A Novel Vehicle Stationary Detection Utilizing Map Matching and IMU Sensors
Precise navigation is a vital need for many modern vehicular applications. The global positioning system (GPS) cannot provide continuous navigation information in urban areas. The widely used inertial navigation system (INS) can provide full vehicle state at high rates. However, the accuracy diverge...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/597180 |
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| author | Md. Syedul Amin Mamun Bin Ibne Reaz Salwa Sheikh Nasir Mohammad Arif Sobhan Bhuiyan Mohd. Alauddin Mohd. Ali |
| author_facet | Md. Syedul Amin Mamun Bin Ibne Reaz Salwa Sheikh Nasir Mohammad Arif Sobhan Bhuiyan Mohd. Alauddin Mohd. Ali |
| author_sort | Md. Syedul Amin |
| collection | DOAJ |
| description | Precise navigation is a vital need for many modern vehicular applications. The global positioning system (GPS) cannot provide continuous navigation information in urban areas. The widely used inertial navigation system (INS) can provide full vehicle state at high rates. However, the accuracy diverges quickly in low cost microelectromechanical systems (MEMS) based INS due to bias, drift, noise, and other errors. These errors can be corrected in a stationary state. But detecting stationary state is a challenging task. A novel stationary state detection technique from the variation of acceleration, heading, and pitch and roll of an attitude heading reference system (AHRS) built from the inertial measurement unit (IMU) sensors is proposed. Besides, the map matching (MM) algorithm detects the intersections where the vehicle is likely to stop. Combining these two results, the stationary state is detected with a smaller timing window of 3 s. A longer timing window of 5 s is used when the stationary state is detected only from the AHRS. The experimental results show that the stationary state is correctly identified and the position error is reduced to 90% and outperforms previously reported work. The proposed algorithm would help to reduce INS errors and enhance the performance of the navigation system. |
| format | Article |
| id | doaj-art-5bc28cf956344ac99daf5e49a2b7370b |
| institution | OA Journals |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-5bc28cf956344ac99daf5e49a2b7370b2025-08-20T02:05:13ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/597180597180A Novel Vehicle Stationary Detection Utilizing Map Matching and IMU SensorsMd. Syedul Amin0Mamun Bin Ibne Reaz1Salwa Sheikh Nasir2Mohammad Arif Sobhan Bhuiyan3Mohd. Alauddin Mohd. Ali4Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor, MalaysiaDepartment of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor, MalaysiaDepartment of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor, MalaysiaDepartment of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor, MalaysiaDepartment of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor, MalaysiaPrecise navigation is a vital need for many modern vehicular applications. The global positioning system (GPS) cannot provide continuous navigation information in urban areas. The widely used inertial navigation system (INS) can provide full vehicle state at high rates. However, the accuracy diverges quickly in low cost microelectromechanical systems (MEMS) based INS due to bias, drift, noise, and other errors. These errors can be corrected in a stationary state. But detecting stationary state is a challenging task. A novel stationary state detection technique from the variation of acceleration, heading, and pitch and roll of an attitude heading reference system (AHRS) built from the inertial measurement unit (IMU) sensors is proposed. Besides, the map matching (MM) algorithm detects the intersections where the vehicle is likely to stop. Combining these two results, the stationary state is detected with a smaller timing window of 3 s. A longer timing window of 5 s is used when the stationary state is detected only from the AHRS. The experimental results show that the stationary state is correctly identified and the position error is reduced to 90% and outperforms previously reported work. The proposed algorithm would help to reduce INS errors and enhance the performance of the navigation system.http://dx.doi.org/10.1155/2014/597180 |
| spellingShingle | Md. Syedul Amin Mamun Bin Ibne Reaz Salwa Sheikh Nasir Mohammad Arif Sobhan Bhuiyan Mohd. Alauddin Mohd. Ali A Novel Vehicle Stationary Detection Utilizing Map Matching and IMU Sensors The Scientific World Journal |
| title | A Novel Vehicle Stationary Detection Utilizing Map Matching and IMU Sensors |
| title_full | A Novel Vehicle Stationary Detection Utilizing Map Matching and IMU Sensors |
| title_fullStr | A Novel Vehicle Stationary Detection Utilizing Map Matching and IMU Sensors |
| title_full_unstemmed | A Novel Vehicle Stationary Detection Utilizing Map Matching and IMU Sensors |
| title_short | A Novel Vehicle Stationary Detection Utilizing Map Matching and IMU Sensors |
| title_sort | novel vehicle stationary detection utilizing map matching and imu sensors |
| url | http://dx.doi.org/10.1155/2014/597180 |
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