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Comparison of stereo matching algorithms for obstacle detection and collision avoidanceтезисы доклада
Информация о цитировании статьи получена из
Web of Science,
Scopus
Дата последнего поиска статьи во внешних источниках: 11 ноября 2019 г.
- Авторы: Gladkov A., Gladilin S., Ershov E.
- Сборник: ICMV 2018
- Том: 11041
- Тезисы
- Год издания: 2019
- Место издания: SPIE
- Первая страница: 104122-1
- Последняя страница: 104122-8
- DOI: 10.1117/12.2523116
- Аннотация: In this paper the authors compared the accuracy of several stereo matching algorithms using problem-oriented metrics developed by the authors earlier for obstacle detection. For comparison we have chosen the most computationally effective open-source algorithms, suitable for using in autonomous systems with limited processor capacities. The quality of the algorithms was compared on the public dataset KITTI Stereo Evaluation 2015. The hypothesis that the problem-oriented metric of the stereo matching quality will lead to a different ranking than the universal metric, was not confirmed. At the same time, our measurements of the algorithms execution time showed results significantly different from those stated on KITTI portal.
- Добавил в систему: Гладилин Сергей Александрович