In this application background, the dissertation researches on engineer vehicle recognition system model based on the profile of the vehicle.
在这样的应用背景下，本论文主要研究了工程车辆的外形特征自动识别系统的模型。
The practice in the vehicle recognition using this model proofs that through supervised training, this model can correctly recognize the vehicle in spite of some interferential pixels.
实践表明，该网络经过监督学习后，能屏除车辆中一定量干扰象素影响，准确地识别出各种外形车的车型。
This paper introduces a recognition method on different models of vehicle on a multi-model mixed robot painting line.
介绍了多品种混流机器人喷漆自动线的汽车车型识别系统的一种识别方法。
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