Results 21 to 30 of about 59,217 (275)
Treating necrotizing diabetic infections can lead to significant loss of skin and soft tissue, making primary closure ill-advised. Managing large diabetic wounds is challenging and more so in community hospitals with limited resources and specialists.1 ...
Ersta Ferryanto, DPM +2 more
doaj +1 more source
LiDAR Iris for Loop-Closure Detection [PDF]
In this paper, a global descriptor for a LiDAR point cloud, called LiDAR Iris, is proposed for fast and accurate loop-closure detection. A binary signature image can be obtained for each point cloud after several LoG-Gabor filtering and thresholding operations on the LiDAR-Iris image representation.
Wang, Ying +5 more
openaire +3 more sources
A Robust and Efficient Loop Closure Detection Approach for Hybrid Ground/Aerial Vehicles
Frequent and dramatic viewpoint changes make loop closure detection of hybrid ground/aerial vehicles extremely challenging. To address this issue, we present a robust and efficient loop closure detection approach based on the state-of-the-art ...
Yutong Wang +3 more
doaj +1 more source
Herein, a real‐time, fast, tightly coupled simultaneous localization and mapping (SLAM) system is proposed. The deep neural network is used to segment the point cloud semantically to construct the point cloud semantic map descriptor, and the global ...
Yingzhong Tian +7 more
doaj +1 more source
PLSAV: Parallel loop searching and verifying for loop closure detection
Visual simultaneous localization and mapping (vSLAM), one of the most important applications in autonomous vehicles and robots to estimate the position and pose using inexpensive visual sensors, suffers from error accumulation for long‐term navigation ...
Zhe Yang +4 more
doaj +1 more source
Fast Loop Closure Detection via Binary Content [PDF]
IEEE International Conference on Control and Automation (ICCA ...
Wang, Han +3 more
openaire +3 more sources
Lightweight Unsupervised Deep Loop Closure
Robust efficient loop closure detection is essential for large-scale real-time SLAM. In this paper, we propose a novel unsupervised deep neural network architecture of a feature embedding for visual loop closure that is both reliable and compact. Our model is built upon the autoencoder architecture, tailored specifically to the problem at hand.
Nathaniel Merrill, Guoquan Huang
openaire +3 more sources
Background: Loop ileostomy has an important role in mitigating the serious effects of anastomotic leakage in colorectal surgery. However, the morbidity and mortality associated with ileostomy reversal cannot be overlooked.
HyungJoo Baik, Ki Beom Bae
doaj +1 more source
Aim: Currently, conventional linear sutured closure of the skin following loop ileostomy reversal is widely used. Recently, The purse-string closure technique has been described as an approach associated with less wound infection and scar formation.
Wafi Attaallah +3 more
doaj +1 more source
Detecting Loop Closure with Scene Sequences
This paper is concerned with "loop closing" for mobile robots. Loop closing is the problem of correctly asserting that a robot has returned to a previously visited area. It is a particularly hard but important component of the Simultaneous Localization and Mapping (SLAM) problem.
Ho, K, Newman, P
openaire +1 more source

