LEADS: Lightweight Embedded Assisted Driving System
Fuente:
arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866929555014418432 |
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| author | Fu, Tianhao Mascarenhas, Querobin Forti, Andrew |
| author_facet | Fu, Tianhao Mascarenhas, Querobin Forti, Andrew |
| contents | With the rapid development of electric vehicles, formula races that face high school and university students have become more popular than ever as the threshold for design and manufacturing has been lowered. In many cases, we see teams inspired by or directly using toolkits and technologies inherited from standardized commercial vehicles. These architectures are usually overly complicated for amateur applications like the races. In order to improve the efficiency and simplify the development of instrumentation, control, and analysis systems, we propose LEADS (Lightweight Embedded Assisted Driving System), a dedicated solution for such scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_17554 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | LEADS: Lightweight Embedded Assisted Driving System Fu, Tianhao Mascarenhas, Querobin Forti, Andrew Software Engineering Machine Learning Systems and Control With the rapid development of electric vehicles, formula races that face high school and university students have become more popular than ever as the threshold for design and manufacturing has been lowered. In many cases, we see teams inspired by or directly using toolkits and technologies inherited from standardized commercial vehicles. These architectures are usually overly complicated for amateur applications like the races. In order to improve the efficiency and simplify the development of instrumentation, control, and analysis systems, we propose LEADS (Lightweight Embedded Assisted Driving System), a dedicated solution for such scenarios. |
| title | LEADS: Lightweight Embedded Assisted Driving System |
| topic | Software Engineering Machine Learning Systems and Control |
| url | https://arxiv.org/abs/2410.17554 |