Multi-Sensor-Based Blind-Spot Reduction Technology and a Data-Logging Method Using a Gesture Recognition Algorithm Based on Micro E-Mobility in an IoT Environment
Autonomous driving is evolving through the convergence of object recognition using multiple sensors in the fourth industrial revolution. In this paper, we propose a system that utilizes data logging to control the functions of micro e-mobility vehicles (MEVs) and to build a database for autonomous d...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/3/1081 |
| _version_ | 1797484691686686720 |
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| author | Hyoduck Seo Hyeonbo Kim Kyesan Lee Kyujin Lee |
| author_facet | Hyoduck Seo Hyeonbo Kim Kyesan Lee Kyujin Lee |
| author_sort | Hyoduck Seo |
| collection | DOAJ |
| description | Autonomous driving is evolving through the convergence of object recognition using multiple sensors in the fourth industrial revolution. In this paper, we propose a system that utilizes data logging to control the functions of micro e-mobility vehicles (MEVs) and to build a database for autonomous driving with a gesture recognition algorithm for use in an IoT environment. The proposed system uses multiple sensors installed in an MEV to log driving data as the vehicle operates and to recognize objects surrounding the MEV to remove blind spots. In addition, the proposed system is capable of multi-sensor control and data logging for the MEV based on a gesture recognition algorithm, and it can provide safety information to allow the system to address blind spots or unexpected situations by recognizing the appearances or gestures of pedestrians around the MEV. The proposed system can be applied and extended in various fields, such as 5G communication, autonomous driving, and AI, which are the core technologies of the fourth industrial revolution. |
| first_indexed | 2024-03-09T23:08:02Z |
| format | Article |
| id | doaj.art-95ae1c2eadb843cf91812fd7addcd393 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T23:08:02Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-95ae1c2eadb843cf91812fd7addcd3932023-11-23T17:50:11ZengMDPI AGSensors1424-82202022-01-01223108110.3390/s22031081Multi-Sensor-Based Blind-Spot Reduction Technology and a Data-Logging Method Using a Gesture Recognition Algorithm Based on Micro E-Mobility in an IoT EnvironmentHyoduck Seo0Hyeonbo Kim1Kyesan Lee2Kyujin Lee3College of Electronics & Information, Kyunghee University, 1732 Deogyeong-daero, Giheung-gu, Yongin-si 17104, Gyeonggi-do, KoreaVehicle Research Team, Gyeongbuk Institute of IT Convergence Industry Technology, 1, Gongdan 9-ro 12-gil, Jillyang-eup, Gyeongsan-si 38463, Gyeongsangbuk-do, KoreaCollege of Electronics & Information, Kyunghee University, 1732 Deogyeong-daero, Giheung-gu, Yongin-si 17104, Gyeonggi-do, KoreaDepartment of Electronic Engineering, Semyung University, 65 Semyung-ro, Jecheon-si 27136, Chungcheongbuk-do, KoreaAutonomous driving is evolving through the convergence of object recognition using multiple sensors in the fourth industrial revolution. In this paper, we propose a system that utilizes data logging to control the functions of micro e-mobility vehicles (MEVs) and to build a database for autonomous driving with a gesture recognition algorithm for use in an IoT environment. The proposed system uses multiple sensors installed in an MEV to log driving data as the vehicle operates and to recognize objects surrounding the MEV to remove blind spots. In addition, the proposed system is capable of multi-sensor control and data logging for the MEV based on a gesture recognition algorithm, and it can provide safety information to allow the system to address blind spots or unexpected situations by recognizing the appearances or gestures of pedestrians around the MEV. The proposed system can be applied and extended in various fields, such as 5G communication, autonomous driving, and AI, which are the core technologies of the fourth industrial revolution.https://www.mdpi.com/1424-8220/22/3/1081micro e-mobility vehicle (MEV)gesture recognition algorithmblind spotdata logging |
| spellingShingle | Hyoduck Seo Hyeonbo Kim Kyesan Lee Kyujin Lee Multi-Sensor-Based Blind-Spot Reduction Technology and a Data-Logging Method Using a Gesture Recognition Algorithm Based on Micro E-Mobility in an IoT Environment Sensors micro e-mobility vehicle (MEV) gesture recognition algorithm blind spot data logging |
| title | Multi-Sensor-Based Blind-Spot Reduction Technology and a Data-Logging Method Using a Gesture Recognition Algorithm Based on Micro E-Mobility in an IoT Environment |
| title_full | Multi-Sensor-Based Blind-Spot Reduction Technology and a Data-Logging Method Using a Gesture Recognition Algorithm Based on Micro E-Mobility in an IoT Environment |
| title_fullStr | Multi-Sensor-Based Blind-Spot Reduction Technology and a Data-Logging Method Using a Gesture Recognition Algorithm Based on Micro E-Mobility in an IoT Environment |
| title_full_unstemmed | Multi-Sensor-Based Blind-Spot Reduction Technology and a Data-Logging Method Using a Gesture Recognition Algorithm Based on Micro E-Mobility in an IoT Environment |
| title_short | Multi-Sensor-Based Blind-Spot Reduction Technology and a Data-Logging Method Using a Gesture Recognition Algorithm Based on Micro E-Mobility in an IoT Environment |
| title_sort | multi sensor based blind spot reduction technology and a data logging method using a gesture recognition algorithm based on micro e mobility in an iot environment |
| topic | micro e-mobility vehicle (MEV) gesture recognition algorithm blind spot data logging |
| url | https://www.mdpi.com/1424-8220/22/3/1081 |
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