针对水下对接过程中近距离引导和定位问题,以ARV (Autonomous&Remotely Operated Vehicle)水下对接末端引导应用中对图片特征点的快速准确匹配为目标,提出结合引导灯信息的图片特征点匹配算法。在传统的ORB(Oriented FAST and Rotat...针对水下对接过程中近距离引导和定位问题,以ARV (Autonomous&Remotely Operated Vehicle)水下对接末端引导应用中对图片特征点的快速准确匹配为目标,提出结合引导灯信息的图片特征点匹配算法。在传统的ORB(Oriented FAST and Rotated BRIEF)特征点匹配算法利用关键点和描述子表征特征点的基础上,增加了相对位置信息。在特征点的提取阶段提取关键点、BRIEF描述子和相对位置信息,在匹配阶段同时考虑描述子和相对位置信息的匹配程度,提高了特征点匹配的准确率和鲁棒性。同时,在特征点提取阶段利用引导灯辅助精确计算图片的缩放尺度,使得特征点的提取更加精确、速度更快。通过实验,验证算法的有效性,证明了文中提出的算法提高了图片特征点匹配的准确率和鲁棒性,同时缩短了算法的运算时间,有利于保障定位算法的实时性,从而提升水下对接的成功率。展开更多
The advantages of using unmanned underwater vehicles in coastal ocean studies are emphasized. Two types of representative vehicles, remotely operated vehicle (ROV) and autonomous underwater vehicle (AUV) from Universi...The advantages of using unmanned underwater vehicles in coastal ocean studies are emphasized. Two types of representative vehicles, remotely operated vehicle (ROV) and autonomous underwater vehicle (AUV) from University of South Florida, are discussed. Two individual modular sensor packages designed and tested for these platforms and field measurement results are also presented. The bottom classification and albedo package, BCAP, provides fast and accurate estimates of bottom albedos, along with other parameters such as in-water remote sensing reflectance. The real-time ocean bottom optical topographer, ROBOT, reveals high-resolution 3-dimentional bottom topography for target identification. Field data and results from recent Coastal Benthic Optical Properties field campaign, 1999 and 2000, are presented. Advantages and limitations of these vehicles and applications of modular sensor packages are compared and discussed.展开更多
Given the recent success in the development of several submersibles in China, people's interest in the history of submersible development is increasing. This paper presents the history of submersible development i...Given the recent success in the development of several submersibles in China, people's interest in the history of submersible development is increasing. This paper presents the history of submersible development in China, which can be briefly divided into three periods. The first one is the early period of hardship(1971–2000). Many prototype submersibles of HOVs, ROVs, and AUVs were developed at this time, but the main achievement was the establishment of special research organizations and the training of research and development personnel. The second period can be regarded as the quick development period(2001–2015). All currently used submersibles were developed during this period. The most remarkable achievement was the successful development of 7000 m-deep manned submersible "Jiaolong." The third period aims to develop 11 000 m submersibles for challenging the full ocean depth(2016–2020). In this period, two unmanned submersibles and two manned submersibles will be the significant indicators of achievement. If this 5-year plan can be successfully completed, China can play a significant role in the investigation of the deepest part of the oceans, namely, the hadal trenches(6500–11 000 m).展开更多
文摘针对水下对接过程中近距离引导和定位问题,以ARV (Autonomous&Remotely Operated Vehicle)水下对接末端引导应用中对图片特征点的快速准确匹配为目标,提出结合引导灯信息的图片特征点匹配算法。在传统的ORB(Oriented FAST and Rotated BRIEF)特征点匹配算法利用关键点和描述子表征特征点的基础上,增加了相对位置信息。在特征点的提取阶段提取关键点、BRIEF描述子和相对位置信息,在匹配阶段同时考虑描述子和相对位置信息的匹配程度,提高了特征点匹配的准确率和鲁棒性。同时,在特征点提取阶段利用引导灯辅助精确计算图片的缩放尺度,使得特征点的提取更加精确、速度更快。通过实验,验证算法的有效性,证明了文中提出的算法提高了图片特征点匹配的准确率和鲁棒性,同时缩短了算法的运算时间,有利于保障定位算法的实时性,从而提升水下对接的成功率。
基金support to the University of South Florida(Grants No.0014-96-1-5013 and No.0014-97-1-0006)cooperation between Ocean University of China and University of South Florida.
文摘The advantages of using unmanned underwater vehicles in coastal ocean studies are emphasized. Two types of representative vehicles, remotely operated vehicle (ROV) and autonomous underwater vehicle (AUV) from University of South Florida, are discussed. Two individual modular sensor packages designed and tested for these platforms and field measurement results are also presented. The bottom classification and albedo package, BCAP, provides fast and accurate estimates of bottom albedos, along with other parameters such as in-water remote sensing reflectance. The real-time ocean bottom optical topographer, ROBOT, reveals high-resolution 3-dimentional bottom topography for target identification. Field data and results from recent Coastal Benthic Optical Properties field campaign, 1999 and 2000, are presented. Advantages and limitations of these vehicles and applications of modular sensor packages are compared and discussed.
基金supported by the State Key Program of National Natural Science of China "Structural Reliability Analysis on the Spherical Hull of Deep Sea MSs"(Grant No.51439004)the Scientific Innovation Program Project of "Key technology research and experimental validation of deep MS" by the Shanghai Committee of Science and Technology(Grant No.15DZ1207000)
文摘Given the recent success in the development of several submersibles in China, people's interest in the history of submersible development is increasing. This paper presents the history of submersible development in China, which can be briefly divided into three periods. The first one is the early period of hardship(1971–2000). Many prototype submersibles of HOVs, ROVs, and AUVs were developed at this time, but the main achievement was the establishment of special research organizations and the training of research and development personnel. The second period can be regarded as the quick development period(2001–2015). All currently used submersibles were developed during this period. The most remarkable achievement was the successful development of 7000 m-deep manned submersible "Jiaolong." The third period aims to develop 11 000 m submersibles for challenging the full ocean depth(2016–2020). In this period, two unmanned submersibles and two manned submersibles will be the significant indicators of achievement. If this 5-year plan can be successfully completed, China can play a significant role in the investigation of the deepest part of the oceans, namely, the hadal trenches(6500–11 000 m).
