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MH-T2TA: a multiple-hypothesis algorithm for multi-sensor track-to-track association with an intelligent track score
Regular Papers | Updated：2026-01-07

    • MH-T2TA: a multiple-hypothesis algorithm for multi-sensor track-to-track association with an intelligent track score

      Enhanced Publication
    • MH-T2TA：基于智能航迹评分的多传感器航迹关联多假设算法
    • “In the field of track-to-track association (T2TA), a new multiple-hypothesis algorithm for multi-sensor T2TA with an intelligent track score (MH-T2TA) has been proposed. This algorithm addresses issues in track data and association methods, providing solutions to reduce track redundancy and improve situation awareness.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 11, Pages: 2231-2253(2025)

    • DOI：10.1631/FITEE.2400340    

      CLC： TP274

    • Received：28 April 2024，

      Revised：2024-07-30，

      Published Online：12 December 2025，

      Published：2025-11

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  • Pingliang XU, Yaqi CUI, Wei XIONG. MH-T2TA: a multiple-hypothesis algorithm for multi-sensor track-to-track association with an intelligent track score[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(11): 2231-2253. DOI： 10.1631/FITEE.2400340.

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Related Author

Yang CHEN
Xin WANG
Qiongzan YE
Yupeng LI
Yu CHEN
Zhenhua ZHANG
Yangbo GAO
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Related Institution

Department of Interactive Media, Hong Kong Baptist University
Meituan
Shanghai Key Lab of Intelligent Information Processing, Fudan University
School of Computer Science, Fudan University
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University
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