Efficient Scene Modeling for Underwater ROV Driving

Dr.Umberto Castellani; Dr.Vittorio Murino; Dr.Linmi Tao

首页> 外文期刊>Sea Technology: Worldwide Information Leader for Marine Business, Science & Engineering >Efficient Scene Modeling for Underwater ROV Driving

【24h】

Efficient Scene Modeling for Underwater ROV Driving

机译：水下ROV驾驶的高效场景建模

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Vision in an underwater environment is still a complex issue,especially due to the lack of effective image-acquisition devices.Optical sensors suffer from visibility problems and acoustical devices may possibly provide efficient solutions;but,on the other hand,acoustic image interpretation is more difficult for a human operator.

机译：水下环境中的视觉仍然是一个复杂的问题，尤其是由于缺少有效的图像采集设备。光学传感器会遇到可见性问题，声学设备可能会提供有效的解决方案;但是，另一方面，声学图像解释会更加有效。对于人工操作者来说很难。

著录项

来源
《Sea Technology: Worldwide Information Leader for Marine Business, Science & Engineering》 |2004年第12期|共6页
作者
Dr.Umberto Castellani; Dr.Vittorio Murino; Dr.Linmi Tao;
展开▼
作者单位

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类海洋学;
关键词

相似文献

外文文献
中文文献
专利

1. Efficient Scene Modeling for Underwater ROV Driving [J] . Dr.Umberto Castellani, Dr.Vittorio Murino, Dr.Linmi Tao Sea Technology: Worldwide Information Leader for Marine Business, Science & Engineering . 2004,第12期

机译：水下ROV驾驶的高效场景建模
2. Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes [J] . Abu Alhaija Hassan, Mustikovela Siva Karthik, Mescheder Lars, International Journal of Computer Vision . 2018,第9期

机译：增强现实符合计算机愿景：城市驾驶场景的高效数据生成
3. Underwater targets detection and classification in complex scenes based on an improved YOLOv3 algorithm [J] . Shi Tingchao, Liu Mingyong, Niu Yun, Journal of electronic imaging . 2020,第4期

机译：基于改进的YOLOV3算法的复杂场景中的水下检测和分类
4. An efficient model for prediction of underwater noise due to pile driving at large ranges [C] . Marten J. J. NIJHOF, Bas BINNERTS, Christ A. F. DE JONG, International Congress and Exposition on Noise Control Engineering . 2015

机译：大范围桩驱动引起的水下噪声预测的有效模型
5. Efficient and versatile three-dimensional scene modeling by sparse-depth dense-viewpoint acquisition [D] . Mudure, Mihai 2008

机译：通过稀疏深度密集视点采集进行高效通用的三维场景建模
6. Towards Void Hole Alleviation by Exploiting the Energy Efficient Path and by Providing the Interference-Free Proactive Routing Protocols in IoT Enabled Underwater WSNs [O] . Muhammad Awais, Nadeem Javaid, Amjad Rehman, 2019

机译：通过利用节能路径并通过启用物联网的水下WSN提供无干扰的主动路由协议来缓解空洞
7. A Rapid Scene Depth Estimation Model Based on Underwater Light Attenuation Prior for Underwater Image Restoration [O] . Wei Song, Yan Wang, Dongmei Huang, 2018

机译：基于水下图像恢复之前的水下光衰减的快速场景深度估计模型
8. Improved canopy reflectance modeling and scene inference through improved understanding of scene pattern [R] . Franklin, Janet, Simonett, David 1988

机译：通过改进对场景模式的理解，改进了冠层反射建模和场景推理

Efficient Scene Modeling for Underwater ROV Driving

摘要

著录项

相似文献

相关主题

期刊订阅