Enabling Technologies for Personal Aerial Transportation Systems
Mycopter is a new project funded by the European Union under the 7th Framework Programme to investigate enabling technologies for a personal aerial transportation system (PATS). More information can be found on the official project website.
Lifting public transportation into the third dimension
The myCopter project aims to pave the way for PAVs to be used by the general public within the context of such a transport system. The project consortium consists of experts that can make the technology advancements necessary for a viable PATS, and a partner to assess the impact of the envisioned PATS on society (socio-technological evaluation). To this end, test models of handling dynamics for potential PAVs will be designed and implemented on unmanned aerial vehicles, motion simulators, and a manned helicopter. In addition, an investigation into the human capability of flying a PAV will be conducted, resulting in a user-centred design of a suitable human-machine interface (HMI).
Furthermore, the project will introduce new automation technologies for obstacle avoidance, path planning and formation flying, which also have excellent potential for other aerospace applications. This project is a unique integration of technological advancements and social investigations that are necessary to move public transportation into the third dimension.
Our task is to identify sensor systems that can detect multiple aircrafts reliably, either collaboratively (by automatic communication with nearby PAVs) or non-collaboratively (detecting aircrafts and other obstacles that do not carry a compatible collision avoidance system). Potential sensor modalities are based on GPS, radio communication, radar, acoustics, and electro-optical systems including laser sensors and computer vision. EPFL’s CVLab collaborates on computer vision techniques for detecting other aircrafts, and identifying obstacle-free landing locations. We will develop a small-scale sensor suite and test it on autonomous robotic aircrafts. This research has obvious potential benefits in the near future for Unmanned Aerial Vehicles (UAVs) and the currently available, lightweight personal aircrafts.
Partners
- Max Planck Institute for Biological Cybernetics (project leader)
- ETH Zürich
- Karlsruhe Institute of Technology
- University of Liverpool
- DLR Braunschweig
- EPFL CVLab
Publications
À bras-le-corps ! Savants et instruments au Collège de France au XIXe siècle
Paris: Éditions du Collège de France, 2024-04-11.A Closed-Form Pairwise Solution to Local Non-Rigid Structure-from-Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2024.Recent Advances in Alginate-Based Hydrogels for Cell Transplantation Applications.
Pharmaceutics. 2024. Vol. 16, p. 469. DOI : 10.3390/pharmaceutics16040469.Embodied Carbon Premium for Cantilevers
Buildings. 2024. Vol. 14, num. 4, p. 871. DOI : 10.3390/buildings14040871.An image convolution-based method for the irregular stone packing problem in masonry wall construction
European Journal of Operational Research. 2024. DOI : 10.1016/j.ejor.2024.01.037.Discomfort glare from daylight: Influence of transmitted color and the eye’s macular pigment
Bright environments Daylight in Sustainable Building Design, ETH Zurich, Switzerland, August 25, 2023.Variation in Phototopic and Melanopic Lighting in Swiss Offices: A Field Study
2023-09-20. CIE 2023 Conference, Ljubljana, Slovenia, September 18-20, 2023.Error estimates for SUPG-stabilised Dynamical Low Rank Approximations
2024.Seasonal asymmetries and long-term trends in atmospheric and ionospheric temperatures in polar regions and their dependence on solar activity (SATS)
2023
« La plus vieille usine du monde ». Socio-histoire de l’incinérateur du Vallon (1958-2005)
2024-03-27