کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
384288 | 660843 | 2010 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A neural network approach to target classification for active safety system using microwave radar
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A neural network approach to target classification for active safety system using microwave radar A neural network approach to target classification for active safety system using microwave radar](/preview/png/384288.png)
چکیده انگلیسی
As a sensor in the active safety system of vehicles, the microwave radar (MWR) would be a good choice for the localization of the nearby targets but could be a bad choice for their classification or identification. In this paper, a target classification system using a 24 GHz microwave radar sensor is proposed for the active safety system. The basic idea of this paper is that the pedestrians and the vehicles have different reflection characteristics for a microwave. A multilayer perceptron (MLP) neural network is employed to classify the targets and the probabilistic fusion is conduct over time to improve the classification accuracy. Some experiments are performed to show the validity of the proposed system.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 37, Issue 3, 15 March 2010, Pages 2340–2346
Journal: Expert Systems with Applications - Volume 37, Issue 3, 15 March 2010, Pages 2340–2346
نویسندگان
Seongkeun Park, Jae Pil Hwang, Euntai Kim, Heejin Lee, Ho Gi Jung,