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