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20232026
most citedDeep Learning-Based Robust Multi-Object Tracking via Fusion of mmWave Radar and Camera Sensors

40 citations · 85 across the 9 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

eess.SP2024

mmWave Radar for Sit-to-Stand Analysis: A Comparative Study with Wearables and Kinect

Shuting Hu, Peggy Ackun, Xiang Zhang +5

This study explores a novel approach for analyzing Sit-to-Stand (STS) movements using millimeter-wave (mmWave) radar technology. The goal is to develop a non-contact sensing, priva…

cs.CV2024★ 40 cited

Deep Learning-Based Robust Multi-Object Tracking via Fusion of mmWave Radar and Camera Sensors

Lei Cheng, Arindam Sengupta, Siyang Cao

Autonomous driving holds great promise in addressing traffic safety concerns by leveraging artificial intelligence and sensor technology. Multi-Object Tracking plays a critical rol…