Toward Fully Autonomous Driving: AI, Challenges, Opportunities, and Needs
Ullrich L, Buchholz M, Dietmayer K, Graichen K (2026)
Publication Language: English
Publication Type: Journal article
Publication year: 2026
Journal
Book Volume: 14
Pages Range: 1-26
URI: https://ieeexplore.ieee.org/document/11367669
DOI: 10.1109/ACCESS.2026.3659192
Open Access Link: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11367669
Abstract
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.
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Germany (DE)How to cite
APA:
Ullrich, L., Buchholz, M., Dietmayer, K., & Graichen, K. (2026). Toward Fully Autonomous Driving: AI, Challenges, Opportunities, and Needs. IEEE Access, 14, 1-26. https://doi.org/10.1109/ACCESS.2026.3659192
MLA:
Ullrich, Lars, et al. "Toward Fully Autonomous Driving: AI, Challenges, Opportunities, and Needs." IEEE Access 14 (2026): 1-26.
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