Vehicle classification algorithm based on binary proximity sensors and neural networks
To improve the classification accuracy, a new algorithm was developed with binary proximity magnetic sen- sors and back propagation neural networks. In this algorithm, use the low cost and high sensitive magnetic sensors to de- tect the magnetic field distortion when vehicle pass by them and estimat...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2008-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74654691/ |
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| _version_ | 1841537581097943040 |
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| author | ZHANG Wei TAN Guo-zhen DING Nan SHANG Yao |
| author_facet | ZHANG Wei TAN Guo-zhen DING Nan SHANG Yao |
| author_sort | ZHANG Wei |
| collection | DOAJ |
| description | To improve the classification accuracy, a new algorithm was developed with binary proximity magnetic sen- sors and back propagation neural networks. In this algorithm, use the low cost and high sensitive magnetic sensors to de- tect the magnetic field distortion when vehicle pass by them and estimate vehicle length with the geometrical characteris- tics of binary proximity networks, and finally classify vehicles via neural networks. The inputs to the neural networks in- clude the vehicle length, velocity and the sequence of features vector set, and the output is predefined vehicle types. Simulation and on-road experiment obtains high recognition rate of 93.61%. It verified that this algorithm enhances the vehicle classification with high accuracy and solid robustness. |
| format | Article |
| id | doaj-art-ed66d0672fa94897bfd2ae2fc38048f4 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2008-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-ed66d0672fa94897bfd2ae2fc38048f42025-01-14T08:31:36ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2008-01-012913914474654691Vehicle classification algorithm based on binary proximity sensors and neural networksZHANG WeiTAN Guo-zhenDING NanSHANG YaoTo improve the classification accuracy, a new algorithm was developed with binary proximity magnetic sen- sors and back propagation neural networks. In this algorithm, use the low cost and high sensitive magnetic sensors to de- tect the magnetic field distortion when vehicle pass by them and estimate vehicle length with the geometrical characteris- tics of binary proximity networks, and finally classify vehicles via neural networks. The inputs to the neural networks in- clude the vehicle length, velocity and the sequence of features vector set, and the output is predefined vehicle types. Simulation and on-road experiment obtains high recognition rate of 93.61%. It verified that this algorithm enhances the vehicle classification with high accuracy and solid robustness.http://www.joconline.com.cn/zh/article/74654691/intelligent transportationvehicle classificationbinary proximity sensor networksneural networkclustering |
| spellingShingle | ZHANG Wei TAN Guo-zhen DING Nan SHANG Yao Vehicle classification algorithm based on binary proximity sensors and neural networks Tongxin xuebao intelligent transportation vehicle classification binary proximity sensor networks neural network clustering |
| title | Vehicle classification algorithm based on binary proximity sensors and neural networks |
| title_full | Vehicle classification algorithm based on binary proximity sensors and neural networks |
| title_fullStr | Vehicle classification algorithm based on binary proximity sensors and neural networks |
| title_full_unstemmed | Vehicle classification algorithm based on binary proximity sensors and neural networks |
| title_short | Vehicle classification algorithm based on binary proximity sensors and neural networks |
| title_sort | vehicle classification algorithm based on binary proximity sensors and neural networks |
| topic | intelligent transportation vehicle classification binary proximity sensor networks neural network clustering |
| url | http://www.joconline.com.cn/zh/article/74654691/ |
| work_keys_str_mv | AT zhangwei vehicleclassificationalgorithmbasedonbinaryproximitysensorsandneuralnetworks AT tanguozhen vehicleclassificationalgorithmbasedonbinaryproximitysensorsandneuralnetworks AT dingnan vehicleclassificationalgorithmbasedonbinaryproximitysensorsandneuralnetworks AT shangyao vehicleclassificationalgorithmbasedonbinaryproximitysensorsandneuralnetworks |