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Image Based Localization in Indoor Environments
TLDR
We present a complete image based localization pipeline for indoor environments using an ambulatory depth acquisition backpack that is originally developed for 3D modeling of indoor environments. Expand
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Indoor Localization Algorithms for an Ambulatory Human Operated 3D Mobile Mapping System
TLDR
We present an automatic, off-line pipeline for metrically accurate, GPS-denied, indoor 3D mobile mapping using a human-mounted backpack system consisting of a variety of sensors. Expand
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Reduced-complexity data acquisition system for image-based localization in indoor environments
TLDR
We present a reduced complexity data acquisition system and processing pipeline for image-based localization in indoor environments with significant cost and time savings and little loss in accuracy. Expand
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Potential clinical applications using stem cells derived from human umbilical cord blood.
There is an abundance of clinical applications using human umbilical cord blood (HUCB) as a source for stem cell populations. Other than haematopoietic progenitors, there are mesenchymal, endothelialExpand
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Image-Based Positioning of Mobile Devices in Indoor Environments
TLDR
In this chapter, we have presented a data acquisition system and processing pipeline for image-based positioning in indoor environments. Expand
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Hydraulically Actuated Muscle ( HAM ) Exo-Musculature
— The hydraulically actuated Exo-Musculature, consisting of a network of artificial hydro-muscles, can be rapidly assembled and utilized as either perform-alone or wearable, human body-symbioticExpand
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Sensor Fusion and Online Calibration of an Ambulatory Backpack System for Indoor Mobile Mapping
Author(s): Corso, Nicholas Giovanni | Advisor(s): Zakhor, Avideh | Abstract: GPS-denied indoor mobile mapping has been an active area of research for many years. With applications such as historicalExpand
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Automatic loop closure detection using multiple cameras for 3D indoor localization
TLDR
We develop an adaptive localization algorithm which takes advantage of the environment's floor planarity whenever possible and show that it improves localization error in complex mixed environments made of both planar and non-planar floors. Expand
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Loop Closure Transformation Estimation and Verification Using 2 D LiDAR Scanners
In many simultaneous localization and mapping (SLAM) systems, it is desirable to exploit the fact that the system is traversing though a previously visited environment. Once these locations, commonlyExpand
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