircraft descending in the first moments of flight, which could lead to a collision with the launch rails.

show abstract

Section: System Dynamics Modelmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

VR-Supported Analysis of UAV—Magnetic Launcher’s Cart System

2023

View full text Add to dashboard Cite

show abstract

“…This Special Issue on the "Unmanned Aerial System (UAS) Modeling, Simulation and Control-Part I" focuses on publishing original manuscripts and literature review papers in the areas of UAS modeling, simulation, robust control, artificial intelligent control, design, aerodynamics, aeroelasticity, morphing systems, trajectory optimization, flight tests, wind tunnel tests and other areas closely related to UAS technology improvement. This Special Issue presents research on various UASs and other systems, including the UAS-S45 from the Mexican company Hydra Technologies [1], quadrotors [2,3], drone collision avoidance systems [4], Remotely Piloted Aircraft Systems (RPASs) in [5] and satellite trajectories tracking by radar [6].…”

mentioning

confidence: 99%

“…In ''Product Tests in Virtual Reality: Lessons Learned during Collision Avoidance Development for Drones" [4], the Virtual Reality (VR) testing of a collision avoidance system for drones was investigated and further analyzed in terms of economic benefits. The obtained results have shown that VR tests had benefits expressed in terms of the reduction in the development time, risks and, therefore, costs of the drone collision-avoidance system.…”

mentioning

confidence: 99%

Unmanned Aerial System (UAS) Modeling, Simulation and Control

Botez

2022

Designs

View full text Add to dashboard Cite

show abstract

Implementation of BIM-based model checking technology for managing maintenance planning in green building ecosystem

Ismail

2022

OHI

View full text Add to dashboard Cite

PurposeThe green building (GB) maintenance industry has been under increasing pressure by designers to demonstrate its evaluation and information management of building information modelling based model checking (BMC) to the competency's performance and design knowledge of building control instrument. This main problem has been termed as maintenance planning level. Although maintenance planning has been explored in GB maintenance environments, less is known about what maintenance planning problems currently exist and what their causes are, such as the recent fire in the Grenfell Tower (14 June 2017, about 80 fatalities) in North Kensington, West London. The aim of this paper is to identify how GB maintenance environments could integrate BMC within their processes. The purpose of this study is to assess the BMC technology management of GB maintenance ecosystem and that of a soft skills level to establish the impact of innovation policy features on database and safety risk function mechanism.Design/methodology/approachTo achieve this aim, a comprehensive literature review of the existing conceptualisation of BMC practices is reviewed and the main features of Information and Communication Technology tools and techniques currently being employed on such GB maintenance ecosystem is carried out to evaluate the strengths and weaknesses of the previous studies. The conceptual framework explores the importance of integration of BMC in the construction phase to identify alternative methods in the automation system (AS) process to co-generate, monitor and optimise BMC.FindingsThe results confirm that BMC tool positively influences database application and risk mechanism of construction project safety while agreeableness negatively does. Besides, database application has a negative influence on innovation policy of company towards BMC implementation. Propositions derived not only shed light on guidance for future research on the soft skills of construction organisations, but also provide decision-making support through a better understanding of the factors affecting soft skills level amongst biggest construction companies.Originality/valueThus far, this study advances the knowledge about how GB maintenance environments can ensure BMC delivery. This paper highlights the need for further research to integrate BMC in GB maintenance environments validates the framework across the construction phase with different GB project managers and engineers.

show abstract

Product Tests in Virtual Reality: Lessons Learned during Collision Avoidance Development for Drones

Cited by 5 publications

References 39 publications

VR-Supported Analysis of UAV—Magnetic Launcher’s Cart System

VR-Supported Analysis of UAV—Magnetic Launcher’s Cart System

Unmanned Aerial System (UAS) Modeling, Simulation and Control

Implementation of BIM-based model checking technology for managing maintenance planning in green building ecosystem

Contact Info

Product

Resources

About