Search Results - (( java implication based algorithm ) OR ( using path matching algorithm ))
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A Novel Map-matching Algorithm to Improve Vehicle Tracking System Accuracy
Published 2008“…The curve-to-curve matching algorithms measure the similarity between the track and possible road path. …”
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A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy
Published 2008“…The results showed that the proposed algorithm is able to improve the map-matching accuracy as compared to the point-to-curve algorithm. …”
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Thesis -
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A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy
Published 2008“…The results showed that the proposed algoritlimi is able to improve the neap-matching accuracy as compared to the point-to-curve algorithm. …”
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Final Year Project -
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Weighted Sum-Dijkstra’s Algorithm in Best Path Identification based on Multiple Criteria
Published 2018“…Dijkstra’s Algorithm is a shortest path algorithm that considers a single criterion only. …”
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Improvement Of Stereo Matching Algorithm Based On Sum Of Gradient Magnitude Differences And Semi-Global Method With Refinement Step
Published 2018“…A new stereo matching algorithm which uses improved matching cost computation and optimisation using the semi-global method (SGM) is proposed.The absolute difference is sensitive to low textured regions and high noise on the stereo images with radiometric distortions. …”
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Destination prediction based on past movement history
Published 2020“…After matching it attempts to narrow down the possible final destination by eliminating paths from history that do not meet a set threshold for the next round matching. …”
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Thesis -
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A novel map-matching algorithm to improve vehicle tracking system accuracy
Published 2007“…Point-to-curve matching algorithm is not suitable to the problem since it ignores any historical data and often gave unstable, jumping results. …”
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Vehicle route tracking system based on vehicle registration number recognition using template matching algorithm
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Associated Factors of Cardiovascular Diseases in Pakistan: Assessment of Path Analyses Using Warp Partial Least Squares Estimation
Published 2020“…Warp partial least squares (PLS) based on warp 3 algorithm was used to estimate the simultaneous linear and non-linear path coefficients of the proposed model of study. …”
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DC-based PV-powered home energy system
Published 2017“…Therefore, this work proposes the design and development of a wireless low power consumption prototype energy monitoring system using a novel solar-battery charge controller based on the DC voltage matching concept. …”
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Thesis -
12
Local DTW coefficients and pitch feature for back-propagation NN digits recognition
Published 2006“…The speech recognition is performed using the back-propagation neural network (BPNN) algorithm to enhance the recognition performance. …”
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Local DTW Coefficients and Pitch Feature for Back-Propagation NN Digits Recognition
Published 2006“…The speech recognition is performed using the back-propagation neural network (BPNN) algorithm to enhance the recognition performance. …”
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Simulated Kalman Filter with modified measurement, substitution mutation and hamming distance calculation for solving traveling salesman problem
Published 2022“…The fundamental and standard algorithm were first introduced. Then, the work on the algorithm improvements was surveyed. …”
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Slam-based mapping for object recognition
Published 2018“…After a map of the unknown environment is built, the Adaptive Monte Carlo Localization (AMCL) is used to localize the robot and Dijkstra’s algorithm is deployed to compute the shortest path to the destination goal. …”
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Final Year Project / Dissertation / Thesis -
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Motion estimation on homogenous surface for around view monitoring system
Published 2020“…With AVM, we can significantly decrease the number of minor accidents. AVM will not only be used for parking assistance but can also assist navigation in the narrow path area. …”
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Proceeding Paper -
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Obstacle detection for Unmanned Aerial Vehicle (UAV)
Published 2022“…Due to physical size restrictions and payload capacity, the lightweight Pi Camera and TF Luna LiDAR sensor were selected as the most suitable sensors for integration. In algorithm development and filtration is used to improve the accuracy of the feature matching process, which is required for classifying the obstacle region and free region of any texture obstacle. …”
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