Object Detection To Enable Autonomous Vessels On European Inland Waterways-Reference-Cited by-同舟云学术

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Object Detection To Enable Autonomous Vessels On European Inland Waterways

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
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Author:

Billast Mattias¹,Janssens Robin¹,Vanneste Astrid¹,Vanneste Simon¹,Vasseur Olivier¹,Anwar Ali¹,Mets Kevin¹,De Schepper Tom¹,Oramas Jose¹,Latre Steven¹,Hellinckx Peter¹

Affiliation:

1. University of Antwerp – imec,IDLab - Faculty of Applied Engineering,Antwerp,Belgium

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9968313/9968303/09969042.pdf?arnumber=9969042

Reference26 articles.

1. ORB: An efficient alternative to SIFT or SURF

2. Imagenet classification with deep convolutional neural networks;krizhevsky;Advances in neural information processing systems,2012

3. Faster r-cnn: Towards real-time object detection with region proposal networks;ren;Advances in neural information processing systems,2015

4. SSD: Single Shot MultiBox Detector

5. Yolov3: An incremental improvement;redmon;CoRR,2018

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1. Self-annotated Labelling and Training Data for Traffic Video Object Detection Using Machine Learning Techniques;IFIP Advances in Information and Communication Technology;2024

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