LEADS: Lightweight Embedded Assisted Driving System
Tianhao Fu, Querobin Mascarenhas, Andrew Forti

TL;DR
LEADS is a lightweight embedded system designed to simplify and enhance the development of assisted driving in amateur electric vehicle racing, reducing complexity and improving efficiency.
Contribution
The paper introduces LEADS, a novel lightweight embedded system tailored for amateur racing vehicles, streamlining instrumentation, control, and analysis tasks.
Findings
LEADS reduces system complexity for amateur racing vehicles.
LEADS improves development efficiency in embedded assisted driving.
LEADS demonstrates practical application in electric vehicle races.
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.
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Taxonomy
TopicsReal-time simulation and control systems · Embedded Systems and FPGA Design · Autonomous Vehicle Technology and Safety
