Cobano Suárez, José AntonioConde, RobertoAlejo, DavidOllero Baturone, Aníbal2025-01-252025-01-252011Cobano, J.A., Conde, R., Alejo, D. y Ollero, A. (2011). Path planning based on Genetic Algorithms and the Monte-Carlo method to avoid aerial vehicle collisions under uncertainties. En 2011 IEEE International Conference on Robotics and Automation (4429-4434), Shanghai, China. Institute of Electrical and Electronics Engineers (IEEE).1050-4729https://hdl.handle.net/11441/167504This paper presents a collision-free path planning method for an aerial vehicle sharing airspace with other aerial vehicles. It is based on grid models and genetic algorithms to find safe trajectories. Monte-Carlo method is used to evaluate the best predicted trajectories considering different sources of uncertainty such as the wind, the inaccuracies in the vehicle model and limitations of on-board sensors and control system.application/pdf6 p.enginfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1109/ICRA.2011.5980246