Results 21 to 30 of about 7,647,640 (198)

Semantic SLAM With More Accurate Point Cloud Map in Dynamic Environments

IEEE Access, 2020
Static environment is a prerequisite for most existing vision-based SLAM (simultaneous localization and mapping) systems to work properly, which greatly limits the use of SLAM in real-world environments.
Yingchun Fan, Qichi Zhang, Shaofeng Liu, Yuliang Tang, Xin Jing, Jintao Yao, Hong Han   +6 more
doaj   +1 more source

Budget constrained execution of multiple Bag-of-Tasks applications on the Cloud [PDF]

, 2015
This research is supported by the EPSRC grant ‘Working Together: Constraint Programming and Cloud Computing’ (EP/K015745/1), a Royal Society Industry Fellowship ‘Bringing Science to the Cloud’, an EPSRC Impact Acceleration Grant (IAA) and an Amazon Web ...
Barker, Adam David, Varghese, Blesson, Adam Barker, Blesson Varghese, Thai, Long Thanh, Long Thai   +5 more
core   +1 more source

Dynamic graph attention networks for point cloud landslide segmentation

International Journal of Applied Earth Observations and Geoinformation, 2023
Accurate landslide segmentation is crucial for obtaining damage information in disaster mitigation and relief efforts. This study aims to develop a deep learning network for accurate point cloud landslide segmentation.
Ruilong Wei, Chengming Ye, Yonggang Ge, Yao Li, Jonathan Li   +4 more
doaj   +1 more source

Lidar Simultaneous Localization and Mapping Algorithm for Dynamic Scenes

World Electric Vehicle Journal
To address the issue of significant point cloud ghosting in the construction of high-precision point cloud maps by low-speed intelligent mobile vehicles due to the presence of numerous dynamic obstacles in the environment, which affects the accuracy of ...
Peng Ji, Qingsong Xu, Yifan Zhao
doaj   +1 more source

outcrop-point-cloud

, 2018
Example Outcrop Point Cloud for Estimating Historical Shear ...
Xin Wang (5597843)
core   +1 more source

Adaptive cascaded dynamic point cloud removal method for unstructured coal mine scenarios

Gong-kuang zidonghua
Existing dynamic point cloud removal methods are mostly designed for structured scenarios. When applied to unstructured coal mine environments characterized by non-uniform point cloud distribution, large spatial structural differences, and large-scale ...
GUO Hongtao, WANG Lei
doaj   +1 more source

LiDAR-Based SLAM under Semantic Constraints in Dynamic Environments

Remote Sensing, 2021
Facing the realistic demands of the application environment of robots, the application of simultaneous localisation and mapping (SLAM) has gradually moved from static environments to complex dynamic environments, while traditional SLAM methods usually ...
Weiqi Wang, Xiong You, Xin Zhang, Lingyu Chen, Lantian Zhang, Xu Liu   +5 more
doaj   +1 more source

A Laser SLAM Algorithm for Indoor Dynamic Pedestrian Scenes [PDF]

Jisuanji gongcheng
Eliminating the interference of dynamic pedestrians in real-time mapping is a core challenge in laser Simultaneous Localization And Mapping (SLAM) algorithms, particularly in complex indoor environments.
YE Zhiqi, ZHANG Guobao, ZHU Hongwei
doaj   +1 more source

Robust 3-Dimension Point Cloud Mapping in Dynamic Environment Using Point-Wise Static Probability-Based NDT Scan-Matching

IEEE Access, 2020
Graph-based simultaneous localization and mapping (SLAM) is one of the methods to generate point cloud maps which are used for various applications in autonomous vehicles.
Sumyeong Lee, Chansoo Kim, Sungjin Cho, Sunwoo Myoungho, Kichun Jo   +4 more
doaj   +1 more source

Analytical Point-Cloud Based Geometric Modeling for Additive Manufacturing and Its Application to Cultural Heritage Preservation [PDF]

, 2018
Point-cloud is a valuable piece of information for geometric modeling and additive manufacturing of different types of objects. In most cases, a point-cloud is obtained by using the 3D scanners or by using image processing. Alternatively, one can rely on
A.M.M. Sharif , Ullah, KUBO, Akihiko, Tashi, WATANABE, Michiko   +3 more
core   +1 more source