A hierarchical graph matching based method for large distance rover localization

doi:10.1109/ICMA.2017.8015973

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 机器人理论与应用

	A hierarchical graph matching based method for large distance rover localization
	Yinlin Li1 ; Yuren Zhang2 ; Chuankai Liu 3; Xu Yang1 ; Hong Qiao1
	2017-08
会议名称	2017 IEEE International Conference on Mechatronics and Automation (ICMA)
会议日期	2017-8
会议地点	Takamatsu, Japan
摘要	Key point correspondence plays a critical role in large distance lunar rover localization and navigation, which can decrease accumulative errors and facilitate the rover to approach probing target accurately. Lunar surface images often contain similar patterns, noisy points and obvious illumination changes, especially along with large distance movement, overlapping regions of image pairs have large deformations and sorely different scales. Traditional appearance based matching methods fail in such conditions as local appearance features become less distinctive. In this paper, we proposed a novel hierarchical graph matching strategy to fully utilize structure property of key points. For vertexes in bigger scale, their neighborhood graphs in smaller scale are regarded as vertex labels and the differences of neighborhood graphs are regarded as differences of vertexes. Based on the new strategy, both global and local constraint are considered such that the dependency on local appearance is alleviated. Furthermore, an active key point detection method is proposed to serve the graph matching method for better performance. Finally, several experiments are conducted on lunar surface images collected by Chang’E-3 rover, which demonstrate the robustness and effectiveness of the proposed method.
关键词	Key Point Detection Key Point Correspondence Graph Matching Lunar Image
学科领域	模式识别与智能系统
DOI	10.1109/ICMA.2017.8015973
引用统计
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/21732
专题	多模态人工智能系统全国重点实验室_机器人理论与应用
通讯作者	Yinlin Li
作者单位	1.The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences 2.Meituan 3.Key Laboratory of Science and Technology on Aerospace Flight Dynamics Beijing Aerospace Control Center
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Yinlin Li,Yuren Zhang,Chuankai Liu,et al. A hierarchical graph matching based method for large distance rover localization[C],2017.

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