Home ›
Entities
› academia
› Application of Data Sensor Fusion Using Extended Kalman Filter Algorithm for Identification and Tracking of Moving Targets from LiDAR–Radar Data
Application of Data Sensor Fusion Using Extended Kalman Filter Algorithm for Identification and Tracking of Moving Targets from LiDAR–Radar Data
Research article (Remote Sensing, 2023) · cited 48× · AI/ML
Application of Data Sensor Fusion Using Extended Kalman Filter Algorithm for Identification and Tracking of Moving Targets from LiDAR–Radar Data
Summary
Application of Data Sensor Fusion Using Extended Kalman Filter Algorithm for Identification and Tracking of Moving Targets from LiDAR–Radar Data is a scholarly article[1].
Key Facts
Application of Data Sensor Fusion Using Extended Kalman Filter Algorithm for Identification and Tracking of Moving Targets from LiDAR–Radar Data'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). Application of Data Sensor Fusion Using Extended Kalman Filter Algorithm for Identification and Tracking of Moving Targets from LiDAR–Radar Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-data-sensor-fusion-using-extended-kalman-filter-algorithm-for-identification-and-tracking-of-moving-targe
MLA“Application of Data Sensor Fusion Using Extended Kalman Filter Algorithm for Identification and Tracking of Moving Targets from LiDAR–Radar Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-data-sensor-fusion-using-extended-kalman-filter-algorithm-for-identification-and-tracking-of-moving-targe.
BibTeX@misc{4ortxyz_application-of-data-sensor-fusion-using-extended-kalman-filter-algorithm-for-identification-and-tracking-of-moving-targe_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of Data Sensor Fusion Using Extended Kalman Filter Algorithm for Identification and Tracking of Moving Targets from LiDAR–Radar Data}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-data-sensor-fusion-using-extended-kalman-filter-algorithm-for-identification-and-tracking-of-moving-targe}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Application of Data Sensor Fusion Using Extended Kalman Filter Algorithm for Identification and Tracking of Moving Targets from LiDAR–Radar Data — https://4ort.xyz/entity/application-of-data-sensor-fusion-using-extended-kalman-filter-algorithm-for-identification-and-tracking-of-moving-targe (retrieved 2026-05-24)
