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Automatic Vehicle Model Recognition and Lateral Position Estimation Based on Magnetic Sensors

Research article (IEEE Transactions on Intelligent Transportation Systems, 2020) · cited 12× · AI/ML
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Automatic Vehicle Model Recognition and Lateral Position Estimation Based on Magnetic Sensors

Summary

Automatic Vehicle Model Recognition and Lateral Position Estimation Based on Magnetic Sensors is a scholarly article[1].

Key Facts

  • Automatic Vehicle Model Recognition and Lateral Position Estimation Based on Magnetic Sensors's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Automatic Vehicle Model Recognition and Lateral Position Estimation Based on Magnetic Sensors. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-vehicle-model-recognition-and-lateral-position-estimation-based-on-magnetic-sensors
MLA “Automatic Vehicle Model Recognition and Lateral Position Estimation Based on Magnetic Sensors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-vehicle-model-recognition-and-lateral-position-estimation-based-on-magnetic-sensors.
BibTeX @misc{4ortxyz_automatic-vehicle-model-recognition-and-lateral-position-estimation-based-on-magnetic-sensors_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic Vehicle Model Recognition and Lateral Position Estimation Based on Magnetic Sensors}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-vehicle-model-recognition-and-lateral-position-estimation-based-on-magnetic-sensors}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic Vehicle Model Recognition and Lateral Position Estimation Based on Magnetic Sensors — https://4ort.xyz/entity/automatic-vehicle-model-recognition-and-lateral-position-estimation-based-on-magnetic-sensors (retrieved 2026-05-24)

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