Probabilistic Ship Detection and Classification Using Deep Learning
For an autonomous ship to navigate safely and avoid collisions with other ships, reliably detecting and classifying nearby ships under various maritime meteorological environments is essential. In this paper, a novel probabilistic ship detection and classification system based on deep learning is pr...
Main Authors: | Kwanghyun Kim, Sungjun Hong, Baehoon Choi, Euntai Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-06-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | http://www.mdpi.com/2076-3417/8/6/936 |
Similar Items
-
Ship Recognition and Tracking System for Intelligent Ship Based on Deep Learning Framework
by: Bo Liu, et al.
Published: (2019-12-01) -
Multi-Size Convolution and Learning Deep Network for SAR Ship Detection From Scratch
by: Long Han, et al.
Published: (2020-01-01) -
The Ocean-Going Autonomous Ship—Challenges and Threats
by: Andrzej Felski, et al.
Published: (2020-01-01) -
LMD-TShip<sup>⋆</sup>: Vision Based Large-Scale Maritime Ship Tracking Benchmark for Autonomous Navigation Applications
by: Yunxiao Shan, et al.
Published: (2021-01-01) -
On the Future of Maritime Transport – Discussing Terminology and Timeframes
by: Carl Hult, et al.
Published: (2019-06-01)