A 2D Mapping Method Based on Virtual Laser Scans for Indoor Robots

doi:10.1007/s11633-021-1304-1

CASIA OpenIR > 学术期刊 > Machine Intelligence Research

	A 2D Mapping Method Based on Virtual Laser Scans for Indoor Robots
	Xu-Yang Shao; Guo-Hui Tian; Ying Zhang
发表期刊	International Journal of Automation and Computing
ISSN	1476-8186
	2021
卷号	18 期号:5 页码:747-765
摘要	The indoor robots are expected to complete metric navigation tasks safely and efficiently in complex environments, which is the essential prerequisite for accomplishing other high-level operation tasks. 2D occupancy grid maps are sufficient to support the robots in avoiding all obstacles in the environments during navigation. However, the maps based on normal laser scans only reflect a horizontal slice of the environment, which may cause the problem of some obstacles missing or misinterpreting their exact boundaries, thereby threatening the safety and efficiency of robot navigation. This paper presents a 2D mapping method based on virtual laser scans to provide a more comprehensive representation of obstacles for indoor robot navigation. The resulting maps can accurately represent the top-down projected contours of all obstacles no matter where their vertical positions are. The virtual laser scans are initially generated from raw data of an RGB-D camera based on the filtering, projection, and polar-coordinate scanning. The scans are fed directly to the laser-based simultaneous localization and mapping (SLAM) algorithms to update the current map and robot position. Two auxiliary strategies are proposed to further improve the quality of maps by reducing the impact of the narrow field of view and the blind zone of the RGB-D camera on the observations. In this paper, the improved virtual laser generation method makes the extracted 2D observations fit the laser-based SLAM algorithms, and two auxiliary strategies are novel ways to improve map quality. The generated maps can reflect the comprehensive obstacle information in indoor environments with good accuracy. The comparative experiments are carried out based on four simulation scenarios and three real-world scenarios to prove the effectiveness of our 2D mapping method.
关键词	2D mapping indoor robots virtual laser mapping auxiliary strategies safe navigation
DOI	10.1007/s11633-021-1304-1
引用统计	被引频次：2[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/173211/45461
专题	学术期刊_Machine Intelligence Research
作者单位	School of Control Science and Engineering, Shandong University, Jinan 250061, China
推荐引用方式 GB/T 7714	Xu-Yang Shao,Guo-Hui Tian,Ying Zhang. A 2D Mapping Method Based on Virtual Laser Scans for Indoor Robots[J]. International Journal of Automation and Computing,2021,18(5):747-765.
APA	Xu-Yang Shao,Guo-Hui Tian,&Ying Zhang.(2021).A 2D Mapping Method Based on Virtual Laser Scans for Indoor Robots.International Journal of Automation and Computing,18(5),747-765.
MLA	Xu-Yang Shao,et al."A 2D Mapping Method Based on Virtual Laser Scans for Indoor Robots".International Journal of Automation and Computing 18.5(2021):747-765.

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IJAC-2020-10-287.pdf（2637KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览