RT Journal Article
T1 Optimization of a Line detection algorithm for autonomous vehicles on a RISC-V with accelerator
A1 Belda Beneyto, María José
A1 Olcoz Herrero, Katzalin
A1 Castro Rodríguez, Fernando
A1 Tirado Fernández, José Francisco
AB 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.
PB Universidad Nacional de La Plata
SN 1666-6046
YR 2022
FD 2022-10
LK https://hdl.handle.net/20.500.14352/73098
UL https://hdl.handle.net/20.500.14352/73098
LA eng
NO © 2022 Universidad Nacional de La PlataThe 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.
NO Ministerio de Ciencia e Innovación (MICINN) / FEDER
NO Comunidad de Madrid
DS Docta Complutense
RD 6 abr 2025