A5044958748- Safety Systems Engineering in Autonomy
- Software Reliability and Analysis Research
- Formal Methods in Verification
- Real-Time Systems Scheduling
- Software Testing and Debugging Techniques
- Real-time simulation and control systems
- Air Traffic Management and Optimization
- Autonomous Vehicle Technology and Safety
- Risk and Safety Analysis
- Adversarial Robustness in Machine Learning
- AI-based Problem Solving and Planning
- Human-Automation Interaction and Safety
- Fault Detection and Control Systems
- Explainable Artificial Intelligence (XAI)
- Simulation Techniques and Applications
- Robotic Path Planning Algorithms
- Model-Driven Software Engineering Techniques
- Anomaly Detection Techniques and Applications
- Aviation Industry Analysis and Trends
- Railway Systems and Energy Efficiency
- Advanced Neural Network Applications
- Vehicular Ad Hoc Networks (VANETs)
- Modeling and Simulation Systems
- Advanced Software Engineering Methodologies
- Occupational Health and Safety Research
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
2016-2025
Institute of Flight
2018
Abstract Urban Air Mobility (UAM) is a new air transportation system for passengers and cargo in urban environments, enabled by technologies integrated into multimodal systems. The vision of UAM comprises the mass use suburban complementing existing systems contributing to decarbonization transport sector. Initial attempts create market last century failed due lack profitability community acceptance. Technological advances numerous fields over past few decades have led renewed interest...
Software verification for highly automatic unmanned aerial vehicles is not only a problem itself, it furthermore constrained by certification standards and regulatory rules. These, however, are themselves still under development. As top-level view, the current status of vehicle verification, certification, regulation addressed corresponding challenges discussed. From low-level this work presents processes tools that were established software development, validation rotorcraft testbed ARTIS....
View Video Presentation: https://doi.org/10.2514/6.2021-3197.vid Efficiency, safety, feasibility, sustainability and affordability are among the key characteristics of future urban mobility. The project "HorizonUAM – Urban Air Mobility Research at German Aerospace Center (DLR)" provides first answers to this vision by pooling existing competencies individual institutes within DLR. HorizonUAM combines research about air mobility (UAM) vehicles, corresponding infrastructure, operation UAM...
A key necessity for the safe and autonomous flight of Unmanned Aircraft Systems (UAS) is their reliable perception environment, example, to assess safety a landing site. For visual perception, Machine Learning (ML) provides state-of-the-art results in terms performance, but path aviation certification has yet be determined as current regulation standard documents are not applicable ML-based components due data-defined properties. However, European Union Aviation Safety Agency (EASA)...
Automation and eventually autonomy are regarded as the enabler for upcoming Urban Air Mobility (UAM) / Advanced segment. Only they could enable unprecedented opportunities scaling drones air taxis to a large number of vehicles, making services available everyone. Artificial Intelligence (AI) in general, Machine Learning (ML) particular promise huge leap towards achieving high levels automation further autonomy. Nevertheless, safety concerns challenges regarding compliance existing software...
View Video Presentation: https://doi.org/10.2514/6.2021-0525.vid This paper discusses the philosophy and editorial considerations behind ongoing second revision of ASTM F38 Committee standard on run time assurance for aircraft systems – F3269, titled "Standard Practice Methods to Safely Bound Flight Behavior Unmanned Aircraft Systems Containing Complex Functions". It describes key aspects Run Time Assurance (RTA) architecture as depicted in current provides some insights design best...
View Video Presentation: https://doi.org/10.2514/6.2021-3198.vid The term Urban Air Mobility covers many several applications to meet different transport needs. cross-institutional and interdisciplinary research project "HorizonUAM – Research at the German Aerospace Center (DLR)" brings together a wide variety of departments from DLR fields on vision Mobility. This paper describes five use cases Intra-City, Mega-City, Airport-Shuttle, Sub-Urban Inter-City, which were defined in order create...
The aerospace domain is a safety-critical domain. Therefore software has to be of high quality. Software development and testing in domains regulated by standards, such as DO-178B DO-178C for the However, test approach these standards stochastic nature, which means that errors code are tried identified large set cases. trust products overall quality achieved traceability requirements strict coverage criteria well general conformance processes rigorous documentation, but any absence can...
View Video Presentation: https://doi.org/10.2514/6.2021-3199.vid HorizonUAM is a DLR project to research the vision of urban air mobility. One important topic safety and security aspect. This paper discusses considerations in areas of: safe autonomy, reliable multisensor navigation, robust efficient communication, U-space traffic, finally cyber-physical security. As basis for future discussion, challenges gaps are identified, furthermore context briefly outlined. From perspective, missing...
View Video Presentation: https://doi.org/10.2514/6.2022-1133.vid Machine learning (ML) has proven to be the tool of choice for achieving human-like or even super-human performance with automation on specific tasks. As a result, this data-driven approach is currently experiencing massive interest in all industry domains. This increased use also applies safety critical aviation domain. With no human pilot board, potential cases ML unmanned aircraft are particularly promising. Even upcoming...
View Video Presentation: https://doi.org/10.2514/6.2022-2103.vid Developing safety-critical AI-based systems is an emerging challenge in aviation. Amongst others, the recent concept paper of European Union Aviation Safety Agency (EASA), "First usable guidance for Level 1 machine learning applications", provides invaluable insights to tackle this challenge. It particularly highlights importance synthetic data training, validation and testing as a means complementing real-world completeness...
This work presents the processes and tools that were installed developed to validate ARTIS software achieve compliance of an unmanned rotorcraft testbed with corresponding standards. A brief introduction autonomous guidance navigation capabilities our aircraft is given in order illustrate complexity practical integration challenges introduced by such functionalities. Our development process presented which aimed at a balance between exhaustive testing rapid new features. It features greedy...
System health management is an important feature of autonomy, enhancing consistency checks, overall system robustness and even some degree self-awareness. Seemingly unrelated, debugging analysis such complex systems another challenge during development that should not be underrated. We propose the so-called runtime monitoring relevant properties requirements a viable technique to support both aforementioned concepts. A suitable approach for cyber-physical has efficient capable supervising...
This work deals with general difficulties and aims when testing complex distributed systems, especially heterogeneous interfaces are used. As a solution RemoteTest is proposed, framework for the test of systems their interfaces. done by integrating individual system components into virtual environment that emulates adjacent modules system. The interface details thereby abstracted there no special knowledge necessary tester. In addition to decoupling abstraction, facilitates flexible...
Abstract The new concept for operation of drones, published by EASA in 2015, enables ways to influence and possibly reduce the necessary safety targets certain system components without reducing overall unmanned aircraft (UAS). Based on assessment, specific category architectures mission designs. In this context, paper analyzes runtime monitoring as a strategy contain UAS its operational volume. To assure predefined properties flight thus progress with high robustness, formal methodology...
View Video Presentation: https://doi.org/10.2514/6.2023-1124.vid The introduction of machine learning in the aviation domain is an ongoing process. This also true for safety-critical domains, especially area Urban Air Mobility. A significant growth number air taxis and increasing level autonomy to be expected allowing operating a large complex urban environments. Due complexity tasks environment, key functions will realized using learning, example camera-based detection objects. However,...
The transition towards autonomous operations for Urban Air Mobility introduces significant safety challenges, necessitating novel assurance strategies. One such strategy is runtime assurance, which ensures the safe behavior of a system during its actual operation. This can be implemented by using monitor that detects unsafe behaviors and then activates switch to recovery function return state. paper investigates certification aspects monitoring, core component assurance. We analyze...
Automated mission planning is one of the key components an autonomous UAV. The software validation and verification for such decisional autonomy functions a challenging problem. component includes closed loop vehicle control as well environment perception. As this safety-critical component, it important that works safely within projected performance boundaries. This paper discusses approach sampling-based planner unmanned rotorcraft. A layered test strategy presented, which utilizes...