Search Results - (( initial estimation path algorithm ) OR ( using codification based algorithm ))
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1
GPS boundary navigation of DrosoBots using MATLAB simulation
Published 2010“…To implement this, region recognition and several path planning algorithms have been utilized. Besides that, pixilation of path is also used to estimate the coverage of the path planning. …”
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2
Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…These algorithms are inspired by the estimation capability of the well-known Kalman filter estimation method. …”
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3
Development of real-time navigation system by using pure pursuit guidance for unmanned surface vehicle
Published 2024“…The Pure Pursuit algorithm works by focusing on the nearby path relative to the USV's position, guiding it with steering directions based on its current position and orientation. …”
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4
Multi-sensor fusion for automated guided vehicle positioning
Published 2010“…Relative positioning techniques based on measuring travelled distance by the robot and accumulate it to its initial position to estimate current position, which lead to drift error over time. …”
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Review of Kalman filter variants for SLAM in mobile robotics with linearization and covariance initialization
Published 2025“…Simultaneous Localization and Mapping (SLAM) has become a foundational concept in robotics navigation in which enabling autonomous systems to build maps of unknown environments while estimating their own position. This article aims to provide a comprehensive review of SLAM concept in the context of mobile robotics navigation by focusing on theoretical principles, estimation problem, algorithm involved and related application. …”
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Article -
7
Wi-Fi signal strengths database construction for indoor positioning systems using Wi-Fi RFID
Published 2013“…Whenever there are significant changes in signal levels detected, server will initiate database reconstruction procedure. Compared to existing calibration procedure our method requires only few signal samples from RFID tags to be collected and rest of the database is recovered using path-loss prediction algorithm.…”
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8
Obstacle detection technique using multi sensor integration for small unmanned aerial vehicle
Published 2017“…Finally, safe avoidance path for UAV is determined through the exterior feature points from the estimated width of the obstacle. …”
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Modeling and control of a Pico-satellite attitude using Fuzzy Logic Controller
Published 2010“…The design of the APFLC is initially started with the designation of Basic FLC with two input and single output system. …”
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10
Enhancing navigation accuracy of Turtlebot3 Burger mobile robot
Published 2024“…The basic navigation of the robot requires a significant amount of data and resources to process the output path. To address this challenge, the Kalman Filter algorithm is implemented in this robot, as it is widely used for mobile robot navigation and system integration. …”
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11
Discriminative feature representation for Malay children’s speech recognition / Seyedmostafa Mirhassani
Published 2015“…Three speech databases were used for the experiments including prolonged Malay vowels and Malay continuous speech database based on children’s speech and TIMIT database based on adult speeches. …”
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12
Development of mapping methods for seagrass meadows in Malaysia by using landsat images
Published 2015“…A statistical assessment and an evaluation of the twelve SLC-off and four SLCon images covering seagrass meadows of Sungai Pulai estuary, Johor, Malaysia were conducted for data loss estimates. This analysis revealed a 2% systematic error attributable to a gradual increase of SLC-off stripes from the central nadir path towards the edge of the scene. …”
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13
Design and implementation of double rotor switched reluctance motor using magnetic circuit analysis
Published 2013“…The algorithm to derive the magnetic characteristics of the machine is presented. …”
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14
Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System
Published 2008“…Hourly data for flow were created into compatible MIKE11 time series in a separate file as input to the parameter editors. Initial and boundary conditions were based on the inputs for MIKE11 operational analysis. …”
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