Automated Cargo Delivery in Low Altitudes: Concepts and Research Questions of an Operational-Risk-Based Approach

Dauer, Johann C.; Dittrich, Jörg

doi:10.1007/978-3-030-83144-8_1

Cited by 5 publications

(5 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…F Person View (FPV) remote control capabilities are desired for flight testing of novel Unmanned Aircraft Systems (UAS) and can serve as a backup for prospective autonomous systems as well. The German Aerospace Center's (DLR) unmanned testbed ALAADy-Demonstrator [1], a 450 kg gyroplane, is a demonstrator for unmanned freight transportation, and is used as an example unmanned system for evaluation. In its FPV Ground Control Station (FPV-GCS), sensor-based synthetic vision is utilized in addition to a live, close to real time, video system.…”

Section: Introductionmentioning

confidence: 99%

“…• and the ability to combine them with virtual reality systems for an even more immersive piloting experience. A wireless data link, that synthetic vision based remote control relies on, will introduce additional transmission delays into the system [1][2][3][4] (besides existing delays e.g. from computational processing).…”

Section: Introductionmentioning

confidence: 99%

“…The delay has been observed to reach an order of magnitude of 100 ms in previous flight tests of the DLR's demonstrator system. This number might still increase specifically with new connection methods for BVLOS scenarios like cellular networks or satellite connections (the latter can suffer from delays up to the order of seconds) [1][2][3][4]. In addition, limited bandwidth leads to common sensor data sampling rates of only about 2 -4 Hz in the downlink.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation of Model-based Real-time Latency Compensation for Unmanned Aircraft Remote Control

Ostermann,

Laubner,

Lorenz

2024

AIAA SCITECH 2024 Forum

View full text Add to dashboard Cite

For advanced flight testing of novel Unmanned Aircraft Systems (UAS) based on a synthetic vision, special skills and properties are required for direct First Person View (FPV) remote control. Necessary wireless data links and computer based data processing will introduce latency into the system. A UAS demonstration system has previously been built at the German Aerospace Center (DLR). For this system it was observed that the overall latency of the system reaches a magnitude where Pilot Induced Oscillation (PIO) occurs. In addition, bandwidth limitations result in low sampling rates in the downlink, leading to jerking flight information displays and visualizations. Due to those influences, handling qualities are fairly poor and will further decrease for Beyond Visual Line Of Sight (BVLOS) operations. To provide a pilot with smooth, accurate, and up-to-date visual cues, a compensation approach is developed that accounts for the full combination of: Delays, low sample rates, unavailable aircraft state measurements, modelling uncertainties, disturbances and sensor noises. An evaluation of three model-based methods is performed in this work, supported by a pilot-in-the-loop simulation test campaign. The measured accuracy of the compensated output as well as the subjective handling quality surveys show very promising results.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of Model-based Real-time Latency Compensation for Unmanned Aircraft Remote Control

Ostermann,

Laubner,

Lorenz

2024

AIAA SCITECH 2024 Forum

View full text Add to dashboard Cite

show abstract

“…It can also be used as a traditional manned helicopter to slung water tanks to participate in urban high-rise buildings or forest fire fighting, load and transport a large number of materials to support disaster areas, or collect samples, and even in the military [7]. America's K-MAX helicopter, for example, is already used to transport with external slung load [8]. Therefore, it has always been a topic of great interest to international researchers [9].…”

Section: Introductionmentioning

confidence: 99%

Online Trajectory Planning Method for Double-Pendulum Quadrotor Transportation Systems

Ping

Wang

et al. 2021

Electronics

View full text Add to dashboard Cite

This study investigates the trajectory planning problem for double-pendulum quadrotor transportation systems. The goal is to restrain the hook swing and payload swing while achieving precise positioning. An online trajectory planning method with two capabilities—precise positioning and swing suppression—is proposed. The stability and convergence of the system are proved using the Lyapunov principle and the LaSalle’s invariance theory. Simulation results show that the proposed method has excellent control performance.

show abstract

“…Figure1-1: Impact and interplay with the safety defining risks in the air, on the ground, and the amount of involvement required from the pilot to manage them. Modified from(Dauer & Dittrich, 2022) …”

mentioning

confidence: 99%

Improving Aeromagnetic Surveying Capabilities of Uninhabited Aircraft Systems

Cunningham¹

View full text Add to dashboard Cite

Uninhabited aircraft systems (UAS) have grown in popularity for aeromagnetic surveying. While the technology has been demonstrated to be viable, studies have not addressed three areas. First, comparisons with traditional platforms over geologically interesting regions are limited. Second, demonstrations of advanced processing with UAS data are rare. And lastly, methods for magnetic compensation of UAS data is outstanding. This thesis addresses these three areas in UAS and machine learning and making time to have regular discussions on my research and providing invaluable guidance in helping me complete my graduate studies. I would also like to thank Mr. David Birkett, Mr. Alan Wood, and the rest of the Stratus Aeronautics Inc. team for organizing and performing the UAS survey work in Nelligan, QC and for providing valuable insight into their UAS. Thank you to Mr. Mark Goldie (IAMGOLD Corporation) for making supporting this project by allowing for the aeromagnetic survey over the Nelligan, QC property as well as taking time to bring me to your Quebec exploration office to discuss details of the property. A big thank you to Mr. Steve Balch for encouraging me to push beyond my perceived limits, mentoring me in all things related to airborne geophysics, and providing me opportunities to gain working experiences in the industry; your guidance and support has been invaluable. And thank you to the Department of Earth Sciences and Carleton University for the support they have provided during my studies. I am grateful for the funding provided for my PhD studies. The sources include

show abstract

Automated Cargo Delivery in Low Altitudes: Concepts and Research Questions of an Operational-Risk-Based Approach

Cited by 5 publications

References 25 publications

Evaluation of Model-based Real-time Latency Compensation for Unmanned Aircraft Remote Control

Evaluation of Model-based Real-time Latency Compensation for Unmanned Aircraft Remote Control

Online Trajectory Planning Method for Double-Pendulum Quadrotor Transportation Systems

Improving Aeromagnetic Surveying Capabilities of Uninhabited Aircraft Systems

Contact Info

Product

Resources

About