Skip to content
DraconiticResearch
Search Sources API
203,952 studies31 sourcesUpdated 10 min ago
Peer-reviewedCC BYSensors (Basel, Switzerland)

A Novel Data Association Algorithm for Tracking and Localization Using Segmented Data Analysis

Related

  1. The RUBIK satellite payload concept: a 3D-segmented plastic scintillation-based particle tracking detector
    Roman Bergert, Dzmitry Kazlou, Hartmut Schotte +4
    arXivPreprintarXiv licenceFull textApplied physics & instrumentationarXiv
  2. On the Pose Estimation of an Untethered Microrobot via Magnetic Localization and Optical Tracking
    Tuğrul Uslu, Erkin Gezgin
    MicromachinesPeer-reviewedCC BYFull textEurope PMC
  3. A Passive Localization Algorithm That Integrates RSSI and PDOA Location Observations in a Mixed Scene
    Gui Li, Mingxuan Chen, Heyang Zhang +9
    Sensors (Basel, Switzerland)Peer-reviewedCC BYFull textEurope PMC
  4. Association of alkaline phosphatase and segmented neutrophils count with low appendicular lean mass in middle-aged women: Evidence from an American cross-sectional survey.
    Shanlan Yang, Jiaofeng Wang, Dayoung Kim +4
    The Journal of frailty & agingPeer-reviewedCC BYFull textPhysiologyEurope PMC
  5. A Spatiotemporal Hybrid Integration Algorithm for Airborne Target Detection and Localization in Multi-Illuminator GNSS-Based Passive Radar.
    Fan Xu, Feng Luo, Zixuan He +3
    Sensors (Basel, Switzerland)Peer-reviewedCC BYFull textEurope PMC
BibTeX
@article{anon2026novel,
  title = {{A Novel Data Association Algorithm for Tracking and Localization Using Segmented Data Analysis}},
  journal = {Sensors (Basel, Switzerland)},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13667542},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - A Novel Data Association Algorithm for Tracking and Localization Using Segmented Data Analysis
PY  - 2026
DA  - 2026/09/29
JO  - Sensors (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13667542
SN  - 1424-8220
ER  -