Computer Vision Techniques For Underwater Navigation
Download Computer Vision Techniques For Underwater Navigation full books in PDF, epub, and Kindle. Read online free Computer Vision Techniques For Underwater Navigation ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Christopher M. Barngrover |
| Publisher | : |
| Total Pages | : 118 |
| Release | : 2010 |
| Genre | : |
| ISBN | : 9781124067568 |
In the world of autonomous underwater vehicles (AUV) the prominent form of sensing has been sonar due to cloudy water conditions and dispersion of light. Although underwater conditions are highly suitable for sonar, this does not mean that vision techniques should be completely ignored. There are situations where visibility is high, such is in calm waters, and where light dispersion is not an issue, such as shallow water or near the surface. In addition, even when visibility is low, once a certain proximity to an object exists, visibility can increase. The focus of this project is this gap in capability for AUVs, with an emphasis on computer-aided detection through machine learning and computer vision techniques. All experimentation utilizes the Stingray AUV, a small and unique vehicle designed by San Diego iBotics. The first experiment is detection of an anchored buoy, which mimics the real world application of mine detection for the Navy. The second experiment is detection of a pipe, which mimics pipes in bays and harbors. The current algorithm for this application uses boosting machine learning on hue, saturation, value (HSV) to create a classifier followed by post processing techniques to clean the resulting binary image. There are many further applications for computer-aided detection and classification of objects underwater, from environmental to military.
| Author | : Margarita N. Favorskaya |
| Publisher | : Springer |
| Total Pages | : 307 |
| Release | : 2014-10-30 |
| Genre | : Technology & Engineering |
| ISBN | : 3319114301 |
The research book is focused on the recent advances in computer vision methodologies and innovations in practice. The Contributions include: · Human Action Recognition: Contour-Based and Silhouette-based Approaches. · The Application of Machine Learning Techniques to Real Time Audience Analysis System. · Panorama Construction from Multi-view Cameras in Outdoor Scenes. · A New Real-Time Method of Contextual Image Description and Its Application in Robot Navigation and Intelligent Control. · Perception of Audio Visual Information for Mobile Robot Motion Control Systems. · Adaptive Surveillance Algorithms Based on the Situation Analysis. · Enhanced, Synthetic and Combined Vision Technologies for Civil Aviation. · Navigation of Autonomous Underwater Vehicles Using Acoustic and Visual Data Processing. · Efficient Denoising Algorithms for Intelligent Recognition Systems. · Image Segmentation Based on Two-dimensional Markov Chains. The book is directed to the PhD students, professors, researchers and software developers working in the areas of digital video processing and computer vision technologies.
| Author | : Fouad Sabry |
| Publisher | : One Billion Knowledgeable |
| Total Pages | : 127 |
| Release | : 2024-04-28 |
| Genre | : Computers |
| ISBN | : |
What is Underwater Computer Vision Underwater computer vision is a subfield of computer vision. In recent years, with the development of underwater vehicles, the need to be able to record and process huge amounts of information has become increasingly important. Applications range from inspection of underwater structures for the offshore industry to the identification and counting of fishes for biological research. However, no matter how big the impact of this technology can be to industry and research, it still is in a very early stage of development compared to traditional computer vision. One reason for this is that, the moment the camera goes into the water, a whole new set of challenges appear. On one hand, cameras have to be made waterproof, marine corrosion deteriorates materials quickly and access and modifications to experimental setups are costly, both in time and resources. On the other hand, the physical properties of the water make light behave differently, changing the appearance of a same object with variations of depth, organic material, currents, temperature etc. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Underwater computer vision Chapter 2: Computer vision Chapter 3: Hydrographic survey Chapter 4: Autonomous underwater vehicle Chapter 5: Monterey Bay Aquarium Research Institute Chapter 6: Unmanned underwater vehicle Chapter 7: Noise reduction Chapter 8: Underwater vision Chapter 9: Video post-processing Chapter 10: Image quality (II) Answering the public top questions about underwater computer vision. (III) Real world examples for the usage of underwater computer vision in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Underwater Computer Vision.
| Author | : Alexander Inzartsev |
| Publisher | : IntechOpen |
| Total Pages | : 594 |
| Release | : 2009-01-01 |
| Genre | : Transportation |
| ISBN | : 9789537619497 |
For the latest twenty to thirty years, a significant number of AUVs has been created for the solving of wide spectrum of scientific and applied tasks of ocean development and research. For the short time period the AUVs have shown the efficiency at performance of complex search and inspection works and opened a number of new important applications. Initially the information about AUVs had mainly review-advertising character but now more attention is paid to practical achievements, problems and systems technologies. AUVs are losing their prototype status and have become a fully operational, reliable and effective tool and modern multi-purpose AUVs represent the new class of underwater robotic objects with inherent tasks and practical applications, particular features of technology, systems structure and functional properties.
| Author | : Antonio M. López |
| Publisher | : John Wiley & Sons |
| Total Pages | : 219 |
| Release | : 2017-02-17 |
| Genre | : Computers |
| ISBN | : 1118868048 |
A unified view of the use of computer vision technology for different types of vehicles Computer Vision in Vehicle Technology focuses on computer vision as on-board technology, bringing together fields of research where computer vision is progressively penetrating: the automotive sector, unmanned aerial and underwater vehicles. It also serves as a reference for researchers of current developments and challenges in areas of the application of computer vision, involving vehicles such as advanced driver assistance (pedestrian detection, lane departure warning, traffic sign recognition), autonomous driving and robot navigation (with visual simultaneous localization and mapping) or unmanned aerial vehicles (obstacle avoidance, landscape classification and mapping, fire risk assessment). The overall role of computer vision for the navigation of different vehicles, as well as technology to address on-board applications, is analysed. Key features: Presents the latest advances in the field of computer vision and vehicle technologies in a highly informative and understandable way, including the basic mathematics for each problem. Provides a comprehensive summary of the state of the art computer vision techniques in vehicles from the navigation and the addressable applications points of view. Offers a detailed description of the open challenges and business opportunities for the immediate future in the field of vision based vehicle technologies. This is essential reading for computer vision researchers, as well as engineers working in vehicle technologies, and students of computer vision.
| Author | : Joshua Otaigbe Alli |
| Publisher | : |
| Total Pages | : 148 |
| Release | : 2017 |
| Genre | : |
| ISBN | : |
| Author | : Antonio M. López |
| Publisher | : John Wiley & Sons |
| Total Pages | : 252 |
| Release | : 2017-02-08 |
| Genre | : Computers |
| ISBN | : 1118868056 |
A unified view of the use of computer vision technology for different types of vehicles Computer Vision in Vehicle Technology focuses on computer vision as on-board technology, bringing together fields of research where computer vision is progressively penetrating: the automotive sector, unmanned aerial and underwater vehicles. It also serves as a reference for researchers of current developments and challenges in areas of the application of computer vision, involving vehicles such as advanced driver assistance (pedestrian detection, lane departure warning, traffic sign recognition), autonomous driving and robot navigation (with visual simultaneous localization and mapping) or unmanned aerial vehicles (obstacle avoidance, landscape classification and mapping, fire risk assessment). The overall role of computer vision for the navigation of different vehicles, as well as technology to address on-board applications, is analysed. Key features: Presents the latest advances in the field of computer vision and vehicle technologies in a highly informative and understandable way, including the basic mathematics for each problem. Provides a comprehensive summary of the state of the art computer vision techniques in vehicles from the navigation and the addressable applications points of view. Offers a detailed description of the open challenges and business opportunities for the immediate future in the field of vision based vehicle technologies. This is essential reading for computer vision researchers, as well as engineers working in vehicle technologies, and students of computer vision.
| Author | : K. Plakas |
| Publisher | : |
| Total Pages | : |
| Release | : 1998 |
| Genre | : Image processing |
| ISBN | : |
| Author | : Josep Bosch Alay |
| Publisher | : |
| Total Pages | : 120 |
| Release | : 2018 |
| Genre | : |
| ISBN | : |
Omnidirectional vision has received increasing interest during the last decade from the computer vision community. However, the use of omnidirectional cameras underwater is still very limited. In this thesis we propose several methods to create a reference resource for designing, calibrating and using underwater omnidirectional multi-camera systems (OMS). The first problem we address is their design and calibration. Next, we study stitching strategies to generate omnidirectional panoramas from individual images. Finally, we focus on potential underwater applications. We first explore the promising uses of omnidirectional cameras to create immersive virtual experiences and secondly, we demonstrate the capabilities of omnidirectional cameras as complementary sensors for the navigation of underwater robots. To validate all presented algorithms, two custom omnidirectional cameras were built and several experiments with divers and underwater robots have been carried out to collect the necessary data.
| Author | : Alexander Inzartsev |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 596 |
| Release | : 2009-01-01 |
| Genre | : Transportation |
| ISBN | : 9537619494 |
For the latest twenty to thirty years, a significant number of AUVs has been created for the solving of wide spectrum of scientific and applied tasks of ocean development and research. For the short time period the AUVs have shown the efficiency at performance of complex search and inspection works and opened a number of new important applications. Initially the information about AUVs had mainly review-advertising character but now more attention is paid to practical achievements, problems and systems technologies. AUVs are losing their prototype status and have become a fully operational, reliable and effective tool and modern multi-purpose AUVs represent the new class of underwater robotic objects with inherent tasks and practical applications, particular features of technology, systems structure and functional properties.
