Realization of Internet of vehicles technology integrated into an augmented reality system
The goal of this study is to develop an internet of vehicles system with augmented reality technology. The system deals mainly with three subjects, namely, lane departure warning, forward collision detection and warning, and internet of vehicles. First, to deal with the subject of lane departure war...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2020-09-01
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| Series: | Journal of Low Frequency Noise, Vibration and Active Control |
| Online Access: | https://doi.org/10.1177/1461348419835054 |
| _version_ | 1818068384978305024 |
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| author | Neng-Sheng Pai Pi-Yun Chen Shih-An Chen Shi-Xiang Chen |
| author_facet | Neng-Sheng Pai Pi-Yun Chen Shih-An Chen Shi-Xiang Chen |
| author_sort | Neng-Sheng Pai |
| collection | DOAJ |
| description | The goal of this study is to develop an internet of vehicles system with augmented reality technology. The system deals mainly with three subjects, namely, lane departure warning, forward collision detection and warning, and internet of vehicles. First, to deal with the subject of lane departure warning, the Hough transform is used in this study to extract the possible positions of lane lines from the region of interest of an image. The Kalman filter is further employed to remove noises and estimate the actual positions of car lane lines. The lane departure decision is then used to determine whether a lane departure situation occurs. Second, the Sobel edge detector and taillight detection method are used to locate the hypothetical region of the vehicle. The characteristic parameters within the hypothetical region can also be obtained through the Harris corner detection method. To verify the hypothetical region and identify the vehicle, the support vector machine algorithm is used. The collision decision is then applied to determine whether the distance between two vehicles is short, thus fulfilling the goal of forward collision detection and warning. In addition, a secure and easy-to-use internet of vehicles is achieved with the use of the Rivest–Shamir–Adleman encryption algorithm, which uses public and secret keys to encrypt and decrypt messages to achieve the task of user identification. Upon obtaining control of the vehicle, the driver has full access to the most up-to-date information provided by the driver assistance system. Finally, internet of vehicles applications incorporating the previously mentioned methods, smart glasses, and augmented reality are implemented in this study. Smart glasses provide the drivers easy access to information about the vehicle and warnings, which helps enhance driver convenience and safety considerably. |
| first_indexed | 2024-12-10T15:38:44Z |
| format | Article |
| id | doaj.art-350c30a9331b4ad79404d8cc93321899 |
| institution | Directory Open Access Journal |
| issn | 1461-3484 2048-4046 |
| language | English |
| last_indexed | 2024-12-10T15:38:44Z |
| publishDate | 2020-09-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Journal of Low Frequency Noise, Vibration and Active Control |
| spelling | doaj.art-350c30a9331b4ad79404d8cc933218992022-12-22T01:43:10ZengSAGE PublishingJournal of Low Frequency Noise, Vibration and Active Control1461-34842048-40462020-09-013910.1177/1461348419835054Realization of Internet of vehicles technology integrated into an augmented reality systemNeng-Sheng PaiPi-Yun ChenShih-An ChenShi-Xiang ChenThe goal of this study is to develop an internet of vehicles system with augmented reality technology. The system deals mainly with three subjects, namely, lane departure warning, forward collision detection and warning, and internet of vehicles. First, to deal with the subject of lane departure warning, the Hough transform is used in this study to extract the possible positions of lane lines from the region of interest of an image. The Kalman filter is further employed to remove noises and estimate the actual positions of car lane lines. The lane departure decision is then used to determine whether a lane departure situation occurs. Second, the Sobel edge detector and taillight detection method are used to locate the hypothetical region of the vehicle. The characteristic parameters within the hypothetical region can also be obtained through the Harris corner detection method. To verify the hypothetical region and identify the vehicle, the support vector machine algorithm is used. The collision decision is then applied to determine whether the distance between two vehicles is short, thus fulfilling the goal of forward collision detection and warning. In addition, a secure and easy-to-use internet of vehicles is achieved with the use of the Rivest–Shamir–Adleman encryption algorithm, which uses public and secret keys to encrypt and decrypt messages to achieve the task of user identification. Upon obtaining control of the vehicle, the driver has full access to the most up-to-date information provided by the driver assistance system. Finally, internet of vehicles applications incorporating the previously mentioned methods, smart glasses, and augmented reality are implemented in this study. Smart glasses provide the drivers easy access to information about the vehicle and warnings, which helps enhance driver convenience and safety considerably.https://doi.org/10.1177/1461348419835054 |
| spellingShingle | Neng-Sheng Pai Pi-Yun Chen Shih-An Chen Shi-Xiang Chen Realization of Internet of vehicles technology integrated into an augmented reality system Journal of Low Frequency Noise, Vibration and Active Control |
| title | Realization of Internet of vehicles technology integrated into an augmented reality system |
| title_full | Realization of Internet of vehicles technology integrated into an augmented reality system |
| title_fullStr | Realization of Internet of vehicles technology integrated into an augmented reality system |
| title_full_unstemmed | Realization of Internet of vehicles technology integrated into an augmented reality system |
| title_short | Realization of Internet of vehicles technology integrated into an augmented reality system |
| title_sort | realization of internet of vehicles technology integrated into an augmented reality system |
| url | https://doi.org/10.1177/1461348419835054 |
| work_keys_str_mv | AT nengshengpai realizationofinternetofvehiclestechnologyintegratedintoanaugmentedrealitysystem AT piyunchen realizationofinternetofvehiclestechnologyintegratedintoanaugmentedrealitysystem AT shihanchen realizationofinternetofvehiclestechnologyintegratedintoanaugmentedrealitysystem AT shixiangchen realizationofinternetofvehiclestechnologyintegratedintoanaugmentedrealitysystem |