Results 41 to 50 of about 1,468,959 (299)

Comparing Cosmetic Results of Purse-String Closure vs Conventional Linear Sutured Closure of the Stoma Wound Following Loop Ileostomy Reversal

open access: yesTurkish Journal of Colorectal Disease, 2018
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

Robust Loop Closure by Textual Cues in Challenging Environments [PDF]

open access: yesIEEE Robotics and Automation Letters
Loop closure is an important task in robot navigation. However, existing methods mostly rely on some implicit or heuristic features of the environment, which can still fail to work in common environments such as corridors, tunnels, and warehouses. Indeed,
Tongxing Jin   +6 more
semanticscholar   +1 more source

Loop Closure Detection and SLAM in Vineyards with Deep Semantic Cues

open access: yesIEEE International Conference on Robotics and Automation, 2022
Automation of vineyards cultivation necessitates for mobile robots to retain accurate localization system. The paper introduces a stereo vision-based Graph-Simultaneous Localization and Mapping (Graph-SLAM) pipeline custom-tailored to the specificities ...
Alexios Papadimitriou   +6 more
semanticscholar   +1 more source

Detecting Loop Closure with Scene Sequences

open access: yesInternational Journal of Computer Vision, 2007
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

Loop closure detection using depth images [PDF]

open access: yes2013 European Conference on Mobile Robots, 2013
We investigate the question whether loop closure detection using depth images is feasible using currently available depth features. For this reason, we collected a benchmark dataset consisting of a total number of 15 logfiles with several loops in various environments, implemented a modular and easily extensible loop closure detector and used this to ...
Sebastian A. Scherer   +2 more
openaire   +1 more source

LiPMatch: LiDAR Point Cloud Plane Based Loop-Closure [PDF]

open access: yesIEEE Robotics and Automation Letters, 2020
This letter presents a point cloud based loop-closure method to correct long-term drifts in Light Detection and Ranging based Simultaneous Localization and Mapping systems. In the method, we formulate each keyframe as a fully-connected graph with nodes representing planes.
Jianwen Jiang   +4 more
openaire   +1 more source

Loop Closure Detection in Closed Environments [PDF]

open access: yes2019 European Conference on Mobile Robots (ECMR), 2019
Low cost robots, such as vacuum cleaners or lawn mowers employ simplistic and often random navigation policies. Although a large number of sophisticated mapping and planning approaches exist, they require additional sensors like LIDAR sensors, cameras or time of flight sensors.
Rottmann, Nils   +3 more
openaire   +2 more sources

Cooperativity in two-state protein folding kinetics [PDF]

open access: yes, 2003
We present a solvable model that predicts the folding kinetics of two-state proteins from their native structures. The model is based on conditional chain entropies. It assumes that folding processes are dominated by small-loop closure events that can be
Dill, Ken A.   +2 more
core   +4 more sources

Visual Odometry and Place Recognition Fusion for Vehicle Position Tracking in Urban Environments

open access: yesSensors, 2018
In this paper, we address the problem of vehicle localization in urban environments. We rely on visual odometry, calculating the incremental motion, to track the position of the vehicle and on place recognition to correct the accumulated drift of visual ...
Safa Ouerghi   +3 more
doaj   +1 more source

Fast Closed Loop Detection Method Based on Simplification Convolutional Neural Network [PDF]

open access: yesJisuanji gongcheng, 2018
Loop closure detection methods based on deep learning can achieve good detection performance in complicate illumination environment.But the dimension of extracted scene feature is too high to achieve the real-time detection requirement for closed loop ...
HE Yuanlie,CHEN Jiateng,ZENG Bi
doaj   +1 more source

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