Adaptive Networks Research Papers - Academia.edu (original) (raw)

Conference (DASC), the preeminent R&D conference in the field of digital avionics offered by two distinguished professional societies, the American Institute of Aeronautics and Astronautics (AIAA) and the Institute of Electrical and Electronics Engineers (IEEE). Continuing its rich tradition of incorporating attendees from diverse backgrounds to discuss relevant technical topics, the conference continues to provide an environment that includes educational and recreational opportunities. We welcome everyone to join us at the 41 st DASC. CONFERENCE THEME Roadmap for Increasingly Autonomous Systems in Air Transportation The current age of information technology has seen the rise of increasingly autonomous systems where human intelligence is augmented with machine intelligence, and the roadmap for adopting autonomous technologies in aviation is ramping up. As we move to accept increased autonomy in flight systems, in drones, UAS platforms, larger air transport, and in their interactions with ground and space-based systems, the need to assure the safety and verification of these technologies is paramount, particularly for those technologies that incorporate learning enabled functionality. Integrating these technologies within the air transport system while maintaining safety and security requirements will effectively reveal assurance challenges which will, over time, produce certification requirements beneficial to both design and operations at the appropriate level of risk. Beyond certification, there are ethical and environmental considerations along with liability concerns surrounding autonomous machine decisions, especially while managing emergency operations. The 41 st DASC will explore the technology roadmap that will enable increasingly autonomous systems that incorporate humans and machines along with formulations that can aid the future certification of these systems for air transportation. Conference participants are invited to submit cutting edge research papers and exchange diverse perspectives on how the industry currently is or how it should be realizing the vision for autonomy in the future. Original research on technical challenges, gaps, and approaches to enhance traditional ATM, UAS, CNS, IMA, security, space systems, and human factors are encouraged. Areas of emphasis will include: 2022.dasconline.org » Machine Learning in Practice » Adaptive Networks » Cognitive Assistants » Safety Assurance and Human Factors » Integration of Autonomous Vehicles » Multi-modal Interaction to support human-autonomy teaming » Security/Assurance » Single pilot and reduced crew operations » Trust in automation » Certification Co-sponsor