完全自動運転に向けて：AI、課題、機会、そして必要性
Toward Fully Autonomous Driving: AI, Challenges, Opportunities, and Needs
自動運転の現状を分析し、AIがもたらす課題と機会を整理して、完全自動運転実現に必要な研究課題を明らかにしたレビュー論文。
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: Lars Ullrich, Michael Buchholz, Klaus Dietmayer, Knut Graichen
分類: cs.RO, cs.ET
原文アブストラクト
Automated driving (AD) is promising, but the transition to fully autonomous driving is, among other things, subject to the real, ever-changing open world and the resulting challenges. However, research in the field of AD demonstrates the ability of artificial intelligence (AI) to outperform classical approaches, handle higher complexities, and reach a new level of autonomy. At the same time, the use of AI raises further questions of safety and transferability. To identify the challenges and opportunities arising from AI concerning autonomous driving functionalities, we have analyzed the current state of AD, outlined limitations, and identified foreseeable technological possibilities. Thereby, various further challenges are examined in the context of prospective developments. In this way, this article reconsiders fully autonomous driving with respect to advancements in the field of AI and carves out the respective needs and resulting research questions.
