교육용 자율주행 하드웨어 플랫폼 제작에 관한 연구
A Study on the Production of Autonomous Driving Hardware Platform for Education
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Level 3 driving, which enters full-fledged autonomous driving, is becoming more common. And research on autonomous driving is growing rapidly. Therefore, there is a need for a hardware platform to implement autonomous driving, but the actual vehicle price is too high and the implementation conditions are very limited, so its usability is inevitably reduced. In this study, by providing an easy-to-access hardware platform for anyone to support autonomous driving research, compatibility with software platforms can be increased. As a result of this study, it is possible to conduct hardware platform and software platform education at the same time. Through this, trial and error due to errors in each of the two platforms can be reduced. In addition, various sensors, such as camera sensors and LiDAR sensors, were installed on the hardware platform, and a hardware platform capable of testing autonomous driving for education and R&D was conducted not only outdoors but also indoors with little external environmental impact.
Abstract
Level 3 driving, which enters full-fledged autonomous driving, is becoming more common. And research on autonomous driving is growing rapidly. Therefore, there is a need for a hardware platform to implement autonomous driving, but the actual vehicle price is too high and the implementation conditions are very limited, so its usability is inevitably reduced. In this study, by providing an easy-to-access hardware platform for anyone to support autonomous driving research, compatibility with software platforms can be increased. As a result of this study, it is possible to conduct hardware platform and software platform education at the same time. Through this, trial and error due to errors in each of the two platforms can be reduced. In addition, various sensors, such as camera sensors and LiDAR sensors, were installed on the hardware platform, and a hardware platform capable of testing autonomous driving for education and R&D was conducted not only outdoors but also indoors with little external environmental impact.
참고문헌 (6)
- Park, J. H, "Multi-Lans Recognition using the YOLO Network", Korean Society of Mechanical Technology, 24(3), pp.402~ (2022)
- Driving to Safety, "Nidhi Kalra", RAND Corporation, ~, pp.RR-1478-RC (2016)
- Shaoshan Liu, "Creating Autonomous Vehicle Systems", pp.25~37 (2020), eBook
- A. Soriano, "Low Cost Platform for Automatic Control Education Based on Open Hardware", Proceedings of the 19th World Congress The International Federation of Automatic Control Cape Town (2014)
- Nikhil Ollukaren, "LOW-COST PLATFORM FOR AUTONOMOUS GROUND VEHICLE RESEARCH", Proceedings of the Fourteenth Annual Early Career Technical Conference The University of Alabama, Birmingham ECTC 2014 (2014)
- "ROS"[URL]