UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-Generation Framework-Reference-Cited by-同舟云学术

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UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-Generation Framework

Published:2023-12-05 Issue: Volume:3 Page:570-576
ISSN:
Container-title:2023 21st International Conference on Advanced Robotics (ICAR)
language:
Short-container-title:

Author:

Amer Abdelhakim¹,Álvarez-Tuñón Olaya¹,Uğurlu Halil İbrahim¹,Le Fevre Sejersen Jonas¹,Brodskiy Yury²,Kayacan Erdal³

Affiliation:

1. Aarhus University,Department of Electrical Engineering and Computer Engineering,Aarhus,Denmark,8200

2. EIVA a/s,Skanderborg,Denmark,8660

3. Automatic Control Group, Paderborn University,Department of Electrical Engineering and Information Technology,Paderborn,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10406297/10406219/10406819.pdf?arnumber=10406819

Reference47 articles.

1. Underwater robots: a review of technologies and applications

2. Deep Reinforcement Learning for Motion Planning of Quadrotors Using Raw Depth Images

3. GateNet: An Efficient Deep Neural Network Architecture for Gate Perception Using Fish-Eye Camera in Autonomous Drone Racing

4. Gaussian Process-based Learning Control of Aerial Robots for Precise Visualization of Geological Outcrops

5. Recent Advances in AI for Navigation and Control of Underwater Robots

Cited by 2 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. NauSim;Jornadas de Automática;2024-07-12

2. Flexible Content-Aware Image Synthesis for Maritime Tasks with Diffusion Models;2024

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