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Duration: 6 months
Status: Concluded
Project Contact: António Falcão (ajf@uninova.pt)

Financing: Instituto Pedro Nunes (program: ESA - Portugal Technology Transfer Initiative)

ILUV - Intelligent Landing of Unmanned aerial Vehicles
Project Summary

The objective of this project is a feasibility study for the transfer of the IPSIS technology (Intelligent safe landing algorithm - link) into Unmanned Aerial Vehicles (UAV's) for providing services for governmental entities (e.g. civil protection, cartography) and other civil markets. Here, we denote these vehicles ILUV (Intelligent Landing of Unmanned Vehicles).

Uninova's (the inventor) IPSIS algorithm is based on a conceptual mathematical model, which combines concepts from multi-criteria decision making concepts with evolutionary optimization algorithms, thus providing a novel, robust and efficient approach to the problematic of safe-landing with hazard avoidance. IPSIS has been tried-and-tested within the space domain in Astrium ST simulator (one direct contract and one project financed by ESA) and also by Deimos Eng. on the scope of the Lunar Lander phase B (LuLaB) project.

Spin.Works (the customer) already develops UAV's with embedded guidance, navigation and control systems as well as, for ESA, GNC and Hazard Detection and Avoidance (HDA) algorithms both for planetary missions as well as other commercial applications. Increasing safety, security and efficiency is one of the main drivers for the use of UAVs by civil users. Hence, the use of IPSIS technology could definitely bring added value to current UAV's by ensuring autonomous and safe landing while reducing operational costs.

Research areas
  • Fuzzy logic
  • Image processing
  • Multi-criteria decision making

Relevant Publications

T. C. Pais, R. A. Ribeiro, L. F. Simões. Uncertainty in dynamically changing input data. In: Computational Intelligence in Complex Decision Systems. DaRuan (Ed), Atlantis Computational Intelligent Systems-Vol 2, Chapter 2, World Scientific (2010). ISBN: 9789078677277

Simoes, L., Bourdarias, C., and Ribeiro, R.A., Real-Time Planetary Landing Site Selection -- A Non-Exhaustive Approach, Acta Futura, 5 (2012) pp.39-52, http://dx.doi.org/10.2420/AF05.2012.39

" Clement Bourdarias, Cunha, P. Da , Drai, R., Simões, L. F., and Ribeiro, R. A. Optimized and flexible multi-criteria decision making for hazard avoidance. In Proceedings of the 33rd Annual AAS Rocky Mountain Guidance and Control Conference, Colorado, USA. American Astronautical Society. (2010).