ROSEBUD: A Deep Fluvial Segmentation Dataset for Monocular Vision-Based River Navigation and Obstacle Avoidance

ROSEBUD: A Deep Fluvial Segmentation Dataset for Monocular Vision-Based River Navigation and Obstacle Avoidance

Obstacle detection for autonomous navigation through semantic image segmentation using neural networks has grown in popularity for use in unmanned ground and surface vehicles because of its ability to rapidly create a highly accurate pixel-wise classification of complex scenes. Due to the lack of av...

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Bibliographic Details
Main Authors: Reeve Lambert, Jalil Chavez-Galaviz, Jianwen Li, Nina Mahmoudian
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
semantic segmentation training dataset
unmanned surface vehicle
obstacle detection
deep learning
computer vision
Online Access:https://www.mdpi.com/1424-8220/22/13/4681

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https://www.mdpi.com/1424-8220/22/13/4681

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