Paper Info
Title
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.
Year
DOI
Venue
2022
10.1109/TITS.2021.3074695
IEEE Transactions on Intelligent Transportation Systems
Keywords
DocType
Volume
Artificial intelligence,hybrid human-artificial intelligence,autonomous driving,theoretical architecture
Journal
23
Issue
ISSN
Citations 
7
1524-9050
0
PageRank 
References 
Authors
0.34
58
4
Name
Order
Citations
PageRank
Huansheng Ning184783.48
Rui Yin200.34
Ata Ullah3239.06
Feifei Shi482.47