A Comfort Quantification Method Based on Semi-Supervised Learning for Automated Vehicle at Lane Change Scenarios

Research article (IEEE Transactions on Intelligent Vehicles, 2022) · cited 13× · AI/ML
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A Comfort Quantification Method Based on Semi-Supervised Learning for Automated Vehicle at Lane Change Scenarios

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A Comfort Quantification Method Based on Semi-Supervised Learning for Automated Vehicle at Lane Change Scenarios is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Comfort Quantification Method Based on Semi-Supervised Learning for Automated Vehicle at Lane Change Scenarios. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-comfort-quantification-method-based-on-semi-supervised-learning-for-automated-vehicle-at-lane-change-scenarios
MLA “A Comfort Quantification Method Based on Semi-Supervised Learning for Automated Vehicle at Lane Change Scenarios.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-comfort-quantification-method-based-on-semi-supervised-learning-for-automated-vehicle-at-lane-change-scenarios.
BibTeX @misc{4ortxyz_a-comfort-quantification-method-based-on-semi-supervised-learning-for-automated-vehicle-at-lane-change-scenarios_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Comfort Quantification Method Based on Semi-Supervised Learning for Automated Vehicle at Lane Change Scenarios}}, year = {2026}, url = {https://4ort.xyz/entity/a-comfort-quantification-method-based-on-semi-supervised-learning-for-automated-vehicle-at-lane-change-scenarios}, note = {Accessed: 2026-05-24}}
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