基于DNN-LSTM的毫米波雷达与相机传感器融合目标跟踪方法

2019 IEEE National Aerospace and Electronics Conference (NAECON) Pub Date : 2019-07-01 DOI:10.1109/NAECON46414.2019.9058168

Arindam Sengupta, Feng Jin, Siyang Cao

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引用次数: 26

摘要

提出了一种基于深度神经网络和lstm的单目相机与毫米波雷达传感器融合的新方法。提出的研究包括一个决策框架，以产生可靠的输出当任何一个传感器失效。最后给出了单传感器不确定度的实验结果和该方法的优点。

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

A new sensor fusion study for monocular camera and mmWave radar using deep neural network and LSTMs is presented. The proposed study includes a decision framework to produce reliable output when either sensor fails. Experiment results to demonstrate single sensor uncertainty and the proposed method’s advantages are also presented.

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来源期刊

2019 IEEE National Aerospace and Electronics Conference (NAECON)

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