Mind the gap: Developments in autonomous driving research and the sustainability challenge.

ABSTRACT: Scientific knowledge on autonomous-driving technology is expanding at a faster-than-ever pace. As a result, the likelihood of incurring information overload is particularly notable for researchers, who can struggle to overcome the gap between information processing requirements and information processing capacity. We address this issue by adopting a multi-granulation approach to latent knowledge discovery and synthesis in large-scale research domains. The proposed methodology combines citation-based community detection methods and topic modelling techniques to give a concise but comprehensive overview of how the autonomous vehicle (AV) research field is conceptually structured. Thirteen core thematic areas are extracted and presented by mining the large data-rich environments resulting fro

SUBMITTER: Mora L 

PROVIDER: S-EPMC7484706 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature