Examples of using Localization methods in English and their translations into Russian
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Research on localization methods of transportation networks objects using spatial.
Since digital maps can provide a large amount of data about the environment,the visual data may also find use in the localization methods.
To sum up the above, the requirements for localization methods can be characterized as follows.
Research on localization methods of transportation networks objects using spatial databases: Summary of the promotion work.
At present, it is known a significant amount of research devoted to the new heuristic localization methods beyond the scope of classical computational geometry.
A significant part of the localization methods assumes a network node, with a precisely known location in a global coordinate system.
For example, the same set of measurements can allow multiple network configurations,thus existing localization methods can return incorrect data about the coordinates of the network nodes.
Usually, the localization methods based on the scene analysis come down to two basic steps: collection of the area information and the position estimate based on the measured physical parameters.
Digital maps that have already become widely available location-based resource that carry a lot of potential additional source of data for the object localization methods in wireless transportation networks.
The paper analyzes the existing localization methods in the context of non-cooperative identification.
Accumulated errors in localization system based on motion sensors andthe mirroring effect of a signal in an urban environment adds an error component unacceptable for many modern applications what requires further search for opportunities to improve the accuracy and reliability of the localization methods.
Review and classification of localization methods used in modern cooperative transportation systems;
With this improvement, it becomes possible to locate the network with weakly connected distance graphs where other localization methods usage is very difficult or impossible in principle;
To compensate temporary dysfunction of other localization methods due to external interference and other obstacles to obtaining the necessary measurements;
Present the evidence-based recommendations for the use of the method to decision- making support in cases when classical localization methods of cooperative transportation systems are not applicable.
Generally, localization methods are used in wireless networks to determine the coordinates of nodes using the a priori known coordinates of the individual components and the results of some measurements, such as distances, angles, and other connectivity.
The results of the localization obtained by the proposed method can be used as the source of the missing information for the classical methods of localization oras a temporary source of information for the period of inoperability of the classical localization methods.
Author formulates requirements for transport systems cooperative localization methods and shows a possible way to implement them, taking in account scenarios when the classical methods are not applicable.
Object localization methods in wireless networks are typically used for estimating the location of the sensor with an initially unknown coordinates with respect to some of the sensors, whose coordinates are known a priori and are available for the necessary inter sensor measurements.
Main results of the thesis presented are universal in nature andshows that the proposed method can be widely used as a source of missing information for other localization methods, or as the source of information for the period of time when the classical methods of localization are unavailable.
Despite the undeniable progress in the localization methods that are using together the data received from the GPS and built-in sensors of different types, still there are situations when the availability and accuracy of localization are not high enough.
The strategy combines methods forthe precise determination of collisions between geometric primitives, collision localization methods using spatial decomposition based on regular octrees and kd-trees, the methods of hierarchies of bounding volumes based on AABB and OBB parallelepipeds, temporal coherence methods. .
It should be emphasized that the proposed localization methods in are not universal for any possible scenario, however, can successfully complement the classic methods of localization and replace them in an environment where, due to lack of information resources classical methods are not applicable.
However, the most serious limiting factor in the application of classical localization methods is generally a high probability of insufficient number of reference points or lack of precise topological data required for localization. .
Conclusions are made that,despite of significant progress in the localization methods development, based on the combined use of different sensors and GPS, still there are situations in which these tools and methods are ineffective or do not apply at all.
Localization method based on the proximity factor described by M.J.
The cost also reflects the website localization method.
Annotation: The automobile numbers localizations method in the image(videostream) is offered.
Localization method based on scene analysis suggests the possibility of monitoring some space around the object being localized.
It is noted that the localization method should consider that the network within a long period time, may stay both static and dynamically changing.