由于edgeslam的环境目前无法搜到环境安装配置的教程和记录,因此在这里只能一点点摸索踩坑。 为了保证软件版本直接不具有冲突,本文完全按照github源代码中介绍的按照环境版本。 系统版本:Ubuntu18.04LTS 操作平台:ros-melodic 所有的环境包的源码均打包在了:云盘地址。 链接:https://pan.baidu.com/s/1FxtpSWrAxbvE6OF...
Edge-SLAM is an edge-assisted visual simultaneous localization and mapping. Edge-SLAM adapts Visual-SLAM into edge computing architecture to enable long operation of Visual-SLAM on mobile devices. This is achieved by offloading the computation-intensive modules to the edge. Thus, Edge-SLAM reduces ...
边缘同步定位:边缘辅助视觉同步定位和建图 Edge-SLAM - Edge-Assisted Visual Simultaneous Localization And Mapping 原本翻译:机翻+人工校对,可能有不准之处。 摘要: 城市环境中的定位正变得越来越重要,并被用于ARCore[11]、ARKit[27]等工具。实现精确的室内定位和空间地图的一种流行机制是使用视觉同步定位和建图(...
In this chapter, we aim to exhibit the system architecture of edge-assisted mobile visual SLAM鈥攖hat is, how visual SLAM can be accelerated with edge computing. Location services, critical for a myriad of applications, have garnered extensive attention from both the academic sphere and the ...
《Plane-Edge-SLAM: Seamless Fusion of Planes and Edges for SLAM in Indoor Environments》(TASE-2020 ) Motivation 平面特征和边特征在室内场景里是非常有用的特征,但是目前想要无缝融合这两个特征仍然是一个挑战(关于无缝融合的定义,读完论文,我认为作者想要表达的是一个实时权重调整的特性,论文的特征主体是面特...
ORB-SLAM2 is released under a GPLv3 license. For a list of all code/library dependencies (and associated licenses), please see Dependencies.md. For a closed-source version of ORB-SLAM2 for commercial purposes, please contact the authors: orbslam (at) unizar (dot) es. If you use ORB-SL...
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The Edge-based Multi-agent visual SLAM plays a key role in emerging mobile applications such as search-and-rescue, inventory automation, and drone grouping. This algorithm relies on a central node to maintain the global map and schedule agents to execute their individual tasks...
Edge-assisted visual SLAM plays a crucial role in enabling innovative mobile applications, such as autonomous swarm inspection, search-and-rescue, and smart logistics. Constrained by the computational capacities of lightweight mobile devices, current approaches delegate lightweight, time-sensitive tracking...
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