Study on optimal velocity selection using velocity obstacle (OVVO) in dynamic and crowded environment
Summary
Study on optimal velocity selection using velocity obstacle (OVVO) in dynamic and crowded environment is a scholarly article[1].
Key Facts
Study on optimal velocity selection using velocity obstacle (OVVO) in dynamic and crowded environment's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Study on optimal velocity selection using velocity obstacle (OVVO) in dynamic and crowded environment. Retrieved May 24, 2026, from https://4ort.xyz/entity/study-on-optimal-velocity-selection-using-velocity-obstacle-ovvo-in-dynamic-and-crowded-environment
MLA“Study on optimal velocity selection using velocity obstacle (OVVO) in dynamic and crowded environment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/study-on-optimal-velocity-selection-using-velocity-obstacle-ovvo-in-dynamic-and-crowded-environment.
BibTeX@misc{4ortxyz_study-on-optimal-velocity-selection-using-velocity-obstacle-ovvo-in-dynamic-and-crowded-environment_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Study on optimal velocity selection using velocity obstacle (OVVO) in dynamic and crowded environment}}, year = {2026}, url = {https://4ort.xyz/entity/study-on-optimal-velocity-selection-using-velocity-obstacle-ovvo-in-dynamic-and-crowded-environment}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Study on optimal velocity selection using velocity obstacle (OVVO) in dynamic and crowded environment — https://4ort.xyz/entity/study-on-optimal-velocity-selection-using-velocity-obstacle-ovvo-in-dynamic-and-crowded-environment (retrieved 2026-05-24)
