UruBots自律走行カー: FIRA 2024参加報告
UruBots Autonomous Cars Team One Description Paper for FIRA 2024
FIRA 2024の自律走行カーチャレンジに向けて、カメラ映像を5層CNNで学習し自律走行するRCカーサイズの電動車両を開発した。
著者: Pablo Moraes, Christopher Peters, Any Da Rosa, Vinicio Melgar, Franco Nuñez, Maximo Retamar, William Moraes, Victoria Saravia, Hiago Sodre, Sebastian Barcelona, Anthony Scirgalea, Juan Deniz, Bruna Guterres, André Kelbouscas, Ricardo Grando
分類: cs.RO
原文アブストラクト
This document presents the design of an autonomous car developed by the UruBots team for the 2024 FIRA Autonomous Cars Race Challenge. The project involves creating an RC-car sized electric vehicle capable of navigating race tracks with in an autonomous manner. It integrates mechanical and electronic systems alongside artificial intelligence based algorithms for the navigation and real-time decision-making. The core of our project include the utilization of an AI-based algorithm to learn information from a camera and act in the robot to perform the navigation. We show that by creating a dataset with more than five thousand samples and a five-layered CNN we managed to achieve promissing performance we our proposed hardware setup. Overall, this paper aims to demonstrate the autonomous capabilities of our car, highlighting its readiness for the 2024 FIRA challenge, helping to contribute to the field of autonomous vehicle research.
