English

LEADS: Lightweight Embedded Assisted Driving System

Software Engineering 2024-10-24 v1 Machine Learning Systems and Control Systems and Control

Abstract

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.

Keywords

Cite

@article{arxiv.2410.17554,
  title  = {LEADS: Lightweight Embedded Assisted Driving System},
  author = {Tianhao Fu and Querobin Mascarenhas and Andrew Forti},
  journal= {arXiv preprint arXiv:2410.17554},
  year   = {2024}
}

Comments

12 pages

R2 v1 2026-06-28T19:32:24.065Z