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Simultaneous Localization and Mapping problem

Data Association Analysis In Simultaneous Localization And Mapping Problem

Data Association Analysis In Simultaneous Localization And Mapping Problem

... Abstract: This paper examines the data association issues in Simultaneous Localization and Mapping Problem on two different techniques. Data association determines the system efficiency and ...

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Networked Robots Path Planning Using Simultaneous Localization and Mapping Algorithm

Networked Robots Path Planning Using Simultaneous Localization and Mapping Algorithm

... Robot navigational path planning has been cited as a vital research in the field of robotics. Path planning is pertaining to active navigation that guides a robot to locations within the built map to improve ...

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HF Fuzzy logic based mobile robot navigation: A solution to finite 
		escape time

HF Fuzzy logic based mobile robot navigation: A solution to finite escape time

... famous problem in navigation is the Simultaneous Localization and Mapping (SLAM) which requires the mobile robot to observe the area of interest and concurrently build a map while at the same ...

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Computational cost analysis of extended kalman filter in simultaneous 
		localization and mapping (EKF SLAM) problem for autonomous vehicle

Computational cost analysis of extended kalman filter in simultaneous localization and mapping (EKF SLAM) problem for autonomous vehicle

... Simultaneous localization and mapping (SLAM) is the operation of the robot building a map of an environment, while simultaneously localizing itself in ...SLAM problem, [7, 8] has been ...

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Hybrid genetic algorithm and particle filter optimization model for simultaneous localization and mapping problems

Hybrid genetic algorithm and particle filter optimization model for simultaneous localization and mapping problems

... SLAM problem consider only the first category of uncertainty, and assume that the data association problem will be solved when observations are integrated into the map ...in localization, which can ...

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Features detection and matching for visual simultaneous localization and mapping (VSLAM)

Features detection and matching for visual simultaneous localization and mapping (VSLAM)

... In Table VI, the results showed that for each category, SIFT was able to perform better matching compared to MSER and SURF. For example, for scale and rotation categories, SIFT has outperformed 95% more detection than ...

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Simultaneous Localization and Mapping Solutions Using Monocular and Stereo Visual Sensors with Baseline Scaling System

Simultaneous Localization and Mapping Solutions Using Monocular and Stereo Visual Sensors with Baseline Scaling System

... SLAM problem using several methods of ...3D mapping helps to view the three-dimensional objects and spatial structure on the computer ...scale-drift problem [3], and light change ...

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Application of Simultaneous Localization and Mapping  Algorithms for Haptic Teleoperation of Aerial Vehicles

Application of Simultaneous Localization and Mapping Algorithms for Haptic Teleoperation of Aerial Vehicles

... Providing more than one camera to acquire depth perception (such as stereo vision) is a classical solution, however, it may be unsuitable in some cases due to the fact that the payload of the platform and complexity of ...

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Exponentially weighted particle filter for simultaneous localization and mapping based on magnetic field measurements

Exponentially weighted particle filter for simultaneous localization and mapping based on magnetic field measurements

... fields generated in indoor environment were rather stable and repeatable. The pattern and the signature of the magnetic fields could be used for indoor location and navigation. The idea of applying magnetic field for ...

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Simultaneous Localization and Mapping (SLAM) : towards an autonomous search and rescue aiding drone

Simultaneous Localization and Mapping (SLAM) : towards an autonomous search and rescue aiding drone

... this problem is by using Extended Kalman Filters (EKF) to track the location and uncertainty of each feature that was extracted from the sensor data [6, ...

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Automated Guided Vehicle (AGV) System Based On Simultaneous Localization And Mapping (SLAM)

Automated Guided Vehicle (AGV) System Based On Simultaneous Localization And Mapping (SLAM)

... SLAM problem can be seen as a rare barrier graph, and it uses nonlinear optimization to improve the map and place the ...SLAM problem and proposes taxonomies for this ...

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Simultaneous localization and mapping with power network electromagnetic field

Simultaneous localization and mapping with power network electromagnetic field

... Recent years have seen the increasing need of location aware- ness by mobile applications. As of November 2017, 62% of the top 100 free Android Apps on Google Play require location services. While GPS can provide outdoor ...

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Map-merging in Multi-robot Simultaneous Localization and Mapping Process Using Two Heterogeneous Ground Robots

Map-merging in Multi-robot Simultaneous Localization and Mapping Process Using Two Heterogeneous Ground Robots

... multi-robot simultaneous localization and mapping (SLAM) ...complex problem, simultaneous localization and mapping methods are ...

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A Review: Simultaneous Localization and Mapping in Application to Autonomous Robot

A Review: Simultaneous Localization and Mapping in Application to Autonomous Robot

... accuracy and SLAM runtime. Therefore, researchers are left to decide whether to reduce the accuracy of the SLAM system to decrease it computational cost or vice versa. In future, the greatest accomplishment is to attain ...

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Indoor Simultaneous Localization and Mapping for Lego Ev3

Indoor Simultaneous Localization and Mapping for Lego Ev3

... closure problem in SLAM. To simplify the problem, we put some distinct, regular objects in our environment, such as boxes, computer cases, another Lego Ev3, some simulated traffic signs posted on the wall ...

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Autonomous robot motion path planning using shortest path planning algorithms

Autonomous robot motion path planning using shortest path planning algorithms

... fundamental problem in robotics and also arises in other applications including navigation, simultaneous localization and mapping (SLAM)[2], animation ...

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Visual Simultaneous Localization And Mapping (VSLAM) methods applied to indoor 3D topographical and radiological mapping in real-time

Visual Simultaneous Localization And Mapping (VSLAM) methods applied to indoor 3D topographical and radiological mapping in real-time

... sources localization uncertainties generation and propagation will also be estimated in order to provide a complete method for estimating uncertainties and errors in such kind of system that combines acquisition ...

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Proposal of Lateral Inhibition Real Time Map Updating Method for Simultaneous Localization and Mapping by Using LRF

Proposal of Lateral Inhibition Real Time Map Updating Method for Simultaneous Localization and Mapping by Using LRF

... time when the laser range finder sensor was moving from a position to another room position with low speed. In addition, the environment map was created without deformation in the three trees environment which has a ...

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Automation of a Prosthetic Limb using Shared Control of Brain Machine Interface and Vision Guided Robotics

Automation of a Prosthetic Limb using Shared Control of Brain Machine Interface and Vision Guided Robotics

... Direct Neural Interface (DNI), or Brain Computer Interface (BCI) is a direct communication pathway between an enhanced or wired brain and an external device. BMIs are often directed at researching, mapping, ...

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Real time Visual SLAM for mobile robot navigation and object detection : a thesis presented in partial fulfilment of the requirement for the degree of Doctor of Philosophy in Engineering at Massey University, Albany, New Zealand

Real time Visual SLAM for mobile robot navigation and object detection : a thesis presented in partial fulfilment of the requirement for the degree of Doctor of Philosophy in Engineering at Massey University, Albany, New Zealand

... od is the inability to process environmental changes. Thus, this method cannot work in a dy- namic environment. Boundary-following methods also use a common control structure (Chatterjee & Matsuno, 2001). In this ...

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