Published

A DNN-LSTM based Target Tracking Approach using mmWave Radar and Camera Sensor Fusion

A. Sengupta, F. Jin, S. Cao

IEEE National Aerospace and Electronics Conference (NAECON), 2019 , pp. 688-693

Abstract

A sensor fusion study combining monocular camera and mmWave radar using deep neural networks and LSTMs. Presents a decision framework to produce reliable output when either sensor fails, leveraging radar's accurate depth information and camera's cross-range resolution. Experimental results demonstrate advantages over single-sensor approaches under uncertainty conditions.

Citation

A. Sengupta, F. Jin, S. Cao. "A DNN-LSTM based Target Tracking Approach using mmWave Radar and Camera Sensor Fusion." IEEE National Aerospace and Electronics Conference (NAECON): 688-693, 2019. DOI: 10.1109/NAECON46414.2019.9058168

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Details

Year
2019
Published In
IEEE National Aerospace and Electronics Conference (NAECON)
Pages
688-693
DOI
10.1109/NAECON46414.2019.9058168
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