Search Results - (( program navigation using algorithm ) OR ( java applications optimization algorithm ))
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Implementation of Autonomous Vehicle Navigation Algorithms Using Event-Driven Programming
Published 2012“…By using FSM to describe the behaviour of a navigating mobile robot, an equivalent algorithm can be developed. …”
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Conference or Workshop Item -
2
MAZE ROBOT: APPLYING AUTONOMOUS VEHICLE NAVIGATION ALGORITHM WITH EVENT-DRIVEN PROGRAMMING
Published 2011“…Event-driven programming method was applied in producing the maze navigation algorithm for the robot.…”
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Final Year Project -
3
Implementation of autonomous vehicle navigation algorithms using event-driven programming
Published 2012“…By using FSM to describe the behaviour of a navigating mobile robot, an equivalent algorithm can be developed. …”
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Conference or Workshop Item -
4
Vision-based robot indoor navigation
Published 2022“…This project aims to develop a vision-based navigation robot using OpenCV and C++ programming language in an indoor environment. …”
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Final Year Project / Dissertation / Thesis -
5
Implementation of an autonomous mobile robot navigation algorithm using C language
Published 2009“…After that, implement the navigation algorithm on the mobile robot and without using the external sensor for navigation of the mobile robot to reach the specified point. …”
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Final Year Project -
6
Design Of Robot Motion Planning Algorithm For Wall Following Robot
Published 2006“…Algorithms are developed for a simulated mobile robot that uses an array of range finders for navigation. …”
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Monograph -
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Indoor Navigation Algorithm For Mobile Robot
Published 2016“…Set of experiments presented to validate our system using MATLAB program. Testing verified that good accuracy, sufficient for navigation, was achieved. …”
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Book Section -
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Conference or Workshop Item -
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Conference or Workshop Item -
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
12
GPS boundary navigation of DrosoBots using MATLAB simulation
Published 2010“…This paper presents the initial developmental stage of mini Autonomous Surface Vehicles (ASVs), which is to define the algorithm of boundary navigation for each of the ASV via programming and sensor networks. …”
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Proceeding Paper -
13
PID controller for unmanned aerial vehicle in closed environment using fiducial marker systems
Published 2024“…The aim of this paper is to develop an autonomous navigation algorithm for a UAV using a tag-based visual system. …”
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Controller And Circuitry Design And Implementation For Fire Fighting Robot For MIROC 2014 Competition
Published 2014“…This algorithm is designed using an iterative design model, whereby the program is continually tested and improved. …”
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Final Year Project -
16
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Indirect Feedback Kalman Filter Based Sensor Fusion for Reducing Navigation Errors of an Autonomous Wheelchair
Published 2018“…Fusion of the wheel encoders and gyroscope was effected using indirect feedback Kalman filter algorithm. …”
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Final Year Project / Dissertation / Thesis -
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Collision prediction based genetic network programming-reinforcement learning for mobile robot navigation in unknown dynamic environments
Published 2017“…The problem of determining a smooth and collision-free path with maximum possible speed for a Mobile Robot (MR) which is chasing a moving target in a dynamic environment is addressed in this paper. Genetic Network Programming with Reinforcement Learning (GNP-RL) has several important features over other evolutionary algorithms such as it combines offline and online learning on the one hand, and it combines diversified and intensified search on the other hand, but it was used in solving the problem of MR navigation in static environment only. …”
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Development of real-time navigation system by using pure pursuit guidance for unmanned surface vehicle
Published 2024“…From 40s to 70s, the USV followed the target, reaching its last known position at 75s, showing how the tracking algorithm effectively guides the USV using Pure Pursuit guidance. …”
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