ZeloS：自動運転研究の初期段階検証のための研究プラットフォーム
ZeloS -- A Research Platform for Early-Stage Validation of Research Findings Related to Automated Driving
自動運転手法を研究初期段階で実機検証するための小型車両プラットフォームZeloSを開発し、そのハードウェアとモジュール式自動化アーキテクチャ、最適化ベースの運動計画・制御を実験データで示した。
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: Christopher Bohn, Florian Siebenrock, Janne Bosch, Tobias Hetzner, Samuel Mauch, Philipp Reis, Timo Staudt, Manuel Hess, Ben-Micha Piscol, Sören Hohmann
分類: cs.RO, cs.SY, eess.SY
原文アブストラクト
This paper presents ZeloS, a research platform designed and built for practical validation of automated driving methods in an early stage of research. We overview ZeloS' hardware setup and automation architecture and focus on motion planning and control. ZeloS weighs 69 kg, measures a length of 117 cm, and is equipped with all-wheel steering, all-wheel drive, and various onboard sensors for localization. The hardware setup and the automation architecture of ZeloS are designed and built with a focus on modularity and the goal of being simple yet effective. The modular design allows the modification of individual automation modules without the need for extensive onboarding into the automation architecture. As such, this design supports ZeloS in being a versatile research platform for validating various automated driving methods. The motion planning component and control of ZeloS feature optimization-based methods that allow for explicitly considering constraints. We demonstrate the hardware and automation setup by presenting experimental data.
