Driving behavior recognition and prediction based on Bayesian model
Since the existing intelligent driving systems are lack of efficiency and accuracy when processing huge number of driving data,a brand new approach of processing driving data was developed to identify and predicate human driving behavior based on Bayesian model.The approach was proposed to take two...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2018-03-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018043/ |
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| _version_ | 1841539433449390080 |
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| author | Xinsheng WANG Zhen BIAN |
| author_facet | Xinsheng WANG Zhen BIAN |
| author_sort | Xinsheng WANG |
| collection | DOAJ |
| description | Since the existing intelligent driving systems are lack of efficiency and accuracy when processing huge number of driving data,a brand new approach of processing driving data was developed to identify and predicate human driving behavior based on Bayesian model.The approach was proposed to take two steps to deduce the specific driving behavior from driving data correspondingly without any supervision,the first step being using Bayesian model segmentation algorithm to divide driving data that inertial sensor collected into near-linear segments with the help of Bayesian model segmentation algorithm,and the second step being using extended LDA model to aggregate those linear segments into specific driving behavior (such as braking,turning,acceleration and coasting).Both offline and online experiments are conducted to verify this approach and it turns out that approach has higher efficiency and recognition accuracy when dealing with numerous driving data. |
| format | Article |
| id | doaj-art-7cd87c5542af4550b8a885a351d62448 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2018-03-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-7cd87c5542af4550b8a885a351d624482025-01-14T07:14:25ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2018-03-013910811759717067Driving behavior recognition and prediction based on Bayesian modelXinsheng WANGZhen BIANSince the existing intelligent driving systems are lack of efficiency and accuracy when processing huge number of driving data,a brand new approach of processing driving data was developed to identify and predicate human driving behavior based on Bayesian model.The approach was proposed to take two steps to deduce the specific driving behavior from driving data correspondingly without any supervision,the first step being using Bayesian model segmentation algorithm to divide driving data that inertial sensor collected into near-linear segments with the help of Bayesian model segmentation algorithm,and the second step being using extended LDA model to aggregate those linear segments into specific driving behavior (such as braking,turning,acceleration and coasting).Both offline and online experiments are conducted to verify this approach and it turns out that approach has higher efficiency and recognition accuracy when dealing with numerous driving data.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018043/driving dataBayesian modelinertial sensorlinear segmentation |
| spellingShingle | Xinsheng WANG Zhen BIAN Driving behavior recognition and prediction based on Bayesian model Tongxin xuebao driving data Bayesian model inertial sensor linear segmentation |
| title | Driving behavior recognition and prediction based on Bayesian model |
| title_full | Driving behavior recognition and prediction based on Bayesian model |
| title_fullStr | Driving behavior recognition and prediction based on Bayesian model |
| title_full_unstemmed | Driving behavior recognition and prediction based on Bayesian model |
| title_short | Driving behavior recognition and prediction based on Bayesian model |
| title_sort | driving behavior recognition and prediction based on bayesian model |
| topic | driving data Bayesian model inertial sensor linear segmentation |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018043/ |
| work_keys_str_mv | AT xinshengwang drivingbehaviorrecognitionandpredictionbasedonbayesianmodel AT zhenbian drivingbehaviorrecognitionandpredictionbasedonbayesianmodel |