Search Results - (( develop turning path algorithm ) OR ( java application optimization algorithm ))
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Path planning algorithm for a car like robot based on Coronoi Diagram Method
Published 2013“…The purpose of this study is to develop an efficient offline path planning algorithm that is capable of finding optimal collision-free paths from a starting point to a goal point. …”
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Implementation of an autonomous mobile robot navigation algorithm using C language
Published 2009“…The objective of the project is to develop navigation algorithm for the autonomous mobile robot. …”
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Final Year Project -
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Optimised multi-robot path planning via smooth trajectory generation
Published 2024“…A MPSO algorithm, without path smoothening, is used for comparison. …”
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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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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Computationally-efficient path planning algorithms in obstacle-rich environments based on visibility graph method
Published 2018“…Cun·ent studies have been focused on developing path planning algorithms to satisfy the criteria of path planning namely minimum path length, low computation time and complete, i.e., it gives positive result if a path is available or negative if otherwise. …”
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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 -
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Range sensor based local path planning algorithm for mobile robot in unknown static environment with beacon / Wan Ahmad Jailani Wan Ngah
Published 2013“…The Bug algorithm is a local path planning methodology for mobile robot which detects the nearest obstacle as the robot moves towards a target with no or very limited information about the environment. …”
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10
Energy efficient path-planning for unmanned aerial vehicle
Published 2022“…This project develops an efficient path-planning algorithm for an unmanned aerial vehicle (UAV) in obstacle-rich environments considering minimum energy consumption. …”
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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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Article -
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Path Following Using A Learning Neural Network
Published 2004“…This thesis is a development ofprevious works done by [2} on capability of neural controller to efficiently track prescribed paths. …”
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Final Year Project -
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Collision avoidance algorithm design for UAV base on parametric theorem and circle overlapping method / Nur Fadzilah Mohamad Radzi
Published 2013“…Then, a collision detection algorithm is developed to calculate the potential of collision in future. …”
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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Research on risk detection of autonomous vehicle based on rapidly-exploring random tree
Published 2023“…A non-particle collision detection (NPCD) collision detection algorithm and path modification (PM) path modification strategy are proposed for the collision risk in the turning process, and geometric constraints are used to represent the possible security threats, so as to improve the efficiency and safety of vehicle global path driving and to provide reference for the research of driverless vehicles.…”
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IMPLEMENTATION OF BEHAVIOUR BASED NAVIGATION IN A PHYSICALLY CONFINED SITE
Published 2017“…This study looks at developing a behavior-based algorithm that adaptable to several different environment configurations. …”
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Final Year Project -
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Study Of Behaviour-based Navigation for Indoor Mobile Robot
Published 2018“…The wall follower behaviour is mainly controlled using the PID controller. The developed behaviours were then tested in a track consisted of 5 types of junctions which are the left turn, right, turn, dead-end, 3-way and 4-way junctions. 10 trials have been done on each junction in order to observe the success rate of the mobile robot reacting to the approached junction. …”
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Final Year Project -
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Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT
Published 2006“…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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Thesis