Structural-Prior Deep Learning Network for Millimeter-Wave Radar Image Enhancement in Autonomous Driving Road Sensing. [PDF]
Sensors (Basel)Chen H, Huang T, Wang Y, Shi J, Xu Z.
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Millimeter-Wave Body-Centric Radar Sensing for Continuous Monitoring of Human Gait Dynamics. [PDF]
Sensors (Basel)Ganditi Y +4 more
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High-Precision Marine Radar Object Detection Using Tiled Training and SAHI Enhanced YOLOv11-OBB. [PDF]
Sensors (Basel)Külcü S.
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Ground Penetrating Radar for Subsurface Utility Detection: Methods, Challenges, and Future Directions. [PDF]
Sensors (Basel)Gao S, Hu D.
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Echo-coexisting reference channel processing for target detection in passive bistatic radar. [PDF]
Sci RepLuo Z, Che J, Ji F.
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Real-Time Radar-Based Hand Motion Recognition on FPGA Using a Hybrid Deep Learning Model. [PDF]
Sensors (Basel)Ahmed TS +4 more
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Clutter Detection in Radar Applications
, 2020 Radars have been used for detection purposes in safety applications (i.e., blind spot detection radar in cars) extensively. The existing detection methods, however, are not flawless. So far, the main focus of these methods is on detecting an object based on its reflectiveness.
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Radar-Based Assessment of Sit-to-Stand Transitions as Digital Biomarkers of Pain and Physical Decline. [PDF]
Sensors (Basel)Ziaee Bideskan M +3 more
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Ghost peaks mitigation with target-contaminated reference signal in passive bistatic radar. [PDF]
Sci RepZhang Y, Ge L, Wu Y.
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A Hybrid Millimeter-Wave Radar-Ultrasonic Fusion System for Robust Human Activity Recognition with Attention-Enhanced Deep Learning. [PDF]
Sensors (Basel)Yao L +7 more
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