지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2023.8
- 수록면
- 291 - 294 (4page)
이용수
초록· 키워드
오류제보하기
This project is mainly about autonomous AWS cars and their usage. As a result of this project, high school students will gain information about Artificial intelligence. This project covers as following:
1. Understanding Autonomous Driving Systems
2. Artificial technology and Reinforcement learning model practicing
2.1. What is artificial intelligence technology?
2.2. Deep racer (by AWS) practise-creating a model.
3. Principles of Artificial intelligence & participating in community races.
This is a basic study on the effects of reinforcement learning with Deep Racer of AWS. So after this study, to keep studying on actual research for comparing accuracy scores between Deep Racer of AWS and Actual Arduino based autonomous car.
1. Understanding Autonomous Driving Systems
2. Artificial technology and Reinforcement learning model practicing
2.1. What is artificial intelligence technology?
2.2. Deep racer (by AWS) practise-creating a model.
3. Principles of Artificial intelligence & participating in community races.
This is a basic study on the effects of reinforcement learning with Deep Racer of AWS. So after this study, to keep studying on actual research for comparing accuracy scores between Deep Racer of AWS and Actual Arduino based autonomous car.
목차
ABSTRACT
1. INTRODUCTION
2. Artificial technology and Reinforcement learning model practicing
3. Conclusion
References
참고문헌 (0)
참고문헌 신청이 논문의 저자 정보
이 논문과 함께 이용한 논문
Short-term Traffic Flow Prediction on human-driving and autonomous cars mixed circumstances with Deep learning
황윤태
,
최동구
,
박형준
외 1명
대한산업공학회 춘계공동학술대회 논문집
2023
.05
시나리오기반의 자율주행차 인테리어 디자인 방법 연구
왕명비
,
김진성
한국자동차공학회논문집
2023
.07
Deep Reinforcement Learning-based ROS-Controlled RC Car for Autonomous Path Exploration in the Unknown Environment
Sabi
,
Hossain
,
Oualid Doukhi
외 2명
제어로봇시스템학회 국제학술대회 논문집
2020
.10
최근 본 자료
댓글(0)
0