Showing 1-25 of 2,576 resultsfor "Index Terms":Straight-line Distance
"Index Terms":Straight-line Distance
- Sort
Get notified when new research is published matching your search criteria.
Sort By
Results
Automatic generation of station catchment areas: A comparison of Euclidean distance transform algorithm and location-allocation methods
Ting Grace Lin;Richard Palmer;Jianhong Cecilia Xia;David A. McMeekin
2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)
Year: 2014 | Conference Paper |
Cited by: Papers (2)
A train station catchment area can be generated in two ways: by surveying train users or by modelling methods. The former method is time consuming and labor intensive. In this paper attention was given to develop methods that automatically generate station catchment areas. This study's aim was to compare two modelling methods: the Euclidean distance transform / Voronoi diagram generation method an...Show More
A Three-Dimensional Node Localization Algorithm Based on the Optimization of Hop Distance in Internet of Things
2023 3rd International Conference on Information Communication and Software Engineering (ICICSE)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
This paper firstly analyzes and points out the problems of the traditional DV-Hop algorithm, then proposes a node localization algorithm based on the hop distance optimization, which uses the actual path distance between two anchor nodes instead of the traditional linear distance to calculate the average hop distance of anchor nodes, and further calculates the average hop distance of unknown nodes...Show More
An algorithm for shortest raster distance in Euclidean space with obstacles
2011 19th International Conference on Geoinformatics
Year: 2011 | Conference Paper |
Cited by: Papers (2)
The application of the shortest raster distance algorithm in Euclidean space without obstacle is unsuitable and inaccurate in real geographical environment. A new efficient algorithm is presented in this paper which aims to obtain shortest Euclidean distance in a space with multiple point sources and polygonal obstacles based on raster data model. First the turning points on the routes are defined...Show More
The key technique of sit-and-reach distance measurement in this study mainly consists of two stages: the first stage is the initial calibration of the test site, including camera calibration, identification and calibration of the test site identification points and finger key points; the second stage is the distance measurement stage, including the calculation of the coordinates of the finger tip ...Show More
In numerous location-based applications, such as the vehicular routing problem, driving distances play a crucial role. However, these driving distances often differ from the direct geographic distance computed using latitude and longitude. Hence, accurately estimating the driving distance between two positions is vital for the success of such services. Researchers have worked on developing efficie...Show More
Time Optimal Path Planning on Placing Ball Robot
2010 International Conference on Intelligent System Design and Engineering Application
Year: 2010 | Conference Paper |
This article contributes to solve time optimal path planning of robot applied remote real-time snooker match. According to characteristics of this problem, difficulties and key points, a new method is proposed in this paper for near minimum-time path planning of this problem which converts actual model 1 based on the problem into abstract model 2. And then Matlab program is written to calculate so...Show More
The signed Euclidean distance transform and its applications
[1988 Proceedings] 9th International Conference on Pattern Recognition
Year: 1988 | Conference Paper |
The signed Euclidean distance transform described is a modified version of P.E. Danielsson's Euclidean distance transform (1980). The distance transform produces a distance map in which each pixel is a vector of two integer components. If a distance map is created inside the objects, the two integer values of a pixel in the distance map represent the displacements of the pixel from the nearest bac...Show More
Automatic cruise and intelligent obstacle avoidance method of geological radar auxiliary equipment based on YOLOX-nano lightweight target detection
2024 4th International Conference on Intelligent Power and Systems (ICIPS)
Year: 2024 | Conference Paper |
Automatic cruise and intelligent obstacle avoidance method based on YOLOX-nano lightweight object detection, include, Single-stage (One-Stage) target detection algorithm based on regression; YOLOX-nano road detection method based on the least squares method; YOLOX-nano-obstacle recognition distance estimation method based on single visual ranging method; Autonomous cruise control strategy based on...Show More
Fault diagnosis of diesel engine based on fusion distance calculation
2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)
Year: 2016 | Conference Paper |
Cited by: Papers (2)
The fault diagnosis of diesel engine is a typical cluster analysis. Effective clustering is often achieved through distance calculation in the cluster analysis. Directing at the issue that fault features cannot be effectively calculated with classic Mahalanobis distance and Euclidean distance when there is fuzzy correlation between the variables of fault feature, this article combines Mahalanobis ...Show More
On the Rényi Divergence, Joint Range of Relative Entropies, and a Channel Coding Theorem
This paper starts by considering the minimization of the Rényi divergence subject to a constraint on the total variation distance. Based on the solution of this optimization problem, the exact locus of the points (D(QIIP1), D(QIIP2)) is determined when P1, P2, and Q are arbitrary probability measures which are mutually absolutely continuous, and the total variation distance between P1 and P2 is no...Show More
Evaluate Errors of 1-median Model: A Case Study in Spring Hill, FL, US
2018 26th International Conference on Geoinformatics
Year: 2018 | Conference Paper |
Where to establish new facilities has received an increasing focus among researchers. Approaches to this question depend on at least a set of three elements, namely representation of demand units, a distance metric, and a location-allocation model. Yet, the choice of these parameters may potentially generate different results leading to significant location errors. The aim of this paper is to quan...Show More
Representation of musical rhythm and its classification system based on mathematical and geometrical analysis
2008 International Conference on Computer and Communication Engineering
Year: 2008 | Conference Paper |
Cited by: Papers (5)
One of the fundamental elements of music is rhythm and a rhythm is nothing but a combination of some claps and waves. Every pieces of music must follow some rhythms and music of different regions differs from each other. To identify the difference we have to retrieve the hidden rhythms of music and also have to identify its properties. A common way to represent a rhythm is as a binary format where...Show More
The polar distance transform by fast-marching
2008 19th International Conference on Pattern Recognition
Year: 2008 | Conference Paper |
Cited by: Papers (2)
Image analysis tools that process the image using polar coordinates are needed to avoid the interpolation from polar to cartesian coordinates. We present a tool for analysing and processing circular objects - the polar distance transform computed by fast-marching. The fast marching method can be used for computing the grey-weighted distance transform by numerically approximating the Eikonal differ...Show More
Research on Target Distance Detection Technology of Vehicle Assisted driving Based on monocular Vision
2021 11th International Conference on Information Technology in Medicine and Education (ITME)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
ADAS has been applied in autonomous driving widely and is the active field of AI applications. This is a survey of distance measurement with monocular camera to detect objects in front of the vehicle and anti-collision warning to make driving more safe. We present a new distance measurement method that YOLOv5 algorithm is applied to detect things in front of the vehicle and the improve method base...Show More
A runway recognition algorithm based on heuristic line extraction
2011 International Conference on Image Analysis and Signal Processing
Year: 2011 | Conference Paper |
Cited by: Papers (7)
An airport is a typical strategic target for detection and attack, and runway recognition automatically in an aerial image has an important military meaning. Aimed at the characteristics of the edge lines of the runway in an aerial image, a runway recognition algorithm based on heuristic line extraction is presented. First, we use the Sobel operator to get the edge image that has been number norma...Show More
A Single-End Protection Principle Based on the Manhattan Distance of DC Reactor Voltage
2023 International Conference on Power System Technology (PowerCon)
Year: 2023 | Conference Paper |
The current protection principle is significantly impacted by high resistance faults (HRF), which affects the secure and reliable operation of the DC transmission system by lowering the selectivity of the DC line main protection. To address this issue, this paper suggests a novel single-end protection principle scheme based on the Manhattan distance of the time-domain DC reactor voltage. First, th...Show More
Straight Line Detection Using Euclidean Distance Between Consecutive Pixels
2021 International Conference on Engineering and Emerging Technologies (ICEET)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
Lines play a very important role in image processing and computer vision. They are a clue or a feature that enables further processing of an image, both in the image processing and computer vision fields. It is therefore imperative that they are accurately extracted or detected. The clues obtained from an image are used to calculate the line parameters, which tends to be an efficient way to detect...Show More
Monocular visual based obstacle distance estimation method for ultra-low altitude flight
2019 IEEE International Conference on Unmanned Systems (ICUS)
Year: 2019 | Conference Paper |
Cited by: Papers (4)
This paper focuses on the problem of ultra-low-altitude flight obstacle distance estimation for monocular vision-assisted aircraft. First, the basic error model of distance estimation using sequence images is derived and the phenomenon of "epipole dead zone" is revealed. Then the distance estimation algorithm based on pairs of coplanar points is proposed as well as its error model. This algorithm ...Show More
Estimation of inter-centroid distance quality in data clustering problem using hybridized K-means algorithm
2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT)
Year: 2017 | Conference Paper |
Cited by: Papers (3)
This paper presents, simulate, access and applies the proposed for data classification of medical dataset with aims to classify patients based on medical history. This modified data classification algorithm was formulated using k-Means algorithm. The simulation has been performed by using Real and artificial datasets on MATLAB 7.7.0 and showed that increasing the accuracy of data classification of...Show More
Skyline computation is relevant in multi-criteria decision making where the criteria are inversely proportional to each other. Skyline is generally computed using dominance analysis and applicable in a situation where shortest distance is computed with respect to a point of importance. In real life scenarios different cost parameters are obviously high for the points which are designated as "impor...Show More
On Estimation Algorithm for Radio Communication Distance along Rough Surface
Hironori Fujii;Kazunori Uchida;Mayumi Nakagawa;Junichi Honda;Kwang-Yeol Yoon
2009 International Conference on Complex, Intelligent and Software Intensive Systems
Year: 2009 | Conference Paper |
Cited by: Papers (1)
This paper is concerned with the estimation of radio communication distance for wireless sensor networks when both the transmitters and receivers are arbitrarily distributed on a random rough surface such as desert, vegetation ground, sea surface and so on. First, we simulate electromagnetic wave propagation along the rough surface by using the discrete ray tracing method (DRTM). Second, we determ...Show More
Traveltimes of waves in three-dimensional random media
Geophysical Journal International
Cited by: Papers (1)
We present the results of a comprehensive numerical study of 3-D acoustic wave propagation in weakly heterogeneous random media. Finite-frequency traveltimes are measured by cross-correlation of a large suite of synthetic seismograms with the analytical pulse shape representing the response of the background homogeneous medium. The resulting ‘ground-truth’ traveltimes are systematically compared w...Show More
A pilot study on ultrasonic sensor-based measurement of head movement
In this paper, we propose a high-performance, ultrasonic sensor-based head movement detection system, which can be easily applied as an eye tracking device by rotating a mirror set in front of a video camera in a head-free video-based eye-gaze detection system. We propose a simple distance measurement method that uses an A-D converter and an envelope detection method. Experimental results indicate...Show More
Power Lines Extraction and Distance Measurement from Binocular Aerial Images for Power Lines Inspection Using UAV
2017 9th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)
Year: 2017 | Conference Paper |
Cited by: Papers (14)
With the development of autonomous perception and obstacle avoidance technologies for power lines inspection using unmanned aerial vehicles(UAV), the methods of power lines extraction and distance measurement from binocular aerial images become the spotlights gradually. In this paper, the Ratio detection operator and fast Hough transform are adopted to extract the pixels of power lines and detect ...Show More
Techniques for temporal registration of retinal images
2004 International Conference on Image Processing, 2004. ICIP '04.
Year: 2004 | Conference Paper |
Cited by: Papers (3)
Temporal registration of retinal images is helpful to provide physicians important information in tracking the evolution of eye-related diseases. The vascular structure of the retina is the most appropriate feature representation for registration. This paper describes a fast chamfer matching applied to the vascular structure to align pairs of fundus images. While the fast chamfer matching is able ...Show More
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.