Belda Beneyto, María JoséOlcoz Herrero, KatzalinCastro Rodríguez, FernandoTirado Fernández, Francisco2023-06-222023-06-222022-101666-604610.24215/16666038.22.e10https://hdl.handle.net/20.500.14352/73098© 2022 Universidad Nacional de La Plata The present work has been funded by the Comunidad de Madrid through project S2018/TCS-4423 and by the Ministry of Science, Innovation and Universities through project RTI2018-093684-B-I00.In recent years, autonomous vehicles have attracted the attention of many research groups, both in academia and business, including researchers from leading companies such as Google, Uber and Tesla. This type of vehicles are equipped with systems that are subject to very strict requirements, essentially aimed at performing safe operations -both for potential passengers and pedestrians- as well as carrying out the processing needed for decision making in real time. In many instances, general-purpose processors alone cannot ensure that these safety, reliability and real-time requirements are met, so it is common to implement paper explores the acceleration of a line detection aprunning without accelerator.engjournal articlehttp://dx.doi.org/10.24215/16666038.22.e10https://journal.info.unlp.edu.ar/open access004.8Autonomous vehiclesFiresimImage processingMatrix acceleratorRISC-VInteligencia artificial (Informática)1203.04 Inteligencia Artificial