A survey on hybrid human-artificial intelligence for autonomous driving
Abstract
With the continuous development of Artificial Intelligence (AI), autonomous driving has become a popular research area. AI enables the autonomous driving system to make a judgment, which makes studies on autonomous driving reaches a period of booming development. However, due to the defects of AI, it is not easy to realize a general intelligence, which also limits the research on autonomous driving. In this paper, we summarize the existing architectures of autonomous driving and make a taxonomy. Then we introduce the concept of hybrid human-artificial intelligence (H-AI) into a semi-autonomous driving system. For making better use of H-AI, we propose a theoretical architecture based on it. Given our architecture, we classify and overview the possible technologies and illustrate H-AI’s improvements, which provides a new perspective for the future development. Finally, we have identified several open research challenges to attract the researchers for presenting reliable solutions in this area of research.
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Robots like self-driving cars use AI to detect obstacles and predict traffic movements.
“For instance, robots like self-driving cars use AI to detect obstacles and predict traffic movements.”
From Artificial intelligence, machine learning and deep learning in advanced robotics, a review (2023) · cites this paper as [18]
ML algorithms use data from sensors, cameras, and GPS to make navigation decisions.
“Meanwhile, ML algorithms use data from sensors, cameras, and GPS to make navigation decisions [18] .”
From Artificial intelligence, machine learning and deep learning in advanced robotics, a review (2023) · cites this paper as [18]
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Artificial intelligence, machine learning and deep learning in advanced robotics, a review
Soori, M., Arezoo, B., & Dastres, R. (2023) · Cognitive Robotics · doi:10.1016/j.cogr.2023.04.001 · Cited by 1,131 · see citing works
- Authors
- Ning, H., Yin, R., Ullah, A., & Shi, F.
- Affiliations
- University of Science and Technology Beijing (CN)
- National University of Modern Languages (PK)
- Venue
- IEEE Transactions on Intelligent Transportation Systems
- Published
- 2022-07
- Volume
- 23
- Issue
- 7
- Pages
- 6011-6026
- ISSN
- 1524-9050 (ISSN-L)
- 1558-0016
- OpenAlex
- W3158339401
- Cited by
- 84
- References
- 12
- Citations by year
- 2026: 12 · 2025: 20 · 2024: 23 · 2023: 18 · 2022: 11
- FWCI
- 11.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Intelligent Transportation Systems (publishedVersion)
- Funders
- National Natural Science Foundation of China (61872038, 61811530335)
- U.K. Royal Society-Newton Mobility (IEC\NSFC\170067)
- Topics
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
- Physical Sciences › Engineering › Automotive Engineering › Vehicle Dynamics and Control Systems
- Keywords
- autonomous driving, semi-autonomous driving, human-machine interaction, human-in-the-loop decision making
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