Retraction Notice: DSiV: Data Science for Intelligent Vehicles

Data science (DS) devotes to extract useful data from noisy one to form actionable insights. It has broad applications in many domains such as internet search, tourism and social media. However, less systematic studies related to DS have been done in the field of intelligent vehicles (IV). As the size of data in IV becomes more enormous than ever before, it is necessary to give a high-level view on how to utilize DS for achieving better IV. After briefly retrospecting the history of DS, we shed light on the potential and prospects of DS in the IV domain through discussing data management, trusted data, interpretability, high-order relationship of intelligent vehicle data and so on. We also analyze the relationship between DS and several practical intelligent vehicle applications including self-driving system, data visualization, parallel intelligent vehicle system.

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Publication Details

Journal
IEEE Transactions on Intelligent Vehicles
Published
2024-11-20
DOI
https://doi.org/10.1109/tiv.2024.3502096
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Retraction Notice: DSiV: Data Science for Intelligent Vehicles

Haolin Fu, Shihmin Wang, Hongming Shan, Jian Pu et al.
IEEE Transactions on Intelligent Vehicles
Anomaly Detection Techniques and Applications
article

Retraction Notice: DSiV: Data Science for Intelligent Vehicles

Haolin Fu, Shihmin Wang, Hongming Shan, Jian Pu, Dewang Chen, Yongzhi Tao, Jie Chen, Qi Chen, Yunfeng Xiao, Junping Zhang, Yuan Cheng, Siming Chen, Fei‐Yue Wang
article en

Abstract

Data science (DS) devotes to extract useful data from noisy one to form actionable insights. It has broad applications in many domains such as internet search, tourism and social media. However, less systematic studies related to DS have been done in the field of intelligent vehicles (IV). As the size of data in IV becomes more enormous than ever before, it is necessary to give a high-level view on how to utilize DS for achieving better IV. After briefly retrospecting the history of DS, we shed light on the potential and prospects of DS in the IV domain through discussing data management, trusted data, interpretability, high-order relationship of intelligent vehicle data and so on. We also analyze the relationship between DS and several practical intelligent vehicle applications including self-driving system, data visualization, parallel intelligent vehicle system.

IEEE Transactions on Intelligent Vehicles
Fudan University (CN), Shanghai Institute for Science of Science (CN), Beijing Academy of Artificial Intelligence (CN), Shanghai Center for Brain Science and Brain-Inspired Technology (CN), University of Chinese Academy of Sciences (CN), Fujian University of Technology (CN)
Openalex Percentile: Top 81%
Anomaly Detection Techniques and Applications
DOISourceOpenAlex
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