인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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
- 학술저널
- 저자정보
- 발행연도
- 2026.6
- 수록면
- 753 - 759 (7page)
- DOI
- 10.5302/J.ICROS.2026.26.0042
이용수
초록· 키워드
Global navigation satellite systems (GNSS) are core navigation technologies using multiple satellite constellations. However, positioning performance varies depending on the internal estimation algorithms and configuration settings of GNSS receivers, resulting in discrepancies in positioning accuracy even in identical environments. Standardized procedures have not been fully established for consistent evaluation of quantitative GNSS accuracy under dynamic driving conditions, and human-induced operational errors further amplify positioning errors. To address these limitations, this study proposes a position-correction algorithm that utilizes constellation-specific position estimates and real-time error information. The corrected position is determined by assigning weights based on the error covariance outputs provided for each constellation by the GNSS receiver. The performance of the proposed algorithm is validated through real-world driving experiments using an autonomous vehicle platform. Experimental results demonstrate a reduction in position variability even in environments with discontinuous signal conditions. Furthermore, inter-constellation error discrepancies remain stable, and outliers are effectively detected and removed, confirming the robustness and reliability of the proposed approach. The proposed method achieves up to a 56% improvement in positioning accuracy in terms of CEP50, demonstrating its effectiveness for reliable GNSS positioning in dynamic environments.
#position correction
#global navigation satellite system
#weighted least squares method
#autonomous driving system
상세정보 수정요청해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
목차
- Abstract
- I. 서론
- II. 가중최소제곱법
- III. GNSS 메시지 기반 오차 공분산 추정
- IV. 시스템 구성
- V. 위성군별 데이터 취득 실험
- VI. 실시간 오차 기반 보정 알고리즘 적용
- VII. 결론
- REFERENCES
참고문헌
참고문헌 신청최근 본 자료
