Marine Objects Detection Using Deep Learning on Embedded Edge Devices-Reference-Cited by-同舟云学术

Marine Objects Detection Using Deep Learning on Embedded Edge Devices

Published:2022-10-13 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Workshop on Rapid System Prototyping (RSP)
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Author:

Heller D.¹,Rizk M.²,Douguet R.¹,Baghdadi A.²,Diguet J-Ph.³

Affiliation:

1. Universtité de Bretagne-Sud,Lab-STICC UMR CNRS 6285,Lorient,France

2. IMT Atlantique,Lab-STICC UMR CNRS 6285,Brest,France

3. CNRS, IRL CROSSING,Adelaide,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10038988/10038998/10039025.pdf?arnumber=10039025

Reference40 articles.

1. Assessing Deep-learning Methods for Object Detection at Sea from LWIR Images

2. Outlook for navigation-comparing human performance with a robotic solution;Blanke

3. Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey

4. A survey of ship target feature extraction based on video surveillance

5. Challenges in video based object detection in maritime scenario using computer vision;Prasad;Inter. Journal of Computer and Information Engineering,2017

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