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
- 2011.10
- 수록면
- 1,175 - 1,178 (4page)
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초록· 키워드
오류제보하기
This research proposes a novel approach to outdoor simultaneous localization and mapping (SLAM) based on local 3-D map matching. An iterative closest point (ICP) algorithm is used to match local 3-D maps and estimate a robot pose, but an alignment error is generated by the ICP algorithm due to the false selection of corresponding points. This paper proposes a new method to extract 3-D points that are valid for ICP matching. Rotation invariant descriptors are introduced for robust correspondence. 3-D environmental data acquired by tilting a 2-D laser scanner are used to build local 3-D maps. Experimental results in real environments show the increased accuracy of the ICP-based matching and a reduction in matching time.
목차
Abstract
1. INTRODUCTION
2. 3-D MAPPING
3. SALIENT REGIONS FOR 3-D MATCHING AND DESCRIPTORS
4. ROTATION INVARIANT DESCRIPTORS
5. CONCLUSIONS
ACKNOWLEDGEMENT
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2014-569-000914415