Toward Fully Autonomous Driving: AI, Challenges, Opportunities, and Needs

Read full text
Authors: Lars Ullrich, Michael Buchholz, Klaus Dietmayer, Knut Graichen
Cited by: 6
References: 331

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.

Fields of Study & Subjects

Autonomous Vehicle Technology and Safety Human-Automation Interaction and Safety Transportation and Mobility Innovations

Publication details

Journal / source
IEEE Access
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
14
Pages
17971–17997
Publication date
1 January 2026
Language
EN