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Black Icy Road Classification Enabled by Vehicle Self-Aligning Torque Estimation From Electric Power Steering Systems and 1-D CNNs

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Published in:IEEE Access
Format: Online Article RSS Article
Published: 2026
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container_title IEEE Access
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discipline_display Engineering & Technology
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format Online Article
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genre Journal Article
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journal_source_facet IEEE Access
publishDate 2026
publishDateSort 2026
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spellingShingle Black Icy Road Classification Enabled by Vehicle Self-Aligning Torque Estimation From Electric Power Steering Systems and 1-D CNNs
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title Black Icy Road Classification Enabled by Vehicle Self-Aligning Torque Estimation From Electric Power Steering Systems and 1-D CNNs
title_auth Black Icy Road Classification Enabled by Vehicle Self-Aligning Torque Estimation From Electric Power Steering Systems and 1-D CNNs
title_full Black Icy Road Classification Enabled by Vehicle Self-Aligning Torque Estimation From Electric Power Steering Systems and 1-D CNNs
title_fullStr Black Icy Road Classification Enabled by Vehicle Self-Aligning Torque Estimation From Electric Power Steering Systems and 1-D CNNs
title_full_unstemmed Black Icy Road Classification Enabled by Vehicle Self-Aligning Torque Estimation From Electric Power Steering Systems and 1-D CNNs
title_short Black Icy Road Classification Enabled by Vehicle Self-Aligning Torque Estimation From Electric Power Steering Systems and 1-D CNNs
title_sort black icy road classification enabled by vehicle self-aligning torque estimation from electric power steering systems and 1-d cnns
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url http://ieeexplore.ieee.org/document/11430186