Classical and neural network approaches to object detection in underwater robotics competitions-Reference-Cited by-同舟云学术

Classical and neural network approaches to object detection in underwater robotics competitions

Published:2022 Issue: Volume: Page:
ISSN:0094-243X
Container-title:INTERNATIONAL CONFERENCE ON INFORMATICS, TECHNOLOGY, AND ENGINEERING 2021 (InCITE 2021): Leveraging Smart Engineering
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Author:

Plotnikov V. A.,Akhtyamov T. R.,Kopanev P. D.,Serebrenny V. V.

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0083975

Reference33 articles.

1. Plotnikov V.A., Kamenev Ya.M. Cousteau II student competitive hybrid unmanned underwater vehicle in E.V. Armensky interuniversity scientific and technical conference of students, post-graduates and young specialists (2019), pp. 142–143.

2. Histograms of Oriented Gradients for Human Detection

3. Distinctive Image Features from Scale-Invariant Keypoints

4. Use of the Hough transformation to detect lines and curves in pictures

5. R. M. I. Mizrachy, “Real-time path planning and obstacle detection for autonomous underwater vehicle,” (2013).

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