An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments-Reference-Cited by-同舟云学术

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An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments

Published:2018-11 Issue: Volume: Page:
ISSN:
Container-title:2018 21st International Conference on Intelligent Transportation Systems (ITSC)
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Author:

Haghbayan Mohammad-Hashem,Farahnakian Fahimeh,Poikonen Jonne,Laurinen Markus,Nevalainen Paavo,Plosila Juha,Heikkonen Jukka

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8543039/8569013/08569890.pdf?arnumber=8569890

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Maritime Object Detection by Exploiting Electro-Optical and Near-Infrared Sensors Using Ensemble Learning;Electronics;2024-09-11

2. An Anti-Occlusion Approach for Enhanced Unmanned Surface Vehicle Target Detection and Tracking with Multimodal Sensor Data;Journal of Marine Science and Engineering;2024-09-05

3. Optical and Synthetic Aperture Radar Image Fusion for Ship Detection and Recognition: Current state, challenges, and future prospects;IEEE Geoscience and Remote Sensing Magazine;2024

4. Field experiment of autonomous ship navigation in canal and surrounding nearshore environments;Journal of Field Robotics;2023-11-08

5. A review of intelligent ship marine object detection based on RGB camera;IET Image Processing;2023-10-18

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