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Optimization of a Line detection algorithm for autonomous vehicles on a RISC-V with accelerator



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Belda Beneyto, María José and Olcoz Herrero, Katzalin and Castro Rodríguez, Fernando and Tirado Fernández, Francisco (2022) Optimization of a Line detection algorithm for autonomous vehicles on a RISC-V with accelerator. Journal of computer science & technology, 22 (2). pp. 129-140. ISSN 1666-6046

[thumbnail of Olcoz30 libre.pdf]

Official URL: http://dx.doi.org/10.24215/16666038.22.e10


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.

Item Type:Article
Additional Information:

© 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.

Uncontrolled Keywords:Autonomous vehicles; Firesim; Image processing; Matrix accelerator; RISC-V
Subjects:Sciences > Computer science > Artificial intelligence
ID Code:77072
Deposited On:24 Mar 2023 14:55
Last Modified:24 Mar 2023 14:55

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