https://orcid.org/0000-0001-6413-193X
https://orcid.org/0000-0002-1935-076X
https://orcid.org/0000-0003-3603-1709
https://orcid.org/0000-0003-3820-479X
https://orcid.org/0000-0001-6413-193X
https://orcid.org/0000-0002-1935-076X
https://orcid.org/0000-0003-3603-1709
https://orcid.org/0000-0003-3820-479X
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.
A Survey on Hybrid Human-Artificial Intelligence for Autonomous Driving
IEEE Transactions on Intelligent Transportation Systems ; 23 , 7 ; 6011-6026
01.07.2022
2111434 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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