Driver Intention Recognition Method Using Continuous Hidden Markov Model
In order to make Intelligent Transportation System (ITS) work effectively, a driver intention recognition method is proposed. In this research, three different recognition models were developed based on Continuous Hidden Markov Model (CHMM), and could distinguish left and right lane change intention...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2011-05-01
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| Series: | International Journal of Computational Intelligence Systems |
| Online Access: | https://www.atlantis-press.com/article/2157.pdf |
| _version_ | 1828833182118576128 |
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| author | Haijing Hou Lisheng Jin Qingning Niu Yuqin Sun Meng Lu |
| author_facet | Haijing Hou Lisheng Jin Qingning Niu Yuqin Sun Meng Lu |
| author_sort | Haijing Hou |
| collection | DOAJ |
| description | In order to make Intelligent Transportation System (ITS) work effectively, a driver intention recognition method is proposed. In this research, three different recognition models were developed based on Continuous Hidden Markov Model (CHMM), and could distinguish left and right lane change intention from normal lane keeping intention. Subjects performed lane change maneuvers and lane keeping maneuvers with driving simulator which simulated highway scenes, parameters that highly correlated with lane change behavior were collected and analyzed. A series of testings and comparisons were done to obtain the optimal model structure and feature set. Results show that, taking the steering wheel angel, steering wheel angle velocity and lateral acceleration as the optimal observation signals, the accuracy can achieve up 95%, and it proved very effective in terms of early intention recognition. |
| first_indexed | 2024-12-12T17:13:11Z |
| format | Article |
| id | doaj.art-177a370720c34ebea25ea71e0016e1f2 |
| institution | Directory Open Access Journal |
| issn | 1875-6883 |
| language | English |
| last_indexed | 2024-12-12T17:13:11Z |
| publishDate | 2011-05-01 |
| publisher | Springer |
| record_format | Article |
| series | International Journal of Computational Intelligence Systems |
| spelling | doaj.art-177a370720c34ebea25ea71e0016e1f22022-12-22T00:17:51ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832011-05-014310.2991/ijcis.2011.4.3.13Driver Intention Recognition Method Using Continuous Hidden Markov ModelHaijing HouLisheng JinQingning NiuYuqin SunMeng LuIn order to make Intelligent Transportation System (ITS) work effectively, a driver intention recognition method is proposed. In this research, three different recognition models were developed based on Continuous Hidden Markov Model (CHMM), and could distinguish left and right lane change intention from normal lane keeping intention. Subjects performed lane change maneuvers and lane keeping maneuvers with driving simulator which simulated highway scenes, parameters that highly correlated with lane change behavior were collected and analyzed. A series of testings and comparisons were done to obtain the optimal model structure and feature set. Results show that, taking the steering wheel angel, steering wheel angle velocity and lateral acceleration as the optimal observation signals, the accuracy can achieve up 95%, and it proved very effective in terms of early intention recognition.https://www.atlantis-press.com/article/2157.pdf |
| spellingShingle | Haijing Hou Lisheng Jin Qingning Niu Yuqin Sun Meng Lu Driver Intention Recognition Method Using Continuous Hidden Markov Model International Journal of Computational Intelligence Systems |
| title | Driver Intention Recognition Method Using Continuous Hidden Markov Model |
| title_full | Driver Intention Recognition Method Using Continuous Hidden Markov Model |
| title_fullStr | Driver Intention Recognition Method Using Continuous Hidden Markov Model |
| title_full_unstemmed | Driver Intention Recognition Method Using Continuous Hidden Markov Model |
| title_short | Driver Intention Recognition Method Using Continuous Hidden Markov Model |
| title_sort | driver intention recognition method using continuous hidden markov model |
| url | https://www.atlantis-press.com/article/2157.pdf |
| work_keys_str_mv | AT haijinghou driverintentionrecognitionmethodusingcontinuoushiddenmarkovmodel AT lishengjin driverintentionrecognitionmethodusingcontinuoushiddenmarkovmodel AT qingningniu driverintentionrecognitionmethodusingcontinuoushiddenmarkovmodel AT yuqinsun driverintentionrecognitionmethodusingcontinuoushiddenmarkovmodel AT menglu driverintentionrecognitionmethodusingcontinuoushiddenmarkovmodel |