FSD-SLAM: a fast semi-direct SLAM algorithm

doi:10.1007/s40747-021-00323-y

	FSD-SLAM: a fast semi-direct SLAM algorithm
	Dong, Xiang 1; Cheng, Long2,3 ; Peng, Hu 1; Li, Teng 1
发表期刊	COMPLEX & INTELLIGENT SYSTEMS
ISSN	2199-4536
	2021-03-15
页码	12
通讯作者	Cheng, Long(long.cheng@ia.ac.cn) ; Li, Teng(liteng@ahu.edu.cn)
摘要	Current visual-based simultaneous localization and mapping(SLAM) system suffers from feature loss caused by fast motion and unstructured scene in complex environments. Addressing this problem, a fast semi-direct SLAM algorithm is proposed in this paper. The main idea of this method is to combine the feature point method with the direct method in order to improve the robustness of the system in the environment of scarce visual features and low texture. First, the feature enhancement module based on subgraph is developed to extract image feature points more stably. Second, an apparent shape weighted fusion method is proposed for camera pose estimation, which can still work robustly in the absence of feature points. Third, an incremental dynamic covariance scaling algorithm is studied for optimizing the error of camera pose estimation. Finally, based on the optimized camera pose, a face element model is designed to estimate and fuse the point cloud pose, and obtain an ideal three-dimensional point cloud map. The proposed algorithm has been tested extensively on the benchmark TUM dataset and the real environment. The results show that the algorithm has better performance than existing visual based SLAM algorithms.
关键词	SLAM Feature enhancement Pose estimation Incremental dynamic covariance scaling Point cloud integration
DOI	10.1007/s40747-021-00323-y
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Project Intelligent Robot Special Program[2018YFB1305804] ; National Natural Science Foundation of China[62025307] ; National Natural Science Foundation of China[61873268] ; National Natural Science Foundation of China[U1913209] ; Beijing Natural Science Foundation[JQ19020] ; Anhui University Cooperative Innovation Project[GXXT-2019-003]
项目资助者	National Key Research and Development Project Intelligent Robot Special Program ; National Natural Science Foundation of China ; Beijing Natural Science Foundation ; Anhui University Cooperative Innovation Project
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000629072000001
出版者	SPRINGER HEIDELBERG
七大方向——子方向分类	机器人感知与决策
引用统计	被引频次：9[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/44010
专题	复杂系统认知与决策实验室_先进机器人
通讯作者	Cheng, Long; Li, Teng
作者单位	1.Anhui Univ, Sch Elect Engn & Automat, Hefei 230601, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Iaboratory Management & Control Complex, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
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	Dong, Xiang,Cheng, Long,Peng, Hu,et al. FSD-SLAM: a fast semi-direct SLAM algorithm[J]. COMPLEX & INTELLIGENT SYSTEMS,2021:12.
APA	Dong, Xiang,Cheng, Long,Peng, Hu,&Li, Teng.(2021).FSD-SLAM: a fast semi-direct SLAM algorithm.COMPLEX & INTELLIGENT SYSTEMS,12.
MLA	Dong, Xiang,et al."FSD-SLAM: a fast semi-direct SLAM algorithm".COMPLEX & INTELLIGENT SYSTEMS (2021):12.