An optimal hierarchical framework of the trajectory following by convex optimisation for highly automated driving vehicles

Research article (Vehicle System Dynamics, 2018) · cited 52× · AI/ML
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An optimal hierarchical framework of the trajectory following by convex optimisation for highly automated driving vehicles

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An optimal hierarchical framework of the trajectory following by convex optimisation for highly automated driving vehicles is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An optimal hierarchical framework of the trajectory following by convex optimisation for highly automated driving vehicles. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-optimal-hierarchical-framework-of-the-trajectory-following-by-convex-optimisation-for-highly-automated-driving-vehicl
MLA “An optimal hierarchical framework of the trajectory following by convex optimisation for highly automated driving vehicles.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-optimal-hierarchical-framework-of-the-trajectory-following-by-convex-optimisation-for-highly-automated-driving-vehicl.
BibTeX @misc{4ortxyz_an-optimal-hierarchical-framework-of-the-trajectory-following-by-convex-optimisation-for-highly-automated-driving-vehicl_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An optimal hierarchical framework of the trajectory following by convex optimisation for highly automated driving vehicles}}, year = {2026}, url = {https://4ort.xyz/entity/an-optimal-hierarchical-framework-of-the-trajectory-following-by-convex-optimisation-for-highly-automated-driving-vehicl}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An optimal hierarchical framework of the trajectory following by convex optimisation for highly automated driving vehicles — https://4ort.xyz/entity/an-optimal-hierarchical-framework-of-the-trajectory-following-by-convex-optimisation-for-highly-automated-driving-vehicl (retrieved 2026-05-24)

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