Search Results - (( intelligence based ((gps algorithm) OR (acs algorithm)) ) OR ( intelligence _ path algorithm ))
Search alternatives:
- intelligence based »
- path algorithm »
- gps algorithm »
- acs algorithm »
-
1
A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy
Published 2008“…A simulator is developed as a test bed for the proposed algorithm for various scenarios, including the field experiment using Garmin e-Trex GPS Receiver. …”
Get full text
Get full text
Final Year Project -
2
A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy
Published 2008“…A simulator is developed as a test bed for the proposed algorithm for various scenarios, including the field experiment using Garmin e-Trex GPS Receiver. …”
Get full text
Get full text
Thesis -
3
A comprehensive overview of classical and modern route planning algorithms for self-driving mobile robots
Published 2022“…This evaluation focuses mostly on the accuracy of the different path-planning algorithms. Common collision-free path planning methodologies are examined in this paper, including classical or traditional and modern intelligence techniques, as well as both global and local approaches, in static and dynamic environments. …”
Get full text
Get full text
Get full text
Article -
4
An Efficient Route Selection Based on AODV Algorithm for VANET
Published 2016“…Simulation result shown that VANET modified algorithm based on average signal strength has the advantage of choosing the optimum route to deliver data and own enhanced ratio (17%) by comparing with a maximum signal strength route.…”
Get full text
Get full text
Get full text
Conference or Workshop Item -
5
An Efficient Route Selection based on AODV Algorithm for VANET
Published 2016“…Simulation tested two of distance ranges among nodes (Long & Short) and the result shown that VANET modified algorithm based on average signal strength has the advantage of choosing the optimum route to deliver data and own enhanced ratio according to the distances (17.5% & 24.1%) by comparing with a maximum signal strength route.…”
Get full text
Get full text
Get full text
Article -
6
Fuzzy logic-based arrival time estimation for indoor navigation using augmented reality
Published 2025“…This study proposes a mobile AR application for indoor navigation that uses an intelligent signage algorithm based on fuzzy logic to estimate arrival time. …”
Get full text
Get full text
Get full text
Get full text
Article -
7
Modeling and simulation of WSNs for agriculture applications using dynamic transmit power control algorithm
Published 2013Get full text
Working Paper -
8
A novel high performance routing technique for cross-referencing DMFBs
Published 2012Get full text
Working Paper -
9
-
10
Hybrid ant colony system algorithm for static and dynamic job scheduling in grid computing
Published 2015“…The algorithms are ACS(GA), ACS+GA, ACS(TS), and ACS+TS. …”
Get full text
Get full text
Get full text
Thesis -
11
New algorithm for autonomous dynamic path planning in real-time intelligent robot car
Published 2017“…Different algorithms have been used to address this problem by considering the optimal path with minimum cost; however, these algorithms did not consider the execution time to find such path. …”
Get full text
Get full text
Get full text
Article -
12
Optimisation of Environmental Risk Assessment Architecture using Artificial Intelligence Techniques
Published 2024“…By contrast, the results of the safe path selection model were compared with the results obtained using Dijkstra's algorithm and the Floyd-Warshall algorithm. …”
thesis::doctoral thesis -
13
Mobile robot path planning using hybrid genetic algorithm and traversability vectors method
Published 2004“…Recent advances in robotics and machine intelligence have led to the application of modern optimization method such as the genetic algorithm (GA), to solve the path-planning problem. …”
Get full text
Get full text
Get full text
Article -
14
A review : On intelligent mobile robot path planning techniques
Published 2021“…The artificial intelligence methods such as genetic algorithm (GA), fuzzy logic (FL), ant colony optimization (ACO), neural network (NN), firefly algorithm (FA), particle swarm optimization (PSO), bacterial foraging optimization (BFO), artificial bee colony (ABC), and other miscellaneous algorithms are reviewed. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
15
Developing Bus Tracking System that predicts the arrival times of public buses at Universiti Teknologi PETRONAS (UTP) bus stops.
Published 2004“…The usage will allowthem to access the system that manipulates this algorithm. The scope of the project includes developing an algorithm, the research and analysis of GPS and the use of SMS. …”
Get full text
Get full text
Final Year Project -
16
Performance Analysis of Swarm Intelligence-Based Routing Protocol for Mobile Ad Hoc Network and Wireless Mesh Networks
Published 2009“…Also the main aim of this research is to solve the freezing problem during optimum as well as sub-optimum path discovery process. In this research, Intelligent AntNet based Routing Algorithm (IANRA) is presented for routing in WMNs and MANET to find optimum and near-optimum paths for data packet routing. …”
Get full text
Get full text
Thesis -
17
-
18
Implementation of swarm intelligence algorithms on mobile robots
Published 2017“…This thesis focusses on the implementation of swarm intelligence algorithms on multiple mobile robots. A scenario which could be used to display the swarm intelligence behavior is being designed in this thesis. …”
Get full text
Get full text
Get full text
Undergraduates Project Papers -
19
Adaptive route optimization for mobile robot navigation using evolutionary algorithm
Published 2021“…For example, Ant Colony Optimization (ACO) is an optimization algorithm based on swarm intelligence which is widely used to solve path planning problem. …”
Get full text
Get full text
Get full text
Get full text
Proceedings -
20
A Novel Path Prediction Strategy for Tracking Intelligent Travelers
Published 2009“…The FCM nodes are a novel selection of kinematical factors. Genetic algorithm (GA) is then used to train the FCM to be able to replicate the decisional behaviors of the intelligent traveler. …”
Get full text
Get full text
Thesis
