Monte Carlo localization: efficient position estimation for mobile robots

744 indexed citations

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This paper, published in 1999, received 744 indexed citations. Written by Dieter Fox, Wolfram Burgard, Frank Dellaert and Sebastian Thrun covering the research area of Artificial Intelligence, Aerospace Engineering and Signal Processing. It is primarily cited by scholars working on Aerospace Engineering (488 citations), Computer Vision and Pattern Recognition (386 citations) and Electrical and Electronic Engineering (277 citations). Published in National Conference on Artificial Intelligence.

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Countries where authors are citing Monte Carlo localization: efficient position estimation for mobile robots

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This map shows the geographic impact of Monte Carlo localization: efficient position estimation for mobile robots. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Monte Carlo localization: efficient position estimation for mobile robots with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monte Carlo localization: efficient position estimation for mobile robots more than expected).

Fields of papers citing Monte Carlo localization: efficient position estimation for mobile robots

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Monte Carlo localization: efficient position estimation for mobile robots. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Monte Carlo localization: efficient position estimation for mobile robots.

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This paper is also available at doi.org/w3629324.

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