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无人飞行器三维类脑SLAM自主导航方法
作者姓名:晁丽君  熊 智  杨 闯  华 冰  王雅婷  刘建业
作者单位:南京航空航天大学自动化学院;南京航空航天大学航天学院
基金项目:国家自然科学基金项目(61873125,61673208, 61703208,61533008,61533009);江苏省自然科学基金项目(BK20181291,BK20170815, BK20170767);上海航天科技创新基金项目资助(SAST2019-085);中央高校基本科研业务费专项资金资助(NP2018108,NZ2019007);国防科技创新特区项目支持;装备预研项目(30102080101);江苏高校优势学科建设工程资助项目;先进飞行器导航、控制与健康管理工业和信息化部重点实验室(南京航空航天大学)和江苏省“物联网与控制技术”重点实验室资助;高等学校学科创新引智计划资助(B20007)
摘    要:随着动物大脑中导航细胞的发现以及人工智能的快速发展,受动物启发的类脑SLAM自主导航方法为突破现有导航方式的瓶颈提供了新的思路。本文针对无人飞行器类脑SLAM自主导航技术的研究进展进行了综述, 包括:1)论述无人飞行器SLAM技术研究现状;2)在二维SLAM导航技术的基础上介绍了三维空间以及单一环境下的类脑SLAM自主导航方案;3)分析了二维及三维类脑SLAM自主导航方案的关键技术;4)最后对现有三维导航方案进行分析验证并指出目前类脑SLAM在无人飞行器上应用时亟需解决的问题。类脑SLAM技术不依赖于高精度传感器、对环境适应性强、自主智能性高,更加适用于无人飞行器复杂动态的飞行环境。

关 键 词:类脑SLAM  环境感知  位姿建模  经验地图  导航与定位

Autonomous Navigation Method of Three-Dimension Brain-Like SLAM for the UAV
Authors:CHAO Lijun  XIONG Zhi  YANG Chuang  HUA Bing  WANG Yating  LIU Jianye
Institution:College of Automation Engineering, Nanjing University of Aeronautics and Astronautics,;Academy of Astronautics, Nanjing University of Aeronautics and Astronautics
Abstract:With the discovery of navigation cells in animal brain and the rapid development of artificial intelligence, brain-like SLAM autonomous navigation method inspired by animals provides a new idea to break through the bottleneck of existing navigation methods. This paper reviews the research progress of brain-like SLAM autonomous navigation technology for the UAV, concluding: 1) discussing the research status of SLAM technology for the UAV; 2) introducing brain-like SLAM autonomous navigation scheme in the 3D space and single environment on the basis of the 2D SLAM navigation technology; 3) analyzing the key technologies of 2D and 3D brain-like SLAM autonomous navigation scheme; 4) finally analyzing and verifying the existing 3D navigation schemes, and pointing out the problems need to be solved in the brain-like SLAM application of the UAV. Brain-like SLAM does not rely on high-precision sensors, has strong adaptability to the environment and high autonomous intelligence, and is more suitable for the complex and dynamic flight environment of UAV.
Keywords:brain-like SLAM  environment perception  pose modeling  experience map  navigation and location
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