Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art

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This paper, published in 1950, received 336 indexed citations. Written by Joel Janai, Fatma Güney, Aseem Behl and Andreas Geiger covering the research area of Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (185 citations), Artificial Intelligence (87 citations) and Automotive Engineering (87 citations). Published in .

Countries where authors are citing Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art

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This map shows the geographic impact of Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art. 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 Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art more than expected).

Fields of papers citing Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/10.1561/0600000079.

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