DSDCLA: driving style detection via hybrid CNN-LSTM with multi-level attention fusion-Reference-Cited by-同舟云学术

DSDCLA: driving style detection via hybrid CNN-LSTM with multi-level attention fusion

Published:2023-02-27 Issue:16 Volume:53 Page:19237-19254
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Liu Jing,Liu Yang,Li Di,Wang Hanqi,Huang Xiaohong,Song Liang

Funder

Shanghai Key Research Laboratory of Networking System of AI

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-023-04451-5.pdf

Reference56 articles.

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2. Bejani M M, Ghatee M (2018) A context aware system for driving style evaluation by an ensemble learning on smartphone sensors data. Transportation Research Part C: Emerging Technologies 89:303–320. https://doi.org/10/gdcv2s

3. Bejani M M, Ghatee M (2020) Convolutional neural network with adaptive regularization to classify driving styles on smartphones. IEEE Trans Intell Transp Syst 21(2):543–552. https://doi.org/10/gnkknp

4. Chan T K, Chin C S, Chen H et al (2020) A comprehensive review of driver behavior analysis utilizing smartphones. IEEE Trans Intell Transp Syst 21(10):4444–4475. https://doi.org/10/ghnt9h

5. Chechetka A (2019) Pilotguru. https://github.com/waiwnf/pilotguru

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