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dc.contributor.authorWen, Qi
dc.contributor.authorCao, Siyang
dc.date.accessioned2024-03-13T17:43:26Z
dc.date.available2024-03-13T17:43:26Z
dc.date.issued2023-11-30
dc.identifier.citationQ. Wen and S. Cao, "Radar Range-Doppler Flow: A Radar Signal Processing Technique to Enhance Radar Target Classification," in IEEE Transactions on Aerospace and Electronic Systems, doi: 10.1109/TAES.2023.3337757.en_US
dc.identifier.issn0018-9251
dc.identifier.doi10.1109/taes.2023.3337757
dc.identifier.urihttp://hdl.handle.net/10150/671228
dc.description.abstractPrecise clustering of radar point clouds holds immense value in the context of training data annotations for various radar applications, including autonomous vehicles. However, due to the unique characteristics of radar data, such as sparsity, noise, and specularity, accurately separating radar detections into distinct objects poses a significant challenge. The traditional approaches of using location and Doppler as clustering features often fail when objects are in close spatial proximity and exhibit similar speeds &#x2013; a scenario that is common in urban environments. To address this challenge, we introduce the concept of radar range-Doppler flow and a technique that extracts radial acceleration information of the surrounding targets. By incorporating radial acceleration into the feature space for radar point cloud clustering, we demonstrate a significant advantage over traditional methods, particularly when targets are in close proximity and moving at similar speeds. Our approach provides an effective clustering solution in automotive radar applications in dense urban driving environments and any other similar situations where numerous targets coexist, and exhibit complex and unpredictable motion dynamics. We also share more results on a GitHub repository: <uri>https://github.com/radar-lab/RD_Flow.git</uri>. IEEEen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rights© 2023 IEEE.en_US
dc.rights.urihttps://rightsstatements.org/vocab/InC/1.0/en_US
dc.subjectMillimeter wave radaren_US
dc.subjectRadar applicationsen_US
dc.subjectRadar point cloud clusteringen_US
dc.subjectRadar signal processingen_US
dc.subjectRadar target classificationen_US
dc.subjectComputer visionen_US
dc.subjectDoppler effecten_US
dc.subjectDoppler radaren_US
dc.subjectLaser radaren_US
dc.subjectOptical flowen_US
dc.subjectRadaren_US
dc.titleRadar Range-Doppler Flow: A Radar Signal Processing Technique to Enhance Radar Target Classificationen_US
dc.typeArticleen_US
dc.identifier.eissn1557-9603
dc.identifier.eissn2371-9877
dc.contributor.departmentUniversity of Arizonaen_US
dc.identifier.journalIEEE Transactions on Aerospace and Electronic Systemsen_US
dc.description.noteImmediate accessen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal accepted manuscripten_US
dc.source.journaltitleIEEE Transactions on Aerospace and Electronic Systems
dc.source.beginpage1
dc.source.endpage10
refterms.dateFOA2024-03-13T17:43:29Z


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