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
- 2014.10
- 수록면
- 652 - 655 (4page)
이용수
초록· 키워드
오류제보하기
For the successful navigation of an unmanned vehicle, it is important to determine the traversable area reliably. Traditional occupancy grid mapping calculates the presence of obstacle probabilistically, however cannot provide meaningful information on traversability of the given area. In this paper, we address problem of building a traversability map for unmanned ground vehicle. Map building consists of two main parts; first part is the fusion of terrain recognition map and terrain model map. Second part is sequential update of the traversablity map. Maps are built from each sensors separately and fusion takes place to combine the maps. The resulting map is added to the existing map for update. The algorithm is implemented to an unmanned ground vehicle for field-test. Experiments are conducted under different conditions to evaluate the robustness of the algorithm.
목차
Abstract
1. INTRODUCTION
2. OVERVIEW OF PROPOSED APPROACH
3. PROBABILISTIC TRAVERSABILITY MAP REPRESENTATION
4. EXPERIMENTAL RESULTS
5. CONCLUSION
REFERENCES
참고문헌 (0)
참고문헌 신청이 논문의 저자 정보
최근 본 자료
댓글(0)
0