Time to lane change and completion prediction based on Gated Recurrent Unit Network

Research article (2019 IEEE Intelligent Vehicles Symposium (IV), 2019) · cited 35× · AI/ML
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Time to lane change and completion prediction based on Gated Recurrent Unit Network

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Time to lane change and completion prediction based on Gated Recurrent Unit Network is a scholarly article[1].

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  • Time to lane change and completion prediction based on Gated Recurrent Unit Network's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Time to lane change and completion prediction based on Gated Recurrent Unit Network. Retrieved May 24, 2026, from https://4ort.xyz/entity/time-to-lane-change-and-completion-prediction-based-on-gated-recurrent-unit-network
MLA “Time to lane change and completion prediction based on Gated Recurrent Unit Network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/time-to-lane-change-and-completion-prediction-based-on-gated-recurrent-unit-network.
BibTeX @misc{4ortxyz_time-to-lane-change-and-completion-prediction-based-on-gated-recurrent-unit-network_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Time to lane change and completion prediction based on Gated Recurrent Unit Network}}, year = {2026}, url = {https://4ort.xyz/entity/time-to-lane-change-and-completion-prediction-based-on-gated-recurrent-unit-network}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Time to lane change and completion prediction based on Gated Recurrent Unit Network — https://4ort.xyz/entity/time-to-lane-change-and-completion-prediction-based-on-gated-recurrent-unit-network (retrieved 2026-05-24)

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