Abstract
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.
Highlights
The arrival of the fourth industrial revolution does not eliminate the core technologies that arose and were developed from the first industrial revolution through the third industrial revolution or its older technology, but this period can be considered an era of new convergence technology through coexistence and fusion with existing core technologies [1]
In the method proposed in this paper, recognized object data are processed using a proposed gesture recognition algorithm based on multiple sensors
Unexpected situations occurring in the blind spots of an MEV can be recognized by the occupants through the object recognition processes of multiple sensors
Summary
The arrival of the fourth industrial revolution does not eliminate the core technologies that arose and were developed from the first industrial revolution through the third industrial revolution or its older technology, but this period can be considered an era of new convergence technology through coexistence and fusion with existing core technologies [1]. MEVs have a serious problem with blind spots, which are smaller in size and have fewer specification resources gence technology through the convergence of automobiles and various sensors (e.g., cameras and LIDAR) that became universalized between the first industrial revolution and the third industrial revolution [6]. The proposed data-logging tended gesture recognition algorithm for various objects recognized by multiplemethod sensors. Logging system that compiles reference data for autonomous driving by logging data from an extended gesture recognition algorithm and multiple sensors in an IoT environment to improve the reliability of autonomous driving. In this paper, we propose a logging system that compiles reference data for autonomous driving by logging data from an extended gesture recognition algorithm and multiple sensors in an IoT environment to improve the reliability of autonomous driving
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