ConSLAM: Construction Data Set for SLAM

A minimum data set for chronic venous disease

Minimum data set for electronic health card of schizophrenia

Purpose: Having a clinical information system is a good solution for monitoring medical problems. This system is designed to improve the speed and accuracy of data management. The goal is to replace medical records with a clinical information system to support storing, processing and distributing data in all the sections of a healthcare center. The purpose of this research was to determine ...

Validation of Data Association for Monocular SLAM

SimultaneousMapping and Localization (SLAM) is a multidisciplinary problemwith ramifications within several fields. One of the key aspects for its popularity and success is the data fusion produced by SLAM techniques, providing strong and robust sensory systems even with simple devices, such as webcams in Monocular SLAM. This work studies a novel batch validation algorithm, the highest order hy...

Robust Optimization with Data Driven Asymmetric Uncertainty Set Construction

In this paper, we introduced a novel method for asymmetric uncertainty set construction based on the distributional information of sampling data. Deterministic robust counterpart optimization formulation is derived for D-norm induced uncertainty set with the proposed method. Furthermore, the asymmetric set induced robust optimization model is compared with the classical symmetric set induced ro...

Data-Efficient Decentralized Visual SLAM

Decentralized visual simultaneous localization and mapping (SLAM) is a powerful tool for multi-robot applications in environments where absolute positioning systems are not available. Being visual, it relies on cameras, cheap, lightweight and versatile sensors, and being decentralized, it does not rely on communication to a central ground station. In this work, we integrate state-of-the-art dec...