自律走行レース研究の進展：RoboRacer（F1TENTH）プラットフォームの包括的サーベイ
Advancing Autonomous Racing: A Comprehensive Survey of the RoboRacer (F1TENTH) Platform
RoboRacer（F1TENTH）プラットフォームのハードウェア・ソフトウェア構成、研究応用、Sim2Real、データセット、競技会などを包括的に調査し、自律走行研究の基盤としての役割をまとめたサーベイ論文。
詳しい要約
1. どんなもの？
2. 先行研究と比べてどこがすごい？
3. 技術・手法の肝は？
4. どうやって有効だと検証した？
5. 議論はある？
6. 次に読むべき論文は？
※ AIが要旨から生成した要約です。正確性は原文をご確認ください。
著者: Israel Charles, Hossein Maghsoumi, Yaser Fallah
分類: cs.RO, cs.SY, eess.SY
原文アブストラクト
The RoboRacer (F1TENTH) platform has emerged as a leading testbed for advancing autonomous driving research, offering a scalable, cost-effective, and community-driven environment for experimentation. This paper presents a comprehensive survey of the platform, analyzing its modular hardware and software architecture, diverse research applications, and role in autonomous systems education. We examine critical aspects such as bridging the simulation-to-reality (Sim2Real) gap, integration with simulation environments, and the availability of standardized datasets and benchmarks. Furthermore, the survey highlights advancements in perception, planning, and control algorithms, as well as insights from global competitions and collaborative research efforts. By consolidating these contributions, this study positions RoboRacer as a versatile framework for accelerating innovation and bridging the gap between theoretical research and real-world deployment. The findings underscore the platform's significance in driving forward developments in autonomous racing and robotics.
