In recent years, reconstructing a sparse map from a simultaneous localization and mapping(SLAM) system on a conventional CPU has undergone remarkable progress. However,obtaining a dense map from the system often requires a highperformance GPU to accelerate computation. This paper proposes a dense ...
Dense mapping for monocular-SLAM 来自 Semantic Scholar 喜欢 0 阅读量: 72 作者: A Aguilar-González,M Arias-Estrada 摘要: Simultaneous Localization and Mapping (SLAM) is the problem of constructing a 3D map while simultaneously keeping track of an agent location within the map. In recent years,...
Dense mapping is an important part of mobile robot navigation and environmental understanding. Aiming to address the problem that Dense Surfel Mapping relies on the input of a common-view relationship, we propose a local map extraction strategy based on
ElasticFusion!DenseSLAM Without A Pose Graph vbim· 2020-3-5 9650 01:26 MVDiffusion++:ADenseHigh-resolution Multi-view Diffusion Model for Single or PaperWeekly· 3-11 1520 03:27 DPPTAM:DensePiecewise Planar Tracking and Mapping from a Monocular Sequence ...
vSLAM is an image-based mapping technique that uses a moving camera and multi-view geometry. vSLAM includes simultaneously tracking the movement of system 100 and mapping environment 160. In the vSLAM method, processing circuitry 130 can use the estimates of depths of objects in environment 160 ...
Such ‘monocular SLAM’ systems such as MonoSLAM [8] and the more accurate Parallel Tracking and Mapping (PTAM) system [17] allow researchers to investigate ?exible infrastructure- and marker-free AR applications. But while these systems perform real-time mapping, they were optimised for ef?
A large scale dense mapping technique utilizes range data that identifies points in three dimensions. The large scale dense mapping technique utilizes the range data obtained from r
Welcome to supereight 2: a high performance template octree library and a dense volumetric SLAM pipeline implementation. supereight 2 is a complete rewrite of theoriginal supereight. It addsstate-of-the-art mapping featureswhile also making the library more flexible and easier to use. ...
The utilization and generation of indoor maps are critical in accurate indoor tracking. Simultaneous Localization and Mapping (SLAM) is one of the main techniques used for such map generation. In SLAM, an agent generates a map of an unknown environment while approximating its own location in it....
An evaluation of the RGB-D SLAM system We present an approach to simultaneous localization and mapping (SLAM) for RGB-D cameras like the Microsoft Kinect. Our system concurrently estimates the t... F Endres,J Hess,N Engelhard,... - 《Proceedings IEEE International Conference on Robotics & ...