Please use this identifier to cite or link to this item:
https://libeldoc.bsuir.by/handle/123456789/34693
| Title: | Pixel level based convolutional neural networks model for robot navigation |
| Authors: | Heger, D. A. |
| Keywords: | материалы конференций;pixel level;convolutional neural networks;robot navigation |
| Issue Date: | 2019 |
| Publisher: | БГУИР |
| Citation: | Heger, D. A. Pixel level based convolutional neural networks model for robot navigation / D. A. Heger // BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : сборник материалов V Международной научно-практической конференции, Минск, 13–14 марта 2019 г. В 2 ч. Ч. 1 / Белорусский государственный университет информатики и радиоэлектроники; редкол. : В. А. Богуш [и др.]. – Минск, 2019. – С. 13 – 14. |
| Abstract: | Vision-based autonomous robot navigation depicts a vivacious area of research with nu-merous
algorithms been developed. Most of the algorithms either focus on scene-oriented simul-taneous localization and
mapping (SLAM) or explore robot-oriented lane-detection/trajectory tracking. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/34693 |
| Appears in Collections: | BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : материалы конференции (2019)
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