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
- 2012.2
- 수록면
- 18 - 27 (10page)
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초록· 키워드
오류제보하기
Map-building and localization for robots are the most basic technology required to create autonomous mobile robots. Unfortunately, they are difficult problems to comprehensively handle. If expensive sensors or a variety of external devices are used, then the problems can be resolved. However, there are still limits for various environments or platforms. Therefore, many researchers have proposed various different methods over a long period of time, and continue to do so today. In this paper, we first look at the state of existing research for map representations used in map-building and localization. We divide them into four main categories and compare the differences between them. These identified properties between the four categories can be used as good standards for choosing appropriate sensors or mathematical models when creating map-building and localization applications for robots.
목차
Abstract
Introduction
Map Representation
Conclusions
References
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UCI(KEPA) : I410-ECN-0101-2015-500-002466019