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.
목차
ABSTRACT 1. 서론 2. 하드웨어 플랫폼 제작과 검증 2.1 Hardware actuator for Autonomous Driving 2.2 DBW Approch 2.3 Controller of hardware platforms 2.4 Creation of a hardware platform 3. Verification test 3.1 Implement the Lane_detection & object_detection driving function 4. 결론 References
키워드
자율주행DBW원시자료Autonomous drivingDrive-By-WireRaw data
저자
윤재곤 [ Jae-Gon Yun | Member, Professor, Dept. of Automobile, Seoyeong University ]
Corresponding Author