Marine Object Segmentation and Tracking by Learning Marine Radar Images for Autonomous Surface Vehicles-Reference-Cited by-同舟云学术

Marine Object Segmentation and Tracking by Learning Marine Radar Images for Autonomous Surface Vehicles

Published:2023-05-01 Issue:9 Volume:23 Page:10062-10070
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Kim Hanguen¹,Kim Donghoon¹^ORCID,Lee Seung-Mok²^ORCID

Affiliation:

1. Seadronix Corporation, Seoul, Gangnam-gu, Republic of Korea

2. Department of Smart Automobile, Soonchunhyang University, Asan, Republic of Korea

Funder

Soonchunhyang University Research Fund

Development of a Situational Awareness System for Preventing Collisions and Accidents of Autonomous Ships funded by the Ministry of Trade, Industry and Energy (MOTIE), South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10113769/10081294.pdf?arnumber=10081294

Reference35 articles.

1. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

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4. Deep Neural Network Based Vehicle and Pedestrian Detection for Autonomous Driving: A Survey

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