Medina Lee, Juan FelipeTrentin, ViniciusVillagra, Jorge2019-08-162019Medina Lee, J.F., Trentin, V., Villagra, J. (2019). Framework for motion prediction of vehicles in a simulation environment. En XL Jornadas de Automática: libro de actas, Ferrol, 4-6 de septiembre de 2019 (pp.520-527). DOI capítulo: https://doi.org/10.17979/spudc.9788497497169.520. DOI libro: https://doi.org/10.17979/spudc.9788497497169978-84-9749-716-9http://hdl.handle.net/2183/23788[Abstract] Efficient testing and validation of software components for highly automate vehicles is one of the key challenges to be solved for their massive deployment. The number of driving situation and environment variables makes validation almost intractable with real vehicles in open roads, and the testing reproducibility can only be achieved via simulation. This manuscript presents a framework and preliminary results for motion prediction of vehicles in a simulation environment that is being currently developed by the AUTOPIA Program.engAtribución-NoComercial-CompartirIgual 4.0http://creativecommons.org/licenses/by-nc-sa/4.0Driving corridorsSimulation environmentAutonomous vehicleLCMMotion predictionProbabilistic reachable setsconference outputopen accesshttps://doi.org/10.17979/spudc.9788497497169.520