Results 171 to 180 of about 3,474 (195)

Partnering for Health Workforce Development: A Case Study of Australian Volunteers International and the Solomon Islands Medical Internship Training Programme

open access: yesAsia Pacific Viewpoint, EarlyView.
ABSTRACT This paper examines the Solomon Islands Graduate Intern Supervision and Support Project (SIGISSP) and its successor, the Solomon Islands Medical Partnership for Learning, Education and Research (SIMPLER), a decade‐long partnership between the Solomon Islands Ministry of Health and Medical Services, the National Referral Hospital and Australian
Sharon McLennan
wiley   +1 more source

Allergenicity of α‐Gal‐Containing Products

open access: yes
Allergy, EarlyView.
Frederik Bloch Mangaard   +4 more
wiley   +1 more source

MF-SLAM: Multi-focal SLAM

2021
SLAM has achieved excellent achievement in the development of the past two decades and it has been extensively developed in robotics communities. The present binocular SLAM is based on the standard binocular camera to obtain images, and they have good positioning accuracy. However, it is necessary to detect and locate objects in the scene.
Mingchi Feng   +3 more
openaire   +1 more source

Blitz-SLAM: A semantic SLAM in dynamic environments

Pattern Recognition, 2022
Abstract Static environment is a prerequisite for most of visual simultaneous localization and mapping systems. Such a strong assumption limits the practical application of most existing SLAM systems. When moving objects enter the camera’s view field, dynamic matching points will directly interrupt the camera localization, and the noise blocks formed
Yingchun Fan   +4 more
openaire   +1 more source

LS-SLAM: SLAM with Lebesgue sampling

2016 American Control Conference (ACC), 2016
In the traditional SLAM framework, the state estimate is updated at a fixed frequency. However, such an approach can be inefficient because there is no need to update the state estimate when the deviation between two sequential estimates is within the predefined tolerance bound.
Tao Han   +3 more
openaire   +1 more source

DE‐SLAM: SLAM for highly dynamic environment

Journal of Field Robotics, 2022
AbstractSimultaneous localization and mapping (SLAM) is crucial for autonomous mobile robots. Most of the current SLAM systems are based on an assumption: the environment is static. However, the real environment is full of dynamic elements, such as pedestrians or vehicles, as well as changes in illumination and appearance over time.
Zhiwei Xing, Xiaorui Zhu, Dingcheng Dong
openaire   +1 more source

A-SLAM: Human in-the-loop Augmented SLAM

2019 International Conference on Robotics and Automation (ICRA), 2019
In this work, we are proposing an intuitive Augmented SLAM method (A-SLAM) that allows the user to interact, in real-time, with a robot running SLAM to correct for pose and map errors. We built an AR application that works on HoloLens and allows the operator to view the robot’s map superposed on the physical environment and edit it. Through map editing,
Abbas Sidaoui   +3 more
openaire   +1 more source

SLAM with conceptualisation

2008 10th International Conference on Control, Automation, Robotics and Vision, 2008
In this paper, we presented a novel approach for robot Simultaneous Localization and Mapping (SLAM) in an indoor environment. We observed that such an environment is partitioned into rooms and corridors. We thus propose that the robot should compute a map beginning with a conceptual view of its environment rather than a physical view of it.
Mee-Loong Yang, Wai-Kiang Yeap
openaire   +1 more source

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