Real-time Vision Based Obstacle Detection in Maritime Environments-Reference-Cited by-同舟云学术

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Real-time Vision Based Obstacle Detection in Maritime Environments

Published:2022-04-29 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)
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Author:

Nunes Duarte¹,Fortuna Joao¹,Damas Bruno²,Ventura Rodrigo³

Affiliation:

1. CEiiA – Centro de Engenharia e Desenvolvimento,Ocean & Space Unit – Department of Electronics & Embedded Systems,Matosinhos,Portugal

2. CINAV – Centro de Investigação Naval,Almada,Portugal

3. Institute for Systems and Robotics, Instituto Superior Técnico,Lisbon,Portugal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9784764/9784765/09784771.pdf?arnumber=9784771

Reference30 articles.

1. Safe Maritime Autonomous Navigation With COLREGS, Using Velocity Obstacles

2. WaSR--A Water Segmentation and Refinement Maritime Obstacle Detection Network

3. Obstacle Detection for USVs by Joint Stereo-View Semantic Segmentation

4. Stereo obstacle detection for unmanned surface vehicles by IMU-assisted semantic segmentation

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1. DLSW-YOLOv8n: A Novel Small Maritime Search and Rescue Object Detection Framework for UAV Images with Deformable Large Kernel Net;Drones;2024-07-09

2. A YOLO Benchmarking Experiment For Maritime Object Detection In Foggy Environments;2024 IEEE 14th Symposium on Computer Applications & Industrial Electronics (ISCAIE);2024-05-24

3. Visual Ranging Based on Object Detection Bounding Box Optimization;Applied Sciences;2023-09-22

4. Multi-Object Detection for Inland Ship Situation Awareness Based on Few-Shot Learning;Applied Sciences;2023-09-13

5. A Benchmark for Maritime Object Detection with Centernet on an Improved Dataset, ABOships-PLUS;Journal of Marine Science and Engineering;2023-08-22

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