Home ›
Entities
› academia
› A robust low cost approach for real time car positioning in a smart city using Extended Kalman Filter and evolutionary machine learning
A robust low cost approach for real time car positioning in a smart city using Extended Kalman Filter and evolutionary machine learning
Research article (2016 4th IEEE International Colloquium on Information Science and Technology (CiSt), 2016) · cited 14× · AI/ML
A robust low cost approach for real time car positioning in a smart city using Extended Kalman Filter and evolutionary machine learning
Summary
A robust low cost approach for real time car positioning in a smart city using Extended Kalman Filter and evolutionary machine learning is a scholarly article[1].
Key Facts
A robust low cost approach for real time car positioning in a smart city using Extended Kalman Filter and evolutionary machine learning's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). A robust low cost approach for real time car positioning in a smart city using Extended Kalman Filter and evolutionary machine learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-robust-low-cost-approach-for-real-time-car-positioning-in-a-smart-city-using-extended-kalman-filter-and-evolutionary-m
MLA“A robust low cost approach for real time car positioning in a smart city using Extended Kalman Filter and evolutionary machine learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-robust-low-cost-approach-for-real-time-car-positioning-in-a-smart-city-using-extended-kalman-filter-and-evolutionary-m.
BibTeX@misc{4ortxyz_a-robust-low-cost-approach-for-real-time-car-positioning-in-a-smart-city-using-extended-kalman-filter-and-evolutionary-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A robust low cost approach for real time car positioning in a smart city using Extended Kalman Filter and evolutionary machine learning}}, year = {2026}, url = {https://4ort.xyz/entity/a-robust-low-cost-approach-for-real-time-car-positioning-in-a-smart-city-using-extended-kalman-filter-and-evolutionary-m}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A robust low cost approach for real time car positioning in a smart city using Extended Kalman Filter and evolutionary machine learning — https://4ort.xyz/entity/a-robust-low-cost-approach-for-real-time-car-positioning-in-a-smart-city-using-extended-kalman-filter-and-evolutionary-m (retrieved 2026-05-24)
